Artificial intelligence (AI) Books

Book SynopsisThis book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2021) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field. Table of ContentsApp OnViolet on UV radiation skin care habits.- Identifying Key Quality Features of mHealth Applications Unsupervised Feature Selection Approach: MARS Case Study.- Implementation of e-health in Burkina Faso: a status report.- A Training Web Platform to improve Cognitive Skills for Phishing Attacks Detection.- Development of a linear model of diabetes mellitus with a PID controller and a method for automatic adjustment of the PID controller.- Financial decisions in Colombian organisations in the health sector.- Business innovation capabilities in the road infrastructure sector in the Caribbean region of Colombia.- Smart Agricultural System Using IoT.- IoT based Low Cost Automated Irrigation System for Smart Farming.- Simultaneous measurements reading from more than one MiBand 3 wristbands.- When one wireless technology is not enough: a network architecture for precision agriculture using LoRa, WIFI and LTE.- Application of Generative Adversarial Network for Designer-Assistance System.- The Research of Marco-Control Diagram of ESP Well Based on Machine Learning.- Detection System Potholes on Roads based-on Recurrent Neuronal Network.- Eduinformatics: A New Academic Field Needed in the Age of Information and Communication Technology.- Classification of Sagittal Lumbar Spine MRI for Lumbar Spinal Stenosis Detection using Transfer Learning of a Deep Convolutional Neural Network.- Robust Facial-Based Inter-Beat Interval Estimation through Spectral Signature Tracking and Periodic Filtering.- Research and Application on Optimization of Drainage Gas Recovery Methods in Linxing block.- Can the Measurements of Albumin and Glucose be Correlated Each Other? A Physics-based Theory.- Hybrid 2D Theory of Outdoor Infections in Times of Global Pandemic.- Impacts of Blockchain on Digital Marketing.- A Review of Various Techniques used in the Implementation of Lane Departure and Road Detection.- Virtual Police Station System with Chat Bot using FSM.- Khon Gesture Detection with Deep Learning Algorithms.- Contribution of Robotics in Medical Applications A Literary Survey.- Development of Virtual Reality Training System Based on EEG Biofeedback.- Adapting Automatic Speech Recognition to the Radiology Domain for a Less-Resourced Language: The Case of Latvian.- Contextualization of Personal Data Discovery and Anonymization Tools.- Early Lungs Tuberculosis Detection using Deep Learning.- Localising the privacy requirement to improve the scalability issue of blockchain.- Performance analysis of Wi-Fi and LTE-LAA/LTE-U.- Blockchain Based Decentralized Electronic Voting System.- Human-robot-intermittency and -invariants.- Breast Cancer Detection Using Machine Learning Algorithms.- A Machine learning based congenital categorization approach in early recognition of breast carcinoma.- Review of Powering and Actuation in Bio-robotic Walking Orthoses.- Study of Device-To-Device Communication in the Next Generation of Wireless Communication.- Atherosclerosis Disease Prediction Based on Feature Optimization and Ensemble Classifier.- Damage Estimation of Reed Fibers during Recycling.- Sentiment Analysis in Teachers Performance Rating using Naïve Bayes Algorithm. The lack of focus given to ethical training in the IT Industry.- Heuristic approach to sustainable agile development with secure indicators.- Improving collaborative filtering based recommender system with season and style features.- Predicting Sentiment & Emotion on ASD using Machine learning & Deep neural networks based on Twitter data.- INCIDENCE OF DIALECTAL ACCENTS IN THE STUDENTS' LISTENING UNDERSTANDING.- Classification of Handwritten Indic Scripts using Deep Learning.- Classification of Recyclable Waste Generated in Indian Households.- A Hybrid Model on Deep Learning for the diagnosis of Diabetic Retinopathy using Image Cropping.- Automation of Translating Unit-Level Verification Scenarios for Test Vector Generation of SoC.- Analysis of Firmware Security Mechanisms.- Mutual Funds Categorization using Ensemble Clustering.- Load Balancing Synchronized Brownout Oriented Approach For Safeguarding Cloud Services Sustainability.- Blockchain based Location Sharing in 5G Open RAN Infrastructure for Sustainable Communities.- Carbon Footprint Analysis using Knowledge Graph.- Automatic Traffic light Detection for Self-driving cars using Transfer Learning.- An exploratory study to evaluate the quality of Research publication by the Indian researchers.- Data Center Simulation for Resource Utilization Analysis at Extended Loads.- Detection of Alzheimer’s Disease through Speech features and Machine Learning Classifiers.- An Approach to Paperless Administration of Offices in India using Blockchain.- Key Technology Adoption Indicators for Smart Universities: A Preliminary Proposal.- Smart Farm Water Requirement Analysis Using Machine Learning.- Abnormal Activity Detection Using Deep Learning.- Noisy Dense Label Prediction with Noise Robust Loss Functions.- A Systematic Review on Convolutional Neural Networks for Sentinel-2 Image Classication.- Categorical analysis of c ode s mell d etection using machine learning algorithms.- Foreign Accent Recognition using a Combination of Native and Non-native Speech.- A novel upgraded uniform embedding technique for JPEG steganography.- Insights into Developers’ Abandonment in FLOSS Projects.- A Machine Learning Approach for Heart Attack Prediction.- Bio-Inspired Framework for Security in IoT Devices.- Reaction capacity identification problem: is there any way to formalize scientific knowledge and automate reasoning so that intelligent systems can solve it?.

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Book SynopsisThis conference proceeding is a collection of the papers accepted by the CENet2021 – the 11th International Conference on Computer Engineering and Networks held on October 21-25, 2021 in Hechi, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.

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Book SynopsisThis book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021).Table of ContentsGenetic Algorithm based vaccine optimization technique to control COVID-19.- Ethereum MongoDB: Integrating Blockchain with Non-Relational Databases.- Attention based Discrimination of Mycoplasma Pneumonia.- Minimum Weight Dominating Set using Chemical Reaction Optimization Algorithm.- A Hybrid Domain Fragile Watermarking Techniques for Authentication of Color Images.- IOT based Carbon Monoxide Monitoring Model for Transportation Vehicles.- TWEERIFY: A Web based Sentiment Analysis System using Rule and Deep Learning Techniques.- Machine Learning Based Fake News Detection on Covid-19 Tweets Data.- ADVERSE EFFECT OF ELECTROMAGNETICFREQUENCY ON HUMAN BEING HEALTH UNDER REAL LIFE SCENARIO: A COMPARATIVE STUDY.

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Book SynopsisThis book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.Table of ContentsIntroduction.- Data Analysis and Mathematical Modeling for Covid-19 Pandemic.- Influence of Covid-19 on Quality of Work Life in Real Estate Sector.- Influence of Covid-19 on Quality of Work Life in Education Sector.- Influence of Covid-19 on Quality of Work Life in Information Technology/ Software Industries.- Influence of Covid-19 on Quality of Work Life in Agriculture Sector.

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Book SynopsisThis book includes high-quality papers presented at 15th International Conference on Information Technology and Applications (ICITA 2021), held in Dubai, UAE during 13 – 14 November 2021. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning / e-learning, computer networks, and web engineering.Table of ContentsA convolutional neural network for artifacts detection in EEG data.- Real-World Protein Particle Network Reconstruction Based on Advanced Hybrid Features.- Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning.- Beard and Hair Detection, Segmentation and Changing Color Using Mask R-CNN.- Transfer Learning Method with Deep Residual Network for Covid-19 Diagnosis Using Chest Radiographs images.- Deep Learning Approach for COVID-19 Diagnosis Using X-Ray Images.- A hybrid approach for classifying Parkinson’s Disease from brain MRI.- Analysis of Generative Adversarial Networks for Data Driven Inverse Airfoil Design.- Deep Oversampling Technique for 4-level Acne Classification in Imbalanced Data.- Decentralisation of FinTech Business Models.- Dynamic Offloading in Fog Computing: A Survey.- A Vietnamese Festival Preservation Application.- Knowledge Models For Software Testing In Robotics.- Performance Enhancement of SAC-OCDMA System Using an Identity Row Shifting Matrix Code.- Malware Prediction using using LSTM Networks.- Personalised Combination of Multi-source Data for User Profiling.- The teaching of technical design in technical courses in Computer Graphics at Federal Institutes of Education, Science and Technology.

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Book SynopsisThis book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on May 8–9, 2021, at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.Table of ContentsSelf-Regulation Management in Iot Infrastructure using Machine Learning.- Corpus Creation for Anaphora Resolution in Punjabi Language.- Challenges in Recognition of Kashmiri Script.- An Intensive literature Review on Machine Translation Using Neural Approach.- Notation Systems Applied on Indian Sign Language: A Review.- Anatomy of Various Biomarkers for Diagnosis of Socio Behavioral Disorders.- An Improved CSHO Technique for Mathematical and Multidisciplinary Engineering Applications.- Text Processor for IPC Prediction.- A Hybrid Approach for Sleep States Detection using Blood Pressure and EEG Signal.- Applications of Artificial Intelligence in Smart Agriculture: A Review.- Impact of Fractal Geometry on Microstrip Patch Antenna at Futuristic Frequencies.- Classification and Identification of Partial Outage in Transmission Lines using Deep Learning.- Route Tracer: A Shortest and Safest Path Calculator.- Reinforcement Learning in Medical Diagnosis: An Overview.- Importance of Pulse Examination and its Diagnostic System.- Internet of Device to Device Things: Concern, Challenges and Applications.

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Book SynopsisThe book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.Table of ContentsMachine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS).- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique.- Placement Analysis – A New Approach to Ease the Recruitment Process.- Continuous Assessment Analyzer using Django.- Fuzzy Logic in Battery Energy Storage System (Bess).- Fault Classification of Cooling Fans using a CNN-based Approach.- Violence Recognition using Convolutional Neural Networks.- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method.- The Future of Car Automation Field with Smart Driverless Technologies.- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach.- Automated Guided Vehicle Robot Localization with Sensor Fusion.- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up.- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration.- Defect Severity Classification of Complex Composites using CWT and CNN.- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning.- Industry Revolution 4.0 Knowledge Assessment in Malaysia.

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Book SynopsisThis book presents best selected research papers presented at the 4th International Conference on Cognitive Informatics and Soft Computing (CISC 2021), held at Balasore College of Engineering & Technology, Balasore, Odisha, India, from 21–22 August 2021. It highlights, in particular, innovative research in the fields of cognitive informatics, cognitive computing, computational intelligence, advanced computing, and hybrid intelligent models and applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of computer science, artificial intelligence, cybernetics, automation control theory, and software engineering.Table of ContentsHow Servant Leadership is Effective for Employee Performance with the use of t-Test, Algorithm and ANOVA.- Interpreting Skilled and Unskilled Tasks using EEG signals.- Data Transmission in Clouds Using Heed and Energy Efficient Routing Algorithm.- Modelling and Optimization of Reaction Parameters for Glycerol Production using Response Surface Methodology.- Allocation of Different Type of DG Sources in a Time-Varying Radial Distribution Networks.- FSO at Moderate Atmospheric Turbulence using 16 QAM.- Performance Enhancement of Planar Antenna for Wireless Applications.- Invariant Features based Dynamic Scene Classification using the Optimized Convolution Neural Network.- Improvement of Solar Panel Efficiency with Automatic Cleaning Robot.- Performance Analysis of Grid Connected Distributed Generation Sources (DGS) using ETAP.- Modeling and Simulation for Stability Improvement and Harmonic Analysis of Naghlu Hydro Power Plant.- Sizing and Optimization of Hybrid Energy Storage System with Renewable Energy Generation Plant.- Evaluation of THD and Voltage Instability for Interconnected Hybrid Solar and Wind Power Generation.- Analysis and Optimization of Stability in Hybrid Power System using Statcom.

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Book SynopsisThis book presents the proceedings of the International Science and Technology Conference “FarEastCon 2021,” which took place on October 5–8, 2021, in Vladivostok, Russian Federation. The book discusses modern achievements and promising research in the sphere of intelligent technologies in solving real, applied problems in various fields of industry and economic policies of different countries. Featuring selected papers from the conference, this book is of interest to experts in various fields whose work involves developing innovative solutions and increasing the efficiency of economic activities.Table of ContentsOperator of Connection Between the Langmuir Equation and Oparin’s Kinematic Equation for Pendulum-Type Waves. Part I.- Operator of Connection Between the Langmuir Equation and Oparin’s Kinematic Equation for Pendulum-Type Waves. Part II.- Operator of Connection Between the Langmuir Equation and Oparin’s Kinematic Equation for Pendulum-Type Waves. Part III.- On Algorithms of Digital Simulators in Education.- Problems and Risks of the It Outsourcing Market in Russia.- Investment Prospects for Renewable Energy Projects in the Republic of Buryatia.- Software Development Technology for Predictive Analysis of the Functioning of Credit Institutions.- Method for Assessing Organization System Quality.- Analysis of the Management of Sector “Security” as Part of the Strategic Management of Bulgaria.- Circular Economy (CE) Innovation and Internationalization of Small and Medium Enterprises (SMEs): Geographical Overview and Sectorial Patterns.- Methodology for Evaluating the Effectiveness of Implementing Investments in Lean Enterprise Production.- Perfection of the Process of Interaction of Various Types of Transport in the Far Eastern Transport Hubs.

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Book SynopsisThis book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on June 8–9, 2021 by Eötvös Loránd University (ELTE), Budapest, Hungary in association with many Universities; WSG Poland, Knowledge University, ERBIL. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.Table of ContentsAWRPS-ROBO: Automated Weed Removal and Pesticides Spray.- Designing of Cavity Filter with Slot Coupling Mechanism for ku Band.- Use of Smart Mobile Applications with IoT in Diseases Prediction System for Apple Orchards.- Review on Miniaturized Flexible Wearable Antenna for Body Area Network.- DEERS: Design Energy Efficient Routing Scheme for Harsh Environment Monitoring in HWSNs.- Context Enriched Machine Learning based Approach for Sentiment Analysis.- Recommending Books using RNN.- A Survey on Applications of Unmanned Aerial Vehicles (UAVs).- Early Detection of Influenza using Machine Learning Techniques.- Fuzzy Time-Series Models Based on Intuitionistic Fuzzy, Rough Set Fuzzy and Differential Evolution.- Genetic Algorithm Application on 3-D Pipe Routing: A Review.- Directed Undersampling using Active Learning for Particle Identification.- Smart Agriculture using Internet of Things: An Empirical Study.- A Study on the Implementation of Secure VANETs using FPGA.- Massive MIMO System – Overview, Challenges and Course of Future Research.- Millimeter-Wave Dual-Band (32/38 GHz) Microstrip Patch Antenna for 5G Communication.- Design and Analysis of Single band and Wideband Wineglass Shaped Patch Antenna for WLAN and Satellite Applications.

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Book SynopsisThis volume presents select proceedings of the International Conference on Sustainable Advanced Computing (ICSAC – 2021). It covers the latest research on a wide range of topics spanning theory, systems, applications, and case studies in advanced computing. Topics covered are machine intelligence, expert systems, robotics, natural language processing, cognitive science, quantum computing, deep learning, pattern recognition, human-computer interface, biometrics, graph theory, etc. The volume focuses on the novel research findings and innovations of various researchers. In addition, the book will be a promising solution for new generation-based sustainable, intelligent systems that are machine and human-centered with modern models and appropriate amalgamations of collaborative practices with a general objective of better research in all aspects of sustainable advanced computing. Table of ContentsPredictive Analytics for real time Agriculture Supply Chain Management: A novel pilot study.- Analysis and Prediction of Crop Infestation Using Machine Learning.- ECG based Personal Identification System.- Explorations in Graph-based Ranking Algorithms for Automatic Text Summarization on Konkani Texts.- Demography Based Hybrid Recommender System for Movie Recommendations.- Holistic Recommendation System Framework For Health Care Programs.- A synthetic data generation approach using correlation coefficient and neural networks.- Cepstral Coefficient based Gender Classification using Audio signals.

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Book SynopsisThis book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2021. The volume covers a wide range of topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. The book will serve as a valuable reference resource for academics and researchers across the globe.Table of ContentsChapter 1: NITG Chain: A Scalable, Private and Permissioned Blockchain with Proof of Reputation Consensus Method.- Chapter 2: Safeguarding Geo-location for Social Media with Local Differential Privacy and l-diversity.- Chapter 3: Detection of False Data Injection Cyber Attack in Smart Grid by Convolutional Neural Network based Deep Learning Technique.- Chapter 4: Democratic After-Market for Domain Names.- Chapter 5: Defect analysis of Faulty regions in Photovoltaic Panels using Deep Learning method.- Chapter 6: Leveraging a honeypot router for discovering and characterizing attacks on routers.- Chapter 7: Multimodal Biometric Authentication using Watermarking Technique.

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Book SynopsisThis book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2021), held at University of La Laguna, Tenerife, Spain, during December 2–4, 2021. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.

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Book SynopsisThis book presents high-quality research papers presented at the Second International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2021) held during June 16–17, 2021, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea. The book includes selected works from academics and industrial experts in the field of computer science, information technology, and electronics and telecommunication. The content addresses challenges of cyber security.Table of Contents​A Novel Keyless LCD Based Method to Control the Latch.- A Novel Keyless LCD Based Method to Control the Latch.- Highly Uncertain and Dynamic Environment for Performing Varied Classes of Drone Classification.

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Book SynopsisThis book is a compilation of contributed research work from International Conference on Electronic Systems and Intelligent Computing (ESIC 2021) and covers the areas of electronics, communication, electrical and computing. This book is specifically targeted to the students, research scholars and academician from the background of electronics, communication, electrical and computer science. Advances in electronics, communication, electrical and computing cover the different approaches and techniques for specific applications using particle swarm optimization, Otsu’s function and harmony search optimization algorithm, DNA-NAND gate, triple gate SOI MOSFET, micro-Raman and FTIR analysis, high-k dielectric gate oxide, spectrum sensing in cognitive radio, microstrip antenna, GPR with conducting surfaces, energy-efficient packet routing, iBGP route reflectors, circularly polarized antenna, double fork-shaped patch radiator, implementation of Doppler radar at 24 GHz, iris image classification using SVM, digital image forgery detection, secure communication, spoken dialog system and DFT-DCT spreading strategies.Table of ContentsA Parallel Implementation of FastBit Radix Sort using MPI and CUDA.- Performance Improvement of S-Shaped for Wireless Communication.- Design of an Automated Stethoscope using AI, IoT & Signal Processing.- Early prediction of cardiovascular disease prediction using machine learning algorithms.- A Decentralized Network to support funding with Ethereum Smart Contract.- A Convolutional Neural Network Based Approach For Automatic Dog Breed Classification Using Modified-Xception Model

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Book SynopsisThis book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24–25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies.Table of ContentsArtificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited.- Deep Learning Implementation for Dark Matter Particle Detection.- Augmentation of Handwritten Devanagari Character Dataset Using DCGAN.- Deep Reinforcement Learning for Optimal Traffic Control.- Ensemble Semi-Supervised Machine Learning Algorithm for Classifying Complaint Tweets.- Underwater Image Enhancement Using Fusion Stretch Method.- A Novel Approach for Semantic Microservices Description and Discovery towards Smarter Applications.

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Book SynopsisThe proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2021), held at Department of Computer Science and Engineering, Vasvi College of Engineering, Hyderabad, Telangana, India, during 17 – 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.Table of ContentsAn Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms.- Development of Different Word Vectors and Testing using Text Classification Algorithms for Telugu.- Online Malayalam Script Assortment And Pre-Processing For Building Recommender Systems.- Design and synthesis of random number generator using LFSR.- A Flexible Accession on Brain Tumour Detection and Classification using VGG16 model.- Advertisement Click Fraud Detection Using Machine Learning Algorithms.- Artificial Intelligence for on-site detection of invasive Rugose Spiralling Whitefly in Coconut Plantation.- Analysis of different methodologies for Sentiment in Hindi Language.- A dynamic model and algorithm for real time traffic management.- A Selection-Based Framework for Building and Validating Regression Model for Covid-19 Information Management.- Fingerprint Liveliness Detectionto Mitigate Spoofing Attacks Using Generative Networks in Biometric System.- Pulmonary Nodule Detection using Laplacian of Gaussian and Deep Convolutional Neural Network.

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Book SynopsisThe proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2020), held at Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India, during 17 – 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.Table of ContentsMusic Recommendation Engine Using Emotion Synthesis Through Facial Recognition.- Indian Alphabets and Digits Sign Recognition using Pre-trained Model.- An efficient Information retrieval technique for Document Classification.- A Featurized Learning Approach for Health Monitoring in Hydraulic Systems Using Multivariate Time Series Data.- Lockdown phases and changing clusters of Indian states with respect to number of cases of COVID-19.- Non-invasive Measurement of Blood Sugar using Near-Infrared Spectroscopy.- Contemporary Technique for Detection of Brain Tumor in fluid Attenuated Inversion Recovery MRI Images.- Deep Learning Network for Face Identification across Illumination and Blur.- Use of Thermal Images for Face Mask Detection with Deep CNN.- Cardiovascular Disease Prediction using Machine Learning with Flask API.- An Ensemble CNN model for Identification of Diabetic Retinopathy Eye Disease.- Efficient Email classification Algorithm for Better Customer Support.- Efficient Email classification Algorithm for Better Customer Support.- Machine Learning for Detection of Obstructive Sleep Apnea.- Mammogram Image Fusion Using Sigmoidal Function and Max. Fusion Rule.- Impact of Climate Change and Land Cover on the Run-off Estimation Using SWAT Modelling.- Breast Cancer Prediction using Machine Learning Techniques.- Crime Rate Analysis and Prediction in Delhi using Facebook Prophet.- A generic Blockchain-based Remote Clinical Monitoring Framework through Wearable devices to mitigate the COVID-19 pandemic.- Detecting Face Mask for Prevent Covid 19 Using Deep Learning: A Novel Approach.- Different Feature Selection Methods Performance Analysis for Intrusion Detection.- Framework for Diabetic Retinopathy Classification.- Support Vector MachineClassification of Remote Sensing Images with the Wavelet based Statistical features.

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Book SynopsisThe book includes new research results of scholars from the Second International Conference on Advanced Intelligent Technologies (ICAIT 2021) subtitled Intelligent Technology and Industry organized by IRNet International Academic Communication Center, held during October 15–17, 2021. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, business, etc. The book focuses on theory, design, development, testing, and evaluation of all intelligent technologies applicable/applied to various parts of industry and its infrastructure. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.Table of ContentsUtilization of the Open-Source Arduino Platform to Control Based on Logic Et.- Ontology Implementation of OPC UA and Automation ML: A Review.- Airport Cab Scheduling Model Based on Queuing Theory .- Machine Reading Comprehension Model Based on Multi-head Attention Mechanism.- Design of Military Physical Fitness Evaluation System based on Big Data Clustering Algorithm.- ResNet-Based Multiscale U-Net for Human Parsing.- Short-Term Electricity Price Forecast Based on SSA-SVM Model.- Research on Mobile Advertising Click-through Rate Estimation Based on Neural Network.- Research on Macroeconomic Prediction Technology Based on Wavelet Neural Network.- Design Research on Financial Risk Control Model Based on CNN.

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Book SynopsisThis book comprises the proceedings of the 2nd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2021). This book highlights the high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers included in this volume are peer-reviewed by experts in the related areas. The book will serve as a valuable reference resource for academics and researchers across the globe. Table of ContentsAn effective DNLP optimization method for Economic Load Dispatch Problem.- Multi-Perspective Reasoning Using Adaptive Learning.- Ink Recognition using TDNN and Bi-LSTM.- Sarcasm Detection for Sentiment Analysis : A RNN based approach using Machine Learning.- Statistical analysis of Soil properties using Non-Imaging Spectral data for quantitative analysis of Raver Tehsil.- Building an efficient Heart Disease Prediction system by using clustering techniques.

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Book SynopsisThis book demonstrates the concept of ecological system of the smart ports. The innovation is emphasized as the essence of the ecological system as well as the prerequisite and foundation of sustainable development of smart ports. The main supporting technologies of smart ports, including cyber-physical system, middle-office system, blockchain, artificial intelligence, machine vision, AR/VR, system simulation and emulation, digital monitoring and diagnosis, etc., are introduced with concepts and development descriptions as well as practical application cases. It could be used as demonstration and reference for the administrative staff, engineers and technicians as well as researchers in construction and operation of smart ports.Table of ContentsChapter 1 General Introduction 1.1 General Introduction to Smart Port 1.2 Smart Port and Revolution of New Technologies 1.3 Development History of Smart Port 1.4 Current Construction of Smart Port Chapter 2 Ecology of Smart Port 2.1 Ecological Environment of Smart Port 2.2 Ecological Features of Smart Port Chapter 3 Smart Port and Cyber-Physical System 3.1 General Introduction to Cyber-Physical System 3.2 Development of Cyber-Physical System 3.3 Applications of Cyber-Physical System in Smart Port Chapter 4 Smart Port and Middle-Office System 4.1 General Introduction to Middle Office 4.2 Development of Middle Office 4.3 Applications of Digital Middle Office in Smart Port Chapter 5 Smart Port and Blockchain Technology 5.1 General Introduction to Blockchain 5.2 Development of Blockchain 5.3 Typical Applications of Blockchain Chapter 6 Smart Port and Artificial Intelligence 6.1 General Introduction of AI 6.2 Development of AI 6.3 Applications of AI in Smart Port Chapter 7 Smart Port and Machine Vision 7.1 General Introduction to Machine Vision 7.2 Development of Machine Vision 7.3 Applications of Machine Vision Technology in Smart Port Chapter 8 Smart Port and Virtual Reality/Augmented Reality Technology 8.1 Introduction to Virtual Reality/Augmented Reality 8.2 Development of AR/VR Technology 8.3 Applications of VR/AR Technology in Smart Port Chapter 9 Smart Port and System Simulation/Emulation 9.1 Concept of System Simulation 9.2 Development of System Simulation 9.3 Applications of System Simulation in Smart Port 9.4 Applications of Emulation in Smart Port Chapter 10 Smart Port and Digital Monitoring & Diagnosis 10.1 Overview of Digital Monitoring and Diagnosis 10.2 Development of Digital Monitoring and Diagnosis 10.3 Applications of Digital Monitoring and Diagnosis in Smart Port Chapter 11 Development Trend and Target of Smart Port 11.1 Development Trend of Main Hot Technologies 11.2 Development Trend of Smart Port 11.3 Development Target of Smart Port

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Book SynopsisThis book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.Table of ContentsHarvesting robots for smart agriculture.- Drone-based weed detection architectures using deep learning algorithms and real-time analytics.- A deep learning-based detection system of multi-class crops and orchards using a UAV.- Real-life agricultural data retrieval for large scale annotation flow optimization.- Design and analysis of IoT-based modern agriculture monitoring system for real time data collection.- Estimation of wheat yield based on precipitation and evapotranspiration using soft computing methods.- Coconut maturity recognition using convolutional neural network.- Agri food products quality assessment methods.- Medicinal plant recognition from leaf images using deep learning.- ESMO based plant leaf disease identification: A machine learning approach.- Deep learning-based cuali flower disease classification.- An Intelligent System for Crop Disease Identification and Dispersion Forecasting in SriLanka.- Apple leaves diseases detection using deep convolutional neural networks and transfer learning.- A deep learning paradigm for detection and segmentation of plant leaves diseases.- Early-stage prediction of plant leaf diseases using deep learning models.

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Book SynopsisThis book gathers outstanding research papers presented at the 2nd International Conference on Frontiers in Computing and Systems (COMSYS 2021), organized by Department of Electronics and Communication Engineering and Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India held during September 29–October 1, 2021. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.Table of ContentsExperimental Face Recognition System using Deep Learning Approaches.- MultiNet: A Diffusion based Approach to Assign Directionality in Protein Interactions using a Consensus of Eight Protein Interaction Datasets.- An Irrigation Support System Using Regressor Assembly.- Does Random Hopping Ensure More Pandal Visits than Planned Pandal Hopping?.- Consensus-based Identification and Comparative Analysis of Structural Variants and their Influence on 3D Genome Structure using Long- and Short-read Sequencing Technologies in Polish Families.- On the Performance of Convolutional Neural Networks with Resizing and Padding.- Analysis of Vegetation Health of the Sundarbans Region using Remote Sensing Methods.- You Reap What You Sow - Revisiting Intra-class Variations and Seed Selection in Temporal Ensembling for Image Classification.- Light U-Net: Network Architecture for Outdoor Scene Semantic Segmentation.- Framework of Intelligent Transportation System: A Survey.

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Book SynopsisThe book presents latest multi-agent technologies in human-centered computing (HCC) to provide a new research direction to enrich the human socio computations. Nowadays, the research in the field of multi-agent system (MAS) has gained a wide spread recognition due to its interdisciplinary nature and a vast versatile application domain including engineering, social science, economics, mathematics, operational research, etc. It has been proved that agents in MAS are the most appropriate technological paradigm for providing the most optimal solution for different kinds of complex real world problems that may be industrial or it might be specifically related to social problems. Keeping these features in mind, we planned to tune the research of latest multi-agent technologies and tried to compose its effect on HCC corridor. The primary audience of this book are research students of computer science, information technology and it will be also very helpful for software professionals to get developmental ideas to boost their computing activities.Table of ContentsIntroduction to Multi-Agent Systems.- Human-Computer Interactions through Multi-Agent Systems: Design and Implementations.- Social Behavior and Reasoning Through Multi Agent Systems.- Prevalence of Multi Agent System Consensus in Cloud Computing.- The Role of Multi Agent Systems in IoT.- Agent based Human Supportive Applications.- Multi Agent System Applications in Healthcare: A Survey.- Applications of Multi Agent Systems in Intelligent Healthcare.- Multi Agent Reinforcement Learning for Stock Market Strategy Analysis.- Multi-Agent Systems: Future Initiatives.

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Book SynopsisThis book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing, and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2021), organized online. The book offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

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Book SynopsisThis book presents a study of the COVID-19 pandemic using computational social scientific analysis that draws from, and employs, statistics and simulations. Combining approaches in crisis management, risk assessment and mathematical modelling, the work also draws from the philosophy of sacrifice and futurology. It makes an original contribution to the important issue of the stability of society by highlighting two significant factors: the COVID-19 crisis as a catalyst for change and the rise of AI and Big Data in managing society. It also emphasizes the nature and importance of sacrifices and the role of politics in the distribution of sacrifices. The book considers the treatment of AI and Big Data and their use to both “good” and “bad” ends, exposing the inevitability of these tools being used. Relevant to both policymakers and social scientists interested in the influence of AI and Big Data on the structure of society, the book re-evaluates the ways we think of lifestyles, economic systems and the balance of power in tandem with digital transformation.Table of ContentsChapter 1. A Worldview Seen From Sacrifices.- Chapter 2. Crises, Risks and Sacrifices.- Chapter 3. A Crisis of COVID-19 and its Sacrifices.- Chapter 4. Formalizing Models on COVID-19 Pandemic.- Chapter 5. For Balancing Health Care and Economics.- Chapter 6. Five Virtues to be Digitized Norms.- Chapter 7. Synchronizing Everything to the Digitized World.- Chapter 8. A Living Way in the Digitized World.- Chapter 9. A New World in Motion.- Chapter 10. Digitized Shifts of Regime and Hegemony.- Chapter 11. On Balance of Power.- Chapter 12. For Strategies in The Age of After Corona.- Chapter 13. Conclusion.

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Book SynopsisThis book is a collection of best selected research papers presented at the International Conference on Communication and Artificial Intelligence (ICCAI 2021), held in the Department of Electronics & Communication Engineering, GLA University, Mathura, India, during 19–20 November 2021. The primary focus of the book is on the research information related to artificial intelligence, networks, and smart systems applied in the areas of industries, government sectors, and educational institutions worldwide. Diverse themes with a central idea of sustainable networking solutions are discussed in the book. The book presents innovative work by leading academics, researchers, and experts from industry.

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Book SynopsisThis book presents selected papers from the 17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 14th International Conference on Frontiers of Information Technology, Applications and Tools, held on 29–31 October 2021 in Kaohsiung, Taiwan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.Table of ContentsChapter 1. Speech Manipulation Detection Method Using Speech Fingerprints and Timestamp Data.- Chapter 2. A PHR sharing model based on Tangle and PRE.- Chapter 3. A Novel Motor Task Classification Scheme in Magnetoencephalography based on CNN.- Chapter 4. Cooperative Search of UAV Formation Guided by Probability Graph.- Chapter 5. Design of encryption system based on state machine optimization scheme and FPGA implementation.- Chapter 6. Unscented Kalman Filter for UAV Real-time Localizating Dynamic Target on the Ground.- Chapter 7. A Novel Fish Migration Optimization with QUasi-A ne TRansformation Evolutionary for Numerical Optimization and Application.- Chapter 8. Face Virtual Sample Generation with 3D Model Based on Generative Adversarial Networks.- Chapter 9. Deep Learning-based Helmet Wearing Detection for Safety Surveillance.- Chapter 10. Pattern Matching Method for Q&A Information Retrieval System.- Chapter 11. Research on Evaluation Method of Network Vulnera-bility in Power Monitoring System.- Chapter 12. The Clustering Algorithm Based on Improved Antlion Optimization Algorithm with K-means Concepts.- Chapter 13. Reversible data hiding based on multiple strategies.- Chapter 14. A Fully Restored Quantum Progressive Visual Secret Sharing Scheme.- Chapter 15. Construction of Interface Evaluation System in Internet-connected Vehicle Oriented to Automation Trust Calibration. etc.

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Book SynopsisThe book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2022 organized by IIS (Deemed to be University), Jaipur, Rajasthan, India, during January 7–8, 2022. The volume is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.Table of ContentsA Novel Approach for Detecting Online Malware Detection Using Performance Metrics Using LSTMRNN and BRNN Based Recurrent Neural Network in Cloud Environment.- Analytical Study of Augmented Reality Simulation System Application on Paintings.- A New Model SATV for Sentiment Analysis of Hinglish Sentences.- Characterization of Molecular Dynamic Trajectory using K-means clustering.- Data Warehouse Modernization using Document-Oriented ETL Framework for Real Time Analytics.- Opinion Mining for Breast Cancer Disease Using Apriori and K-Modes Clustering Algorithm.- Deep learning approach based on ADASYN for detection of Web attacks in the CICIDS2017 dataset.- FUNDUS and OCT Image Classification using Deep Learning Techniques.- A Secure Framework for the Deployment of Microservices using Cloud Container Technology.- Time Series Analytics – A fuel to Data Science in forecasting Analytics for time stamped data.- Sparse Autoencoder and Deep learning based Framework for Multi-label Classification of Chronic Diseases.- A Comparative study of different machine learning based feature extraction techniques in bacterial image classification.- Cloud removal and satellite image reconstruction using Deep Learning based Image inpainting approaches.- A Novel Cipher Technique using Substitution and Transposition Methods.- Edge Computing: State of Art with Current challenges and future opportunities.- Deep Learning and Machine Learning Approaches for the Classification of Personality Traits: Review.- Two Level Priority Task Scheduling Algorithm For Real Time IoT Based Storage Condition Assessment System.- Intrusion Detection of Internet of Things Botnet Attacks using Data Mining Technique.- Code Tamper-proofing using Return Oriented Programming in IoT Devices.- Conversion of Punjabi Sign Language using Animation.- Deep Learning based Classification of Microscopic Fungal Images.- Application of Artificial Neural Network and Multiple Linear Regression in Predicting Consumer Attitude towards Use of Mobile Wallet.- Securing Unauthorized Access to Cloud Data Storage.- A Survey on Water Usage Optimization using Artificial Intelligence in Agricultural Sector.- The Role of Artificial Neural Network in Word Sense Disambiguation (WSD) - A Survey.- Covid-19 Challenges for digital education and critical analysis.- Cloud Computing: Concepts and Techniques with Service Provider Analysis.- Analyzing Frequency Rhythms in Posed and Spontaneous Emotions Using Time- Intensity of EEG Signals.- Improving Classification Performance Using The Semi-Pivoted QR approximation algorithm.- Comparative Study on Video Based Face Recognition Methods.- An Innovative Framework based Algorithmic Approach for Object Detection.- Smart Bus Concept of COVID-19 Prevention using Face-Bio Keys.- Data Integration Solutions - A Key to the Cloud Migration.- A Proposed Structure, primarily based totally on Cloud Computing for Enhancing Electronic Commerce Applications.- Deep Learning and Internet of Things (IoT) Based Irrigation System for Cultivation of Paddy Crop.- Review of Machine Learning Techniques for Analysis of Medical Data Sets.- Incorporating contextual information in prediction based word embedding models.- Distributed Cloud Data Center for Efficient Services in Logistics Management.- Plants Disease Detection using Image Processing using Tensor flow: A boon to agriculture.- Data Visualisation using Self-Organising Maps.- SQL Injection Attacks, Detection Techniques on Web Application Databases.- Deep Learning Based Brain Tumor Segmentation: Recent Updates.- Mobile Application for Smart Agriculture in India: "An Analytical Approach".- Offline handwritten character recognition of Gujarati characters using convolutional neural network.- Forecasting Solar Energy on Time Frame: A Review.- Framework for Faster Index Search.- Image Classification by Optimized Convolution Neural Networks.- Benefits of Mining Fashion Data.- Current state of Engineering Education in India: Student Teacher scenario in online mode.- Estimating Blockchain using Time-series forecasting ARIMA.- Analyzing Online Reviews of Customers using Machine Learning Techniques.- Assessing between-group differences in implementation of Lean Six Sigma management conception.- Boosting Blockchain Mechanism using Cryptographic Algorithm in WSN.- Virtual Try-On using Augmented Reality.- Fractures Classification and Detection Using DIP And ML.- Sentiment Analysis in Social Media Website.- Artificial Intelligence based Techniques for Underwater Image Restoration and Enhancement.-A rapid computing technology on profound computing era with quantum computing.- Covid-19: Comparison of Time series forecasting models and Hybrid ARIMA- ANN.- YOLOV5 and Morphological Hat Transform Based Traffic Sign Recognition.- Optimizer Based Performance Study of Block Wise Fine-Tuning AlexNet.- Comparative study on Image Feature Extraction Techniques.- Cyber Security Threat and it's Global Perspective.- Detecting Cheating in Online Assessments using Face Recognition and Head Pose Estimation.- Opinion System of Real-Time Emotions from Human Interaction incoporated in Class using Deep Learning.- A Study on Automatic Detection of Alzheimer’s disease using Multimodalities.- IoT enabled smart tourism (IoTeST): tourism service dimension.- An Innovative Approach towards Designing Efficient K-Nearest Neighbour Algorithm.- Latest trends in Multi-Modality Medical Image Fusion: A Generic Review.- Comparison Study of Classification Techniques for Predicting Performance of Students using Weka Environment.- Multimodal Autism Detection in Children through Facial and Speech Emotion.- A Contemporary Learning on Smart Devices for Smart Metropolis.- Malpractice Detection in Online Assessment using Eye Gaze Tracking and Object Detection.- Big Data f5 Load Balancer with ChatBots Framework.- Keylogger awareness and use in Cyber Forensics.

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Book Synopsis“Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South.Table of ContentsIntroduction.- Technology Talks: The Evolution and Rhetoric of Smartcities.- Projects for Smart Cities: Ecosystems, Connected Intelligence and Innovation Driving the Radical Transformation of Cities.- The Histories of New (Geo)politics of Smart Villages Communities in a Global World: A Contribution to Geographical Debate.- Identifying, Mapping and Measuring Europe’s Smart Cities and Digital Divides: Hyperlink Variations in Primary, Secondary and Tertiary Cities.- Role of Smart Dustbin in Creating a Smart Environment.- Smart Technologies and Aging Society.- Conceptual Model of Mixed-methods Civic Engagement Infrastructure Using Cloud-based Computing Combined with On-site Engagement and Action Projects.- Digital Placemaking: An Analysis of Citizen Participation in Smart Cities.- Historian for a Day: A Use Case of Augmented Reality in Civic Engagement.

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Book SynopsisThis book presents best selected research papers presented at the Third International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2021), organized by Arya College of Engineering and IT, Jaipur, on 22-23 October 2021. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.Table of ContentsChapter 1. Deep Learning-Based Adaptive Deep Belief Neural Networks For Neonatal Apnea Level Classification Using Pre-Term Birth Health Record.- Chapter 2. Hybrid Feature Extraction Technique for Tamil Automatic Speech Recognition System in Noisy Environment.- Chapter 3. Implementation and Image Transformation for Ground Penetration Image Radar System.- Chapter 4. Effect of Geospatial Weather Features on COVID-19 Spread in India using Machine Learning.- Chapter 5. Adiabatic Logic Code Converters Design at Different Sub Micron Technologies.- Chapter 6. A Cross connected Switch Capacitor Multi Level Inverter: A Proposed Topology and its Analysis.- Chapter 7. A Comparative study on Sentiment Analysis of Uber and Ola Customer Reviews based on Machine Learning Approaches.- Chapter 8. A Cost-Effective IoT Assisted Framework For Automatic Irrigation.- Chapter 9. Constrained Optimization based Routing for Multipath and Multihop Propagation in WSN.- Chapter 10. Performance comparison of fuzzy logic and evolutionary algorithm optimized controller for a multi-area power system.- Chapter 11. Leveraging CNNs for real-time pothole detection.- Chapter 12. IoT Devices for Detecting and Machine Learning for Predicting COVID-19 Outbreak.- Chapter 13. Text Detection from Scene and Born Images: How Good is Tesseract?.- Chapter 14. Load Frequency Control Of Hybrid Power System Integrated With Solar-Thermal And Geothermal System.- Chapter 15. An Improved Stock Market Index Prediction System based on LSTM.

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Book SynopsisThis book collects chapters which discuss interdisciplinary solutions to complex problems by using different approaches in order to save money, time and resources. The book presents the results on the recent advancements in artificial intelligence, computational intelligence, decision-making problems, emerging problems and practical achievements in the broad knowledge management field. q-ROFS is one of the hot topics for all the researchers, industrialists as well as academicians. This book is of interest to professionals and researchers working in the field of decision making and computational intelligence, as well as postgraduate and undergraduate students studying applications of fuzzy sets. The book helps solve different kinds of the decision-making problems such as medical diagnosis, pattern recognition, construction problems and technology selection under the uncertain fuzzy environment. Containing 19 chapters, the book begins by giving a topology of the q-ROFSs and their applications. It then progresses in a logical fashion, dedicating a chapter to each approach, including the generalized information measures for q-ROFSs, implementation of q-ROFSs to medical diagnosis, inventory model, multi-attribute decision-making and approaches to real-life industrial problems such as green campus transportation, social responsibility evaluation pattern and extensions of the q-ROFSs.Table of Contentsq-rung orthopair fuzzy Supra Topological application in Data mining process.- q-Rung Orthopair Fuzzy Soft Topology with Multi-Attribute Decision-Making.- Decision-Making on Patients’ medical based on a q-Rung Orthopair Fuzzy Max-Min-Max Composite Relation.- Soergel Distance Measures for q-Rung Orthopair Fuzzy Sets and Their Applications.- TOPSIS Techniques on q-Rung Orthopair Fuzzy Sets and Its Extensions.- Knowledge Measure-based q-Rung Orthopair Fuzzy Inventory Model.- Higher Type q-rung Orthopair Fuzzy Sets: Interval Analysis.- Evidence-Based Cloud Vendor Assessment with Generalized Orthopair Fuzzy Information and Partial Weight Data.- Supplier Selection Process Based on CODAS Method using q-Rung Orthopair Fuzzy Information.- Group Decision-Making Framework with Generalized Orthopair Fuzzy 2-Tuple Linguistic Information.- 3PL Service Provider Selection with Q Rung Orthopair Fuzzy Based CODAS Method.- An Integrated Proximity Indexed Value and Q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation.- Platform-Based Corporate Social Responsibility Evaluation with Three-Way Group Decisions Under Q-Rung Orthopair Fuzzy Environment.- MARCOS Technique by Using q-Rung Orthopair Fuzzy Sets for Evaluating the Performance of Insurance Companies in Terms of Healthcare Services.- Interval Complex q-rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle.- A Novel Fermatean Fuzzy Analytic Hierarchy Process Proposition and Its Usage for Supplier Selection Problem in Industry 4.0 Transition.- Pentagonal q-Rung Orthopair Numbers and Their Applications.- q-Rung Orthopair Fuzzy Soft Sets Based Multi-Criteria Decision-Making.- Development of Heronian Mean Based Aggregation Operators Under Interval-Valued Dual Hesitant q-Rung Orthopair Fuzzy Environments for Multicriteria Decision-Making.

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Book SynopsisBlockchain is an emerging technology platform for developing decentralized applications and data storage, over and beyond its role as the technology underlying the cryptocurrencies. The basic tenet of this platform is that it allows one to create a distributed and replicated ledger of events, transactions, and data generated through various IT processes with strong cryptographic guarantees of tamper resistance, immutability, and verifiability. Public blockchain platforms allow us to guarantee these properties with overwhelming probabilities even when untrusted users are participants of distributed applications with the ability to transact on the platform. Even though, blockchain technology has become popularly known because of its use in the implementation of cryptocurrencies such as BitCoin, Ethereum, etc.; the technology itself holds much more promise in various areas such as time stamping, logging of critical events in a system, recording of transactions, trustworthy e-governance, etc. It introduces theoretical and practical aspects of blockchain technology. The book includes an in-depth insight into the need for decentralization, smart contracts, consensus both permissioned and permissionless, and various blockchain development frameworks, tools, and platforms. It can be used as a learning resource for various examinations and certifications related to cryptocurrency and blockchain technology. This book explained the nuts and bolts of blockchain technology in lucid language to make students more familiar with the implementation perspective of this much-needed technology.Table of ContentsIntroduction to Blockchain Technology.- Blockchain Revolution from 1.0 to 5.0: Technological Perspective.- Decentralization and Architecture of Blockchain Technology.- Basics of Cryptographic Primitives for Blockchain Development.- Smart Contracts for Building Decentralized Applications.- Distributed Consensus for Permissionless Environment.- Mining Procedure in Distributed Consensus.- Distributed Consensus for Permissioned Environment.- Consensus Scalability in Blockchain Network.- Building Trust in Blockchain Network using Collective Signing.- Adoption of Blockchain in Enterprise Computing.- Blockchain for Supply Chain Management.- Blockchain for Government Services.- Impact of Blockchain on Academic Publishing.

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Book SynopsisBlockchain is an emerging technology platform for developing decentralized applications and data storage, over and beyond its role as the technology underlying the cryptocurrencies. The basic tenet of this platform is that it allows one to create a distributed and replicated ledger of events, transactions, and data generated through various IT processes with strong cryptographic guarantees of tamper resistance, immutability, and verifiability. Public blockchain platforms allow us to guarantee these properties with overwhelming probabilities even when untrusted users are participants of distributed applications with the ability to transact on the platform. Even though, blockchain technology has become popularly known because of its use in the implementation of cryptocurrencies such as BitCoin, Ethereum, etc.; the technology itself holds much more promise in various areas such as time stamping, logging of critical events in a system, recording of transactions, trustworthy e-governance, etc. It introduces theoretical and practical aspects of blockchain technology. The book includes an in-depth insight into the need for decentralization, smart contracts, consensus both permissioned and permissionless, and various blockchain development frameworks, tools, and platforms. It can be used as a learning resource for various examinations and certifications related to cryptocurrency and blockchain technology. This book explained the nuts and bolts of blockchain technology in lucid language to make students more familiar with the implementation perspective of this much-needed technology.Table of ContentsIntroduction to Blockchain Technology.- Blockchain Revolution from 1.0 to 5.0: Technological Perspective.- Decentralization and Architecture of Blockchain Technology.- Basics of Cryptographic Primitives for Blockchain Development.- Smart Contracts for Building Decentralized Applications.- Distributed Consensus for Permissionless Environment.- Mining Procedure in Distributed Consensus.- Distributed Consensus for Permissioned Environment.- Consensus Scalability in Blockchain Network.- Building Trust in Blockchain Network using Collective Signing.- Adoption of Blockchain in Enterprise Computing.- Blockchain for Supply Chain Management.- Blockchain for Government Services.- Impact of Blockchain on Academic Publishing.

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Book SynopsisThis book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 26–27 November 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.Table of ContentsEnhancement of Image Forgery and Improvement of Image Parameters Using DWT Algorithm.- Derivation of DUS-Defined Physiological and Color Features of Okra Fruit Using Machine Vision Technology.- Application-Oriented Content Quality Analysis of Data Using Python.- An Improved Similarity Measure Based on Collaborative Filtering for Sparsity Problem in Recommender Systems.- Detection and Classification of Bird Pest Using Spectrogram, Physical Imagery, and Convolutional Neural Network.- Scatter Index: An Alternative Measure of Dispersion Based on Relative Frequency of Occurrence of Observations

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Book SynopsisThis book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.Table of ContentsDemand based Land Suitability Prediction Model for Sustainable Agriculture.- Power Generation Forecasting of Wind Farms using Machine Learning Algorithms.- Music Recommendation System Based on Emotion Detection.- Service Analytics on ITSM Processes using Time Series.- Comparative Analysis of Color-based Segmentation Methods Used for Smartphone Camera Captured Fingerphotos.- Prediction of Heart Disease through KNN, Random Forest and Decision Tree Classifier using K-Fold Cross Validation.- Distance Matrix Generation for Dynamic Vehicle Routing Optimization in Transport Fleets Management.- Enhancing Weighted Support Vector Machine for Noise Classification.- Optimized Hysteresis Region Authenticated Handover for 5G HetNets.- Performance Improvement of CTNR Protocol in Wireless Sensor Network Using Machine Learning.

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Book SynopsisThis book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.Table of ContentsAutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones.- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis.- Feature Extraction and Machine Learning for the Classification of Fashion Materials.- Cardamom Quality Evaluation Employing Electronic Nose.- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays.- Analytical Study on Feature Selection for Big Data using Optimization Algorithms.- A Machine Learning Approach for Predicting the Death Time and Mortality.- Prediction of Crops Production Using Random Forest Regression.- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance.- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.

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Book SynopsisThis book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used. This book mainly focuses on three data models: the multi-sourced isomorphic data, the multi-sourced heterogeneous data, and the text data. On the basis of three data models, this book studies the knowledge discovery problems including truth discovery and fact discovery on multi-sourced data from four important properties: relevance, inconsistency, sparseness, and heterogeneity, which is useful for specialists as well as graduate students. Data, even describing the same object or event, can come from a variety of sources such as crowd workers and social media users. However, noisy pieces of data or information are unavoidable. Facing the daunting scale of data, it is unrealistic to expect humans to “label” or tell which data source is more reliable. Hence, it is crucial to identify trustworthy information from multiple noisy information sources, referring to the task of knowledge discovery. At present, the knowledge discovery research for multi-sourced data mainly faces two challenges. On the structural level, it is essential to consider the different characteristics of data composition and application scenarios and define the knowledge discovery problem on different occasions. On the algorithm level, the knowledge discovery task needs to consider different levels of information conflicts and design efficient algorithms to mine more valuable information using multiple clues. Existing knowledge discovery methods have defects on both the structural level and the algorithm level, making the knowledge discovery problem far from totally solved.Table of ContentsChapter 1 Introduction 1.1 Knowledge Discovery 1.2 Main Challenges 1.3 Book Overview Chapter 2 Functional-dependency-based truth discovery for isomorphic data 2.1 Handling independent constraints 2.2 Handling inter-related constraints 2.3 Inter-source data aggregation 2.4 Update source weights Chapter 3 Denial-constraint-based truth discovery for isomorphic data Describe the truth discovery strategies for isomorphic data based on denial constraints 4.1 Denial constraint transformation 4.2 Optimized solution 4.3 Scalable strategies Chapter 4 Pattern discovery for heterogeneous data 4.1 Problem definition for multi-source heterogeneous data 4.2 Optimization framework 4.3 PatternFinder algorithm 4.4 The optimized grouping strategy Chapter 5 Deep fact discovery for text data 5.1 Fact extraction via mining patterns 5.2 The CNN-LSTM architecture 5.3 The fact encoder and pattern embedding 5.4 Training and inference

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Book SynopsisThis volume presents peer-reviewed papers of the First International Conference on Microelectronics, Communication Systems, Machine Learning, and the Internet of Things (MCMI-2020). This book discusses recent trends in technology and advancement in microelectronics, nano-electronics, VLSI design, IC technologies, wireless communications, optical communications, SoC, advanced instrumentations, signal processing, internet of things, machine learning, image processing, green energy, hybrid vehicles, weather forecasting, cloud computing, renewable energy, CMOS sensors, actuators, RFID, transducers, real-time embedded system, sensor network and applications, EDA design tools and techniques, fuzzy logic & artificial intelligence, high-performance computer architecture, AI-based robotics & applications, brain-computer interface, deep learning, advanced operating systems, supply chain development & monitoring, physical systems design, ICT applications, e-farming, information security, etc. It includes original papers based on theoretical, practical, experimental, simulations, development, application, measurement, and testing. The applications and solutions discussed in the book will serve as good reference material for young scholars, researchers, and academics.Table of ContentsDesign, implementation and study of an IoT based battery life cycle tester and SoC indicator.- Design and Integration of Collaborative Features along with an Efficient GUI to the Industrial ROBOT.- Design of a CMOS Filter for basenoise Removal of ECG signal.- Performance study of 81-level inverter using two stage switch ladder circuit.- Design of Error tolerant and Low power Approximate full Adder.- Degradation of optical communication system performance due to SPM.- Real time measurement and analysis of power quality issues in distribution system.

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Book SynopsisThis open access book introduces key concepts in robotics in an easy to understand language using an engaging project-based approach. It covers contemporary topics in robotics, providing an accessible entry point to fundamentals in all the major domains. A section is dedicated to introducing programming concepts using Python, which has become a language of choice in robotics and AI. The book also introduces the reader to the Robot Operating System (ROS), the ubiquitous software and algorithmic framework used by researchers and the industry. The book provides an inspired, up-to-date and multidisciplinary introduction to robotics in its many forms, including emerging topics related to robotics on Machine Learning, ethics, Human-Robot Interaction, and Design Thinking. The book also includes interviews with industry experts, providing an additional layer of insight into the world of robotics. The book is made open access through the generous support from Kinova Robotics. The book is suitable as an undergraduate textbook in a relevant engineering course. It is also suitable for students in art and design, high school students, and self-learners who would like to explore foundational concepts in robotics. “This book provides the ‘foundation’ for understanding how robots work. It is the accessible introduction that artists and engineers have been waiting for.” - Ken Goldberg, William S. Floyd Jr. Distinguished Chair in Engineering, UC Berkeley.Table of ContentsPART I: Contextual Design Genealogy of artificial beings: from ancient automata to modern robotics Nicolas Reeves and David St-Onge 1.1 What is a robot? 1.2 A mythical origin 1.3 Early automata 1.4 Anatomical analogies: understanding through replication 1.5 Industrial (r)evolutions 1.6 Modern robotics 1.7 SOCIAL ROBOTICS 1.8 Robotic futures and transrobotics Teaching and learning robotics: A pedagogical perspective Eleni Petraki and Damith Herath 2.1 Learning objective 2.2 Introduction 2.3 Defining the body of knowledge of the robotics field 2.4 Review of research on pedagogies and practices in robotics education 2.5 Assessment practices 2.6 Paving the way for innovative pedagogies and assessment in robotics education 2.7 Chapter summary 2.8 Quiz 2.9 References Design Thinking: from Empathy to Ideation Fanke Peng 3.1 Learning objectives 3.2 Introduction 3.3 Design Thinking Process: Discover, Define, Develop and Deliver 3.4 Conclusion 3.5 Quiz 3.6 References Software building blocks: From Python to Version control Damith Herath, Adam Haskard and Niranjan Shukla 4.1 Learning Objectives 4.2 Introduction 4.3 Python and basics of programming 4.4 Object-Oriented Programming 4.5 Error handling 4.6 Secure Coding 4.7 Case study – Writing your first program in Python 4.8 Version control basics 4.9 Containerising applications 4.10 Chapter summary 4.11 Revision questions 4.12 Further reading 4.13 References The Robot Operating System (ROS1&2): programming paradigms and deployment David St-Onge and Damith Herath 5.1 Learning Objectives 5.2 Introduction 5.3 Why ROS? 5.4 What is ROS? 5.5 Key features from the core 5.6 Additional useful features 5.7 Linux for robotics 5.8 Chapter Summary 5.9 Revision Questions 5.10 Further reading 5.11 References Mathematical building blocks: From geometry to quaternions to Bayesian Rebecca Stower, Bruno Belzile and David St-Onge 6.1 Learning Objectives 6.2 Introduction 6.3 Basic Geometry and Linear Algebra 6.4 Geometric Transformations 6.5 Basic Probability 6.6 Derivatives 6.7 Basic Statistics 6.8 Chapter Summary 6.9 Revision Questions 6.10 Further Reading 6.11 References PART II: Embedded Design What makes robots? Sensors, Actuators and Algorithms Jiefei Wang and Damith Herath 7.1 Learning Objectives 7.2 Introduction 7.3 Sense: Sensing the world with sensors 7.4 Think: Algorithms 7.5 Act: Moving about with actuators 7.6 Computer vision in robotics 7.7 Review questions 7.8 Further reading 7.9 References Mobile robots: Controlling, Navigating and path planning Jiefei Wang and Damith Herath 8.1 Learning Objectives 8.2 Introduction 8.3 Mobile robots 8.4 Controlling robots 8.5 Path planning 8.6 Obstacle avoidance 8.7 Chapter Summary 8.8 Review Questions 8.9 Further Reading 8.10 References Lost in space! Localisation and Mapping Damith Herath 9.1 Learning Objectives 9.2 Introduction 9.3 Robot localisation problem 9.4 The Robot Mapping Problem 9.5 The Simultaneous Localisation and Mapping (SLAM) problem 9.6 The Kalman Filter 9.7 A Case Study: Robot Localisation using the Extended Kalman Filter 9.8 Summary 9.9 Review Questions 9.10 Further Reading 9.11 References How to manipulate? Kinematics, dynamics and architecture of robot arms Bruno Belzile and David St-Onge 10.1 Learning Objectives 10.2 Introduction 10.3 Architectures 10.4 Kinematics of Serial Manipulators 10.5 Kinematics of Parallel Manipulators 10.6 Dynamics 10.7 Chapter Summary 10.8 Revision Questions 10.9 Further Reading 10.10 References Get together! Multi-robot systems: bio-inspired concepts and deployment challenges Vivek Shankar Varadharajan and Giovanni Beltrame 11.1 Objectives of the chapter 11.2 Introduction 11.3 Types of multi-robot systems 11.4 Swarm Programming 11.5 Deployment of real world swarm systems 11.6 Chapter Summary 11.7 Chapter Revision 11.8 Further reading 11.9 References The Embedded design process: CAD/CAM and prototyping Eddi Pianca 12.1 Learning Objectives 12.2 Introduction 12.3 The design process and CAD 12.4 The Design Process vs Design Thinking 12.5 CAD systems 12.6 CAD file types 12.7 CAD parametric modelling - Assembly and part files 12.8 CAD parametric modelling - Drawing Files 12.9 CAD File Transfer 12.10 VR and AR for CAD 12.11 CAM and CNC 12.12 Workshop 12.13 Case study - hexapod robot project 12.14 Revision questions 12.15 References PART II: Interaction Design Social robots: Principles of interaction design and user studies Janie Busby Grant & Damith Herath 13.1 Learning Objectives 13.2 Introduction 13.3 Cobots, Social Robots and Human Robot Interaction 13.4 Why conduct research? 13.5 Deciding on your research variables 13.6 Sampling, reliability & validity 13.7 Ethics 13.8 Chapter Summary 13.9 Revision Questions 13.10 References Safety first: On the safe deployment of robotic systems Bruno Belzile and David St-Onge 14.1 Learning Objectives 14.2 Introduction 14.3 Standards 14.4 Industrial Risk Assessment and Mitigation 14.5 Cobots 14.6 Mobile Robots 14.7 Chapter Summary 14.8 Revision Questions 14.9 Further Reading 14.10 References Managing the world complexity: from linear regression to deep learning Yann Bouteiller 15.1 Objectives of the chapter 15.2 Introduction 15.3 Definitions 15.4 From linear regression to deep learning 15.5 Policy search for robotic control 15.6 Wrapping it up: how to deeply understand the world 15.7 Summary 15.8 Quiz 15.9 Further reading Robot ethics: Ethical design considerations Dylan Cawthorne 16.1 Learning Objectives 16.2 Introduction 16.3 Ethics 16.4 The non-neutrality of technology 16.5 Technological determinism and multiple futures 16.6 Human values in design 16.7 Value sensitive design 16.8 Ethics tools 16.9 Case study: VSD of a Danish healthcare drone 16.10 Responsible research and innovation 16.11 Chapter summary 16.12 Revision questions 16.13 References APPENDIX: Projects Robot Hexapod Build Labs David Hinwood and Damith Herath 17.1 Introduction 17.2 Project One: Defining the Robot System 17.3 Project Two: Modelling the Position Kinematics 17.4 Project Three: Modelling the Velocity Kinematics with Python 17.5 Project Four: Building Communication Protocols 17.6 Some Final Thoughts 17.7 References ROS Mobile Manipulator labs David St-Onge, Corentin Boucher and Bruno Belzile 18.1 Introduction 18.2 Project 1: Discovering ROS and the Dingo 18.3 Project 2: Kalman for differential drive 18.4 Project 3: 3-DoF Kinematics 18.5 Project 4: Let's bring it back together! 18.6 Project 5: Save the day!

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Book SynopsisThis interdisciplinary book incorporates various aspects of environment, ecology, and natural disaster management including cognitive informatics and computing. It fosters research innovation and discovery on basic science and information technology for addressing various environmental problems, while providing the right solutions in environment, ecology, and disaster management. This book is a unique resource for researchers and practitioners of energy informatics in various scientific, technological, engineering, and social fields to disseminate original research on the application of digital technology and information management theory and practice to facilitate the global transition toward sustainable and resilient energy systems. Cognitive informatics is also the need of the hour and deals with cutting-edge and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, computation, software engineering, AI, cybernetics, cognitive science, neuropsychology, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences, which this book also presents.Table of ContentsChapter 1: Perspectives of Environmental Informatics and Systems Analysis Chapter 2: Planning of energy, environmental and ecological management systems Chapter 3: Simulation, optimization and Environmental decision support Chapter 4: Environmental geomatics - GIS, RS and other spatial information technologies Chapter 5: Cloud Computing, Big Data, Machine Learning in Environmental & Disaster Management Chapter 6: Urbanization – Smart City Supported with Environmental and Energy Systems & Technologies Chapter 7: Climate Change, Environmental Monitoring using Emerging Technologies, AI & Robotics Chapter 8: Modeling, Computer Graphics and Big Data in Energy Management Chapter 9: Monitoring and control of Smart Buildings, including Smart Grid interoperability Chapter 10: Basics and Emergence of Environmental and Energy Informatics Chapter 11: Emerging and Intelligent Systems in Environment and Ecology Chapter 12: Building product disclosure and optimization: Effect on Ecological system Chapter 13: AI in waste management: The savage of Environment ​

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Book SynopsisThis book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.Table of Contents1.TEACHING ENGLISH AS A SECOND LANGUAGE: IMPROVING DIGITAL LITERACY SKILLS.- 2. ICT Based Collaborative Learning Approach: Enhancing Students’ Language Skills.- 3.Modified Sierpinski Carpet Fractal Antenna for the Wireless Applications.- 4.COVID 19 Recovery Prediction using Regression based Machine Learning Approaches.- 5.Regression to Forecast: An In-play Outcome Prediction for One-day Cricket Matches.

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Book SynopsisThis edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.Table of ContentsChapter 1. Methods for the recognition of multisource data in intelligent medicine: A review and next generation trends.- Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities.- Chapter 3. Examination of Health Data Performance Depending on the Creative Use of Optimization Methods and Machine Learning Algorithms.- Chapter 4. Effect of computation and cognitive bias in healthcare intelligence and pharmacogenomics.- Chapter 5. Application of Genetic Algorithms in Healthcare: A Review.- Chapter 6. Decision-Making in Healthcare Nano-informatics.- Chapter 7. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security.- Chapter 8. IoMT in healthcare industry – Concepts and Applications.- Chapter 9. The Effect of Heuristic Methods Towards Performance of Health Data Analysis.- Chapter 10. AI for Stress Diagnosis at Home Environment.- Chapter 11. Contemporary Technologies to Combat Pandemics and Epidemics.- Chapter 12. Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities.- Chapter 13. Deep Reinforcement Based Conversational AI Agent in Healthcare System.- Chapter 14. Deep Learning Empowered Fight against COVID-19: A Survey.- Chapter 15. Application of GAN in Guided Imagery Therapy.- Chapter 16. Digital Transformation in Healthcare Industry: A Survey.- Chapter 17. Application of Deep Learning in Mental Disorder: Challenges and Opportunities.

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Book SynopsisThis book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision, 3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.Table of ContentsColor Restoration of RGB-NIR Images in Low-light Environment Using CycleGAN.- A Novel Space Division Rough Set Model for Feature Selection.- Development of Mobile Food Recognition System Based on Deep Convolutional Network.- Image-Based Physics Rendering for 3D Surface Reconstruction: A Survey.- Network Intrusion Detection Based on Apriori-Kmeans Algorithm.- Global Analysis of Discrete S-I-R Models and S-I-S Systems.- Overview of SAR Image Change Detection Based on Segmentation.- Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network.- Full-Focus Imaging Detection of Ship Ultrasonic Phased Array Based on Directivity Function.- Longitudinal Structure Analysis and Segmentation Algorithm of Dongba Document.- Image Recognition Methods Based on Deep Learning.- Insulator Detection Study Based on Improved Faster-RCNN.- Comparative Analysis of Automatic Poetry Generation Systems Based on Different Recurrent Neural Networks.- Grid False Data Intrusion Detection Method Based on Edge Computing and Federated Learning.- Research on the Simulation of Informationized Psychological Sand Table Based on 3D Scene.- Innovative Design of Traditional Arts and Crafts Based on 3D Digital Technology.- Citrus Positioning Method Based On Camera And Lidar Data Fusion.- Research on Graphic Design of Digital Media Art based on Computer Aided Algorithm.- Ore Detection Method Based on YOLOv4.

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Book SynopsisThis book features a collection of high-quality, peer-reviewed papers presented at the Second International Conference on Ubiquitous Intelligent Systems (ICUIS 2022) organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India, during March 10–11, 2022. The book covers topics such as cloud computing, mobile computing and networks, embedded computing frameworks, modeling and analysis of ubiquitous information systems, communication networking models, big data models and applications, ubiquitous information processing systems, next-generation ubiquitous networks and protocols, advanced intelligent systems, Internet of Things, wireless communication and storage networks, intelligent information retrieval techniques, AI-based intelligent information visualization techniques, cognitive informatics, smart automation systems, health care informatics and bioinformatics models, security and privacy of intelligent information systems, and smart distributed information systems.Table of ContentsDevelopment of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology.- A Six-Point Based Approach for Enhanced Broadcasting using Selective Forwarding Mechanism in Mobile Ad Hoc Networks.- Crop Price Prediction using Machine Learning Naive Bayes Algorithms.- The Performance Evaluation of Adaptive energy Conservation Scheme using IoT.- Towards the prominent use of Internet of Things(IoT) in Universities.- Depression Analysis of Real Time Tweets during Covid Pandemic.- Diabetic Retinopathy Detection Using Deep Learning.- Regional Language Translator using Natural Language Processing.- Fabric Defect Detection using Deep Learning Techniques.- Analysis of Research Paper Titles Containing Covid-19 keyword using Various Visualization Techniques.- Survey on Handwritten Characters Recognition in Deep Learning.- A Survey on Wild Creatures Alert System to Protect Agriculture Lands Domestic Creatures and People.- A Study on Surveillance System using Deep Learning Methods.- IRHA: An Intelligent RSSI based Home automation System.- A Review Paper on Machine Learning Techniques & Its Applications in Health Care Sector.- Enhanced Mask-RCNN for Ship Detection and Segmentation.- Data Scientist Job Change Prediction Using Machine Learning Classification Techniques.- Error Correction Scheme with Decimal Matrix Code for SRAM Emulation TCAMs.- Knowledge Discovery in Web usage Patterns using Pageviews and Data Mining Association.- Video Anomaly Detection using Optimization based Deep Learning.- A Fusional Cubic-Sine Map model for Secure Medical Image Transmission.- Innovative Technologies Developed for Autonomous Marine Vehicles by ENDURUNS Project.- Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective.- A Comparative Review on Image Analysis with Machine Learning for Extended Reality (XR) Applications.- SWOT Analysis of Behavioural Recognition through Variable Modalities.- E-Mixup and Siamese Networks for Musical Key Estimation.- Microarray Data Classification using Feature Selection and Regularized Methods with Sampling Methods.- Visual Place Recognition using Region of Interest Ex-traction with Deep Learning based Technique.- Electronic Mobility Aid for Detection of Roadside Tree Trunks and Street-Light Poles.- Real Time Video Image Edge Detection System Using MyRIO.- Research Paper to Design & Develop an Algorithm for Optimization Chatbot.- Analysis of MRI Images to Discover Brain Tumor Detection Using Convolutional Neural Network and VGG-16.- Missing Data Recovery using Tensor Completion-based models for IoT-based Air Quality Monitoring System.- Stock Market Prediction through a Chatbot : A Human-Centered AI Approach.- Air Writing Recognition using Mediapipe and OpenCV.- Blockchain based Email Communication with Sha-256 Algorithm.- Sentimental Analysis on Amazon Reviews using Machine Learning.- Season based Crop Recommendation System using Transfer Learning: A Review.- Speed breaker Identification using Deep Learning Convolutional Neural Network.- Political Communication and Election Result: Facebook Account Analysis Jambi Governor Candidates in the 2020 Regional Election.- Intelligent System for Diagnosis of Pulmonary Tuberculosis using XGBoosting Method.- Web based Voice Assistant for Railways using Deep Learning Approach.- Segmentation and Classification Approach to Improve Breast Cancer Screening.- Analysis of a Software tool Developed to Determine the Activity of Anomalous Processes.- Study of Wave Models of Trajectories and Signals of Loading e ects in Computer Echolocation.- EnneaOntology: A Proposed Enneagram Ontology.- IoT based Signal Patrolling for Precision Vehicle Control.- Land use/cover Novel Dataset Based on Deep Learning: Case study of Fayoum, Egypt.- Exploring The effect of Word Embeddings and Bag-of-Words for Vietnamese Sentiment Analysis.- A Portable System for Automated Measurement of Striped Catfish Length using Computer Vision.- IoT based Automated Monitoring System for the Measurement of Soil Quality.- Pattern Recognition on Railway Points with Machine Learning: A Real Case Study.- Sustainability in Development of Grant Applications.- New Category of Equivalence Classes of Intuitionistic Fuzzy Delta-Algebras with their Applications.- Deep Neural Networks for Stock Market Price Predictions in VUCA Environments.- Building a Traffic flow Management System based on Neural Networks.- The Impact of Ruang Cerita Application on the Neuro Depression and Anxiety of Private University Students.- JobSeek Mobile Application: Helps Reduce Unemployment on the Agribusiness Sectors During New Normal.- Application's Impact on the SepuisLife Company's Insurance Sales Process During the Pandemic.- The Effect of Learning Using Videos on Online Learning of Private University during the Covid-19 Pandemic.- Implementation of Artificial Intelligence and Robotic that Replace Employee in Indonesia.- The Impact of Online Game Brain Addiction on Computers and Cellphones on College Students Who Take Online Classes.

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Book SynopsisThis book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2022). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.

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Book SynopsisThis book features research papers presented at the 5th International Conference on Intelligent Sustainable Systems (ICISS 2022), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 17–18, 2022. The book discusses latest research works that discusses the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry.Table of ContentsChapter 1. Lung Ultrasound Covid-19 Detection using Deep Feature Recursive Neural Network.- Chapter 2. Predicting New York Taxi Trip Duration based on Regression Analysis using ML and Time Series Forecasting using DL.- Chapter 3. Implementation of Classical Error Control Codes for Memory Storage Systems using VERILOG.- Chapter 4. Parkinson’s Disease Detection using Machine Learning.- Chapter 5. Sustainable Consumption: An Approach to Achieve the Sustainable Environment in India.- Chapter 6. The Concept of a Digital Marketing Communication Model for Higher Education Institutions.- Chapter 7. A Lightweight Image Colorization Model based on U-Net Architecture.- Chapter 8. Comparative Analysis of Obesity Level Estimation based on Life-Style using Machine Learning.- Chapter 9. An empirical Study on Millennials' Adoption of Mobile Wallets.- Chapter 10. AIoT Based Smart Mirror.- Chapter 11. AI Assisted College Recommendation System.- Chapter 12. An Agent-based Model to Predict the Emergence of Student Protests in Public Higher Education Institution.- Chapter 13. High Accuracy for Hyperspectral Image Classification using Hybrid Spectral 3-D-2-D CNN.- Chapter 14. Design Smart Curtain Using Light Dependent Resistor.- Chapter 15. Machine Learning Assisted Binary and Multiclass Parkinson's Disease Detection. etc.

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