Artificial intelligence (AI) Books

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Book SynopsisArtificial intelligence (AI) methods have had significant impacts in science and technology in recent years. These methods for generating models from datasets or logic-based algorithms that emulate aspects of human performance can similarly accelerate the fields of nuclear applications, science, and technology toward the IAEA goals of contributing to peace, health, and prosperity. This publication provides a review of the current state of the art, outlines challenges and identifies priorities for future AI activities in the nuclear field and the IAEA's role to support their accomplishment. The uses of AI in the fields of nuclear sciences and applications, nuclear power, nuclear safety and security and safeguards verification, are considered. There is also a dedicated chapter on ethics pertinent to AI in the nuclear field.

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Book SynopsisThis book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.Table of ContentsA Study of the Correlation between Internet Addiction and Aggressive Behavior Among the Namibian University Students An efficient model for outlier detection in time series dataset using clustering approach Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR E-ALIVE: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care An Effective TCP’s Congestion Control Approach for Cross Layer Design in MANET A Study on Applying Agile Methodology to Manufacturing Industry Cloud Applications Baron-Cohen Model based Personality Classification using Ensemble Learning Analysis of Routing Protocols for Large Scale Multihop Multirate MANETs Review on Internet Traffic Sharing using Markov Chain Model in Computer Network Protein Sequence of Dengue Virus Classification and Secondary Structure Prediction using Random Forest Classifier Anomaly detection using Dynamic Sliding Window in Wireless Body Area Networks Scalable Privacy preservation in Big Data with Cloud Service Access Effective Healthcare Services by IoT based Model of Voluntary Doctors Multi Layer Architectures for SQLI Detection and Prevention in Web Application Development Emotional State Recognition with EEG signals using Subject Independent Approach Development of Early Prediction Model for Epileptic Seizures Research Issue in data Anonymization in Electronic Health Service: A survey Prediction of Cervical Cancer based on the life style, habits and diseases using Regression Analysis framework Novel outlier detection by integration of clustering and classification A Study on Benefits of Big Data for Retail Industry Protection of User Information by using Modified Data Copy Technique in Data Mining Performance Analysis of Traffic at Intersection using Direction Based Clustering in VANET Load Balancing using Amazon Cloud Services A Review of Wireless Charging Nodes in Wireless Sensor Networks Leeway of Lean concept to optimize Bigdata in manufacturing industry: An exploratory review NeuroFeedback Guided Learning Style Adaptability Derived from EEG Sensors Monitoring Public Participation in Multi-Lateral Initiatives using Social Media Intelligence An efficient Context-aware Music Recommendation based on Emotion and Time Context Locating and Detecting Nipple for Pornographic Image Identification Implementation of Improved Energy Efficient FIR Filter using Reversible Logic A Study on benefits of Big data for healthcare sector of India Handling Uncertainty in Linguistics using Probability Theory Review of Quality of Service based Techniques in Cloud Computing Skyline Computation for Big Data Available Energy Aware Multipath Routing For Reliable Service Discovery in MANET Human Face Detection Enabled Smart Stick for Visually Impaired People Web Based Service Recommendation System by Considering User Requirements Optimal Energy Conservation for Route Selection to improve in MANET Unsupervised Machine Learning for Clustering the Infected Leaves based on the Leaf-colours Real Time Big Data Analysis Architecture and Application Missing Value Imputation in Medical Records for Remote Healthcare Reliable Data Discovery with Two Ray Ground Way on DSR Routing in MANET Secure vehicular communication using Road side unit (RSU) trust management scheme Recommendation Framework for Diet and Exercise based on Clinical Data: A Systematic Review Predictive Models for Recommanding Restaurent System by users own Preference Security Assessment of SAODV Protocols in Mobile Adhoc Networks Attack Detection and its Analysis in DTN Mobile Ad-hoc network Secure Sum Computation using Homomorphic Encryption Traffic Analysis in Location Base Routing System in MANET Automated Workload management using machine learning A survey on Link Recovery in Wireless Mesh Network using resilience scheme Multi User Detection in Wireless Networks Using Decision Feedback Signal Cancellation ANN Based Predictive State Modelling of Finite State Machines Deep dive exploration of mixed reality in the world of Big Data

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Book SynopsisThis book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.Table of ContentsComputing on Edge Devices in Internet-of-things (IoT).- The Rise of Machine Learning in IoT system.- Least-squares-solver for Shadow Neural Network.- Tensor-solver for Deep Neural Network.- Distributed-solver for Networked Neural Network.- Conclusion.

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Book SynopsisThis book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.Table of ContentsChapter 1_Big Data Analytics and AI for Healthcare.- Chapter 2_Genetics with Big Data and AI.- Chapter 3_AI and Big Data for next-generation sequencing.- Chapter 4_Artificial Intelligence for Computational Biology.- Chapter 5_Artificial intelligence and machine learning in clinical development.- Chapter 6_Big data analytics for personalized medicine.- Chapter 7_Generating and Managing Healthcare data with AI.- Chapter 8_Big Data and Artificial Intelligence for diseases.- Chapter 9_Artificial Intelligence and Big Data for Public Health.- Chapter 10_Biasness in Healthcare Big Data and Computational Algorithms.- Chapter 11_AI and ML in Healthcare: An Ethical perspective.

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Book SynopsisThis book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.Table of ContentsMaximizing Network Lifetime in WSN using Ant Colony Algorithm.- Deep Ensemble Approach for Question Answer System.- Information Sharing Over Social Media Analysis Using Centrality Measure.- Indoor Mobile Robot Navigation using Deep Convolutional Neural Network.- Etaheuristic Enabled Shortest Path Selection for IoT based Wireless Sensor Network.- Generation of Random Binary Sequence using Adaptive Row-Column Approach and Synthetic Colour Image.- A Study of Mobile Adhoc Network and its Performance Optimizaiton Algorithm.- Sentimental Analysis on Twitter Data of Political Domain.- Big Social Media Analytics: Applications and Challenges.- Intelligent Computing Application for Cloud Enhancing Health Care Services.- Corona Virus Detection and Classification using X-Rays and CT Scans with Machine Learning Techniques.- Security Issues and Solutions in E-Health and Telemedicine.- Accident Alert System with False Alarm Switch.- A Deep Learning Approach to Detect Lumpy Skin Disease in Cows.- Algorithmic Trading using Machine Learning and Neural Network.- Analysis on Intrusion Detection System using Machine Learning Techniques.- Content Related Feature Analysis for Fake Online Consumer Review Detection.- Approaches in Assistive Technology: A Survey on Existing Assistive Wearable Technology for The Visually-Impaired.- Filter Bank Multicarrier Systems using Gaussian Pulse based Filter Design for 5G Technologies.- Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data.- Integration of IoT and SDN to Mitigate DDoS with RYU Controller.- A Framework for monitoring Patient’s Vital Signs with Internet-of-Things and Blockchain Technology.- Network Intrusion Detection using Cross Bagging based Stacking Model.- Performance Study of Free Space Optical System under Varied Atmospheric Conditions.- Review on Energy Efficient Routing Protocols in WSN.Comparative Analysis of Traffic and Congestion in Software Defined Networks.- Automatic Vehicle Service Monitoring and Tracking System using IoT and Machine Learning.

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Book SynopsisThis book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2020), organized jointly by Birla Institute of Applied Sciences, Uttarakhand, and Soft Computing Research Society during 26–27 December 2020. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source.Table of ContentsNeural Network Imitation Model of Realization of the Business Analysis Process.- Thermal Modeling of the GaN HEMT device Using Decision Tree Machine Learning Technique.- Low-cost FPGA based onboard computer.- A Survey on Solution of Imbalanced Data Classification Problem using SMOTE and Extreme Learning Machine.- Thermal Imaging Assisted Infection Classification (BoF) for Brinjal Crop.- Preterm Delivery Prediction Using Gradient Boosting Algorithms.

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Book SynopsisThis book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. The book extensively covers recent research in artificial intelligence (AI) that knit 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 ContentsControl of On-Board Electric Vehicle Charger.- NSGA III based Time-Cost-Environmental Impact Trade-Off Optimization model for Construction Projects.- Wideband Microstrip Stepped Two-Way Power Divider for 3G/4G Applications.- Simulated Annealing Based Time-Cost Trade-Off Model For Construction Projects.- AHP and NSGA II based Time-Cost-Quality Trade-Off Optimization model for Construction Projects.- A Wavelet Based Segmentation Technique For Medical Images.

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Book SynopsisThis book presents the peer-reviewed proceedings of the Sixth International Conference on Intelligent Computing and Applications (ICICA 2020), held at Government College of Engineering, Keonjhar, Odisha, India, during December 22–24, 2020. The book includes the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.Table of ContentsClosed Loop Vision Based Ball Balancer.- A Novel Network Learning For Image Compressive Sensing.- COVID – 19 Severıty Predıctıons: An Analysis Usıng Correlatıon Measures.- A Novel Methodology for Comparative Analysis of Power Quality Improvement for a 3 Phase DC/AC Embedded DC/DC Converter.- Performance of Photovoltaic based ZETA Converter Water Pumping Application.- Performance Analysis of Radial Distribution System by Optimal Deployment of DG and DSTATCOM Considering Network Reconfiguration using a SAR Algorithm.

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Book SynopsisThis book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike. Table of ContentsDesign of a Secure Blockchain Based Privacy Preserving Electronic Voting System.- A Nature Inspired Algorithm for Enhancement of Fused MRI and CT Brain Images.- Recent Advances and Future Directions of Assistive Technologies for Alzheimer’s Patients.- Research on Security awareness to protect data through Ontology and Cloud Computing.- Driver Activity Monitoring using MobileNets.- Prediction of Crop Production using Analysis Algorithms.- A Deep Learning Approach for Speedbumpand Pothole Detection using sensordata.- Decision Tree based Crop Yield Prediction using Agro-Climatic parameters.- Regression based Data pre-processing technique for predicting missing values.- An Improved Stacked Sparse Auto-encoder Method for Network Intrusion Detection.

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Book SynopsisThis book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike. Table of ContentsImage Captioning for the Visually Impaired.-IoT-based Water Quality Analysis and Purification System.- Enhancement of Low Light Images Using CNN.- Identical Twin Face Recognition Using Gabor Filter, SVM Classifier and Surf Algorithm.- Modelling and prediction of cardiac dysrhythmia.- Lung Cancer Detection and Prediction using Customized Selective Segmentation Technique with SVM Classifier.- Design and Implementation of Storage Benchmark Kit.- Adaptive calibration for camera and stitching of images.- Data mining techniques in the agricultural sector.- Design Of A Simplified ANNModelFor Real Power Prediction Problem.- Design and implementation of power efficient and fast full adders using hybrid logics.

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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 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.Table of ContentsDetection of Denial of Service Attack using Deep Learning and Genetic Algorithm.- Fake Profile Detection and Stalking Prediction on Facebook.- Moving skills- a contributing factor in developmental delay.- Wind speed forecasting for India using machine learning algorithms.- A Comparative Study of Supervised Learning Techniques for Remote Sensing Image Classification.- Postal Service Shop Floor - Facility Layout Evaluation and Selection using Fuzzy AHP Method.

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Book SynopsisThis book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29–30 January 2021. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.Table of ContentsChapter 1. Mitigating the Latency Induced Delay in IP Telephony through an Enhanced De-Jitter Buffer.- Chapter 2. A Cyber – Safety IoT Enabled Wearable Microstrip Antenna for X – Band applications.- Chapter 3. Keyword Recognition from EEG Signals on Smart Devices a Novel Approach.- Chapter 4. Security Analysis for Sybil Attack in Sensor Network using Compare and Match-Position Verification Method.- Chapter 5. Certain Strategic Study on Machine Learning based Graph Anomaly Detection.- Chapter 6. Machine Learning Perspective in VLSI Computer Aided Design at Different Abstraction Levels.- Chapter 7. A Practical Approach to Measure Data Center Efficiency using Power Usage Effectiveness.- Chapter 8. Advancing e-Government using Internet of Things.- Chapter 9. A New Network Forensic Investigation Process Model.- Chapter 10. MDTA : A New Approach of Supervised Machine Learning for Android Malware Detection And Threat Attribution using Behavioral Reports.- Chapter 11. Investigating the role of user Experience and Design in Recommender Systems: A Pragmatic Review.- Chapter 12. A Review on Intrusion Detection Approaches in Resource Constrained IoT Environment.- Chapter 13. The Future 5G Mobile Network Performance in Webservices with NDN Technology.- Chapter 14. Survey for Electroencephalography EEG signals Classification Approaches.- Chapter 15. Analysis of Road Accidents using Data Mining Paradigm.

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Book SynopsisThis book presents the peer-reviewed proceedings of the 2nd International Conference on Computational and Bioengineering (CBE 2020) jointly organized in virtual mode by the Department of Computer Science and the Department of BioScience & Sericulture, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, Andhra Pradesh, India, during 4–5 December 2020. The book includes the latest research on advanced computational methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image processing, Internet of things, cognitive computing, wireless networks, social networks, big data analytics, machine learning, network security, computer networks and communications, bioinformatics, biocomputing/biometrics, computational biology, biomaterials, bioengineering, and medical and biomedical informatics.Table of ContentsImplementation of Healthcare System using Android Application Storing Health Records in Cloud.- Threshold and Segmentation based X-ray Imaging analysis for Covid-19 Detection.- Feature Based Squids Classification using Fuzzy Logic.- Comparative Analysis on Factors Affecting Accuracy of Seizure detection using EEG Signal Processing.- Predictive Analysis of damage occurred due to Natural Disasters using Whale-Optimization algorithm based Hybrid Computation.- Remote Access for Advanced Mobile Communication Systems.- A Study to assess the knowledge and opinion of Mid- Level Health Providers of Chittoor District regarding m-health.- Machine Learning Techniques for Identifying Diabetes and its Complications based on long non-coding RNAs.- Performance Comparison of semantic web data using virtual and cloud services.- Present and future prospective of Microbial Fibrinolytic Enzyme Production and its Applications.- Molecular docking of Bacterial laccases for the decolourisation of Textile Reactive Azo dyes.- Enhancing the Structure of Cyber Risks in Cloud Environment using Cloud Forensics Technique.- Application of Artificial Intelligence in Public Health Care in India.- An Adaptive Channel Assignment Strategy for Multi-Radio Multi-Channel Wireless Mesh Networks with Mobile Nodes Based on Internet Traffic.- Multi-Standard Schema Based Classification of Geospatial Metadata in Spatial Data Infrastructures using Feature Weight Induced Probabilistic Learning Scheme.- Text Summarization of Multiple Documents using Binary Fruit Fly Optimization Algorithm.

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Book SynopsisThis book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.Table of ContentsChapter 1. CNN parameter adjustment for brain tumor classification.- Chapter 2. Advance Fuzzy Radial Basis Function Neural Network.- Chapter 3. Unbounded Fuzzy Radial Basis Function Neural Network Classifier.- Chapter 4. A study on the adaptability of Deep Learning-based Polar coded NOMA in Ultra-Reliable Low-Latency Communication Scenario.- Chapter 5. Heart Rate Variability based Mental Stress Detection using Deep Learning Approach.- Chapter 6. Product Based Market Analysis using Deep Learning.- Chapter 7. Driver drowsiness detection using Deep-Learning Chapter 8. Emotion detection from social media-based using machine learning techniques: A Survey.- Chapter 9. Deep age estimation using sclera images in multiple environment.- Chapter 10. Data Handling Approach for Machine Learning in Wireless Communication: A Survey.- Chapter 11. Breast cancer detection in mammograms using deep learning.- Chapter 12. Deep learning based Parameterized Framework to investigate the influence of Pedagogical Innovations in Engineering Courses.- Chapter 13. Modern Transfer Learning based preliminary diagnosis of COVID-19 using forced cough recordings with Mel-frequency cepstral coefficients.- Chapter 14. Biomedical Text Summarization: A Graph Based Ranking Approach.- Chapter 15. EEG based Diagnosis of Alzheimer's Disease Using Kolmogorov Complexity.

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Book SynopsisThis book is a collection of high-quality research papers presented at the International Conference on Smart and Intelligent Systems (SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC), Andhra Pradesh, India, during February 25–26, 2021, in virtual mode. It highlights how recent informatics intelligent systems have successfully been used to develop innovative smart techniques and infrastructure in the field of modern engineering and technology. The book will also be of interest to those working in the field of computational intelligence, smart computer network and security analysis, control and automation system, cloud computing, fog computing and IoT, smart grid communication, smart cities, solar cell synthesis and their performance, green technology, and many more. The contents of this book prove useful to researchers and professionals.Table of ContentsOptimal Sizing and Siting of Distributed Generation for Losses Minimization in Distribution System using Fractional Lévy Flight Bat Algorithm.- Performance Analysis of a Standalone Inverter System under Variable Loading Conditions.- Performance Study of a Wind-Battery based Islanding System.- Fabric Defect Detection Using Computer Vision.- Energy Audit and Advancement of Solar Installation in SIT: A Case Study.- Random Fault Positioning Based Voltage Sag Assessment for a Large Power Transmission Network.- Feasibility Analysis of SEPIC Converter as a PV Balancer for Practical Photovoltaic System.- Market Clearing Mechanism by Optimal Scheduling of Electric Power Suppliers.- Anti Camcorder Piracy Display System.- Performance Evaluation of HAWT and VAWT based WECS with Advanced Hill Climb Search MPPT and Fuzzy Logic Controller for Low Wind Speed Regions.

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Book SynopsisThis book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and postgraduate students across the globe.Table of ContentsChapter 1: Design and Analysis of Modified Split Ring Resonator Structured Multiband Antenna for WCDMA and WiMAX Applications.- Chapter 2: A Wearable Finger Exoskeleton For Motor Rehabilitation Using Mobile Application.- Chapter 3: Game theoretical approach for cluster-based routing protocol in Wireless Sensor Networks.- Chapter 4: Advance Digital Signal Processing for Interference Mitigation in Very High Throughput Satellite.- Chapter 5: Low-Power Endoscopic Image Compression Algorithms Using Modified Golomb Codes.- Chapter 6: Image Steganography Using Ridgelet Transform and SVD.- Chapter 7: HWCMA and HW-LS-CMA blind learning method for intelligent antenna system.- Chapter 8: Performance evaluation of prediction algorithm based tracking methods in a recovery of a lost target using Wireless Sensor Network.- Chapter 9: An Efficient Convolutional Neural Network for Acute Pain Recognition using HRV Features.- Chapter 10: Design and development of LSTM–RNN model for the prediction of RR intervals in ECG signals.- Chapter 11: FHSS Signals Classification by Linear Discriminant in a Multi-Signal Environment.- Chapter 12: Non-invasive Thyroid detection using thermal Imaging technique.- Chapter 13: Non Orthogonal Multiple Access Techniques for Next Generation Wireless Networks: A Review.- Chapter 14: Triple band circular patch antenna using complimentary split ring resonators.- Chapter 15: Features Analysis of Electroencephalography (EEG) for Mindfulness Meditation Effect on Cancer Patient toward Stress Level.

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Book SynopsisThis book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5–6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.Table of ContentsOntological Simulation of Quality Test Concepts in Seafood Domain.- Moroccan Stock Market Prediction Using LSTM Model on A Daily Data.- A Fog-Cloud Computing assisted Lung-Cancer Diagnosis System using Deep Learning.- Performance Analysis of Power System Stability of Four Machine System by Using MBPSS and Static Compensator.- Performance Analysis of Sigmoid and Relu Activation Functions in Deep Neural Network.- CNC_Vision: Integrated Tool for Automated Creation of 2D Profiles for CNC Machine

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Book SynopsisThis book comprises the proceedings of the 12th National Technical Symposium on Unmanned System Technology 2020 (NUSYS’20) held on October 27–28, 2020. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.Table of ContentsDesign and Development of Spherical Amphibian Vehicle (SAV).- Modelling Analysis of a Bio-Inspired Triangular Underwater Robot for Aquaculture Biofouling Cleaning.- Modelling Analysis of Spherical Underwater Robot for Aquaculture Biofouling Cleaning.- Acoustic Waves Propagation in Seawater Using Low Profile Multiple Obstacles.- Implementation of Deaf-Blind-Dysgraphia Communication Technique for Disabled Students in Somalia.- Spherical Amphibian Robot Design with Novel Driving Principle.- Performance Analysis of Particle Filter Localization Algorithm for Mobile Robot.- Overview of Underwater Communication Technology.- State of the Art Review on Autonomous Surface Vehicle Maneuvering Assessment.- Design Issues and Challenges of Long-Range Ultrasonic Testing (LRUT) for Pipeline Inspection.

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Book SynopsisThis book features research papers presented at the 4th International Conference on Intelligent Sustainable Systems (ICISS 2021), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 26–27, 2021. The book discusses the latest research works that discuss 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. Deep Learning based Approach for Parkinson’s Disease Detection using Region of Interest.- Chapter 2. Classification of Class Imbalanced Diabetic Retinopathy Images using the Synthetic Data Creation by Generative Models.- Chapter 3. A Novel Leaf-fragment Dataset and ResNet for Small-scale Image Analysis.- Chapter 4. Prediction of Covid 19 Cases based on Weather Parameters.- Chapter 5. CloudML: Privacy-Assured Healthcare Machine Learning Model for Cloud Network.- Chapter 6. Performance Evaluation of Hierarchical Clustering Protocols in WSN using MATLAB.- Chapter 7. Speech Recognition using Artificial Neural Network.- Chapter 8. Multi-Objective Optimization for Dimension Reduction for Large Datasets.- Chapter 9. Modified Leader Algorithm for Under-sampling the Imbalanced Dataset for Classification.- Chapter 10. Weather Divergence of Season Through Regression Analytics.- Chapter 11. A Case Study of Energy Audit in Hospital.- Chapter 12. The Comparison Analysis of Cluster and Non- Cluster Based Routing Protocols for WAPMS (Wireless Air Pollution Monitoring System).- Chapter 13. Frequent Itemset Mining Algorithms–A Literature Survey.- Chapter 14. Impact of Segmentation Techniques for Conditıon Monitorıng of Electrical Equipments from Thermal Images.- Chapter 15. A Detailed Survey Study on Various Issues and Techniques for Security and Privacy of Healthcare Records.

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Book SynopsisThis book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications. Table of ContentsAutomatic Removal of Eye Blink Artefacts from EEG Data using Spatio-Temporal Features.- Autoencoder Based Model for Detecting Accounting Statement Fraud.- Increase In Mental Health Cases Post Covid Outbreak.- A Data Mining Approach to Anticipate Fear of Human's Mind During COVID-19 Outbreaks.- Evolutionary Algorithms for Face Recognition with Mask.- Stock Price Prediction using Reinforcement Learning.- Forecasting of PM10 using Intelligent Crow Search Algorithm tuned Feed Forward Neural Network.- A Hybrid Fusion Based Algorithm for Underwater Image Enhancement using Fog Aware Density Evaluator and Mean Saturation.- Computer Vision with Deep Learning Techniques for Neurodegenerative Diseases Analysis using Neuroimaging: A Survey.- Implementation of A Smart Helmet with Alcohol and Fall Detection and Navigation System.

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Book SynopsisThis book gathers selected papers presented at the 6th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the Anna University, Chennai, India, from 20 to 22 April 2020. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.Table of ContentsChapter 1. Design and Construction of a Dual Axis Solar Tracking System by Astronomical Algorithm.- Chapter 2. Estimation of Magnetic Flux linkage in SRM using various defuzzification techniques.- Chapter 3. Multilevel Inverter based STATCOM for Distribution System.- Chapter 4. Sensitivity Analysis and Design Optimization of Synchronous Reluctance and Permanent Magnet Motors.- Chapter 5. A New Heuristic algorithm for Economic Load Dispatch incorporating wind power.- Chapter 6. Enhanced Grasshopper Optimization Algorithm For Numerical Optimization.- Chapter 7. Eco-Routing – To Reduce Vehicle CO2 Emissions by CACC: An IoT Application.- Chapter 8. Fuzzy Sliding Mode Control of DC-DC Boost Converter with Right-Half Plane Zero.- Chapter 9. Liquid Level Control of Non Linear Process Using Big Bang - Big Crunch Optimization Based Controller.- Chapter 10. Impact of PV Cells and MPPT Controller on Power System Dynamics.- Chapter 11. Wavelet Feature Based Microcalcification Detection in Mammogram.- Chapter 12. Reliable Radiation Hardened Memory Cells for Single-Event Multiple Effects.- Chapter 13. Finger Vein Identification Using Deep Convolutional Generative Adversarial Networks.- Chapter 14. Computer Aided Detection of Malignant Mass in Mammogram using U-Net Architecture.- Chapter 15. Visualization and Evaluation of Methane Gas Leakage by Thermal Image Processing using Supervised Deep Learning Models.

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Book SynopsisThis two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.Table of ContentsSwarm Programming using Multi-Verse Optimizer.- Muzzle Pattern based Cattle Identification Using Generative Adversarial Networks.- Diverse Sports Video Classification Using Large Space MPEG Features.- An Intelligent Method for Plastic Money Fraud Detection using Isolation Forest Classifier.- Mixed Differential Evolution and Genetic Algorithm Hybridization for Solving Global Optimization Problems.- Energy Neutral Classroom.

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Book SynopsisThis two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.Table of ContentsA deep semi-supervised approach for multi-label land-cover classification under scarcity of labelled images.- Role of individual samples in Modified Possibilistic c-Means classifier for handling heterogeneity within mustard crop.- Specially Structured Flow Shop Scheduling Models with processing times as Trapezoidal Fuzzy Numbers to optimize Waiting time of Jobs.- Potential Fishing Zone Characterization in the Indian Ocean by Machine Learning Approach.- A novel method to optimize interval length for intuitionistic fuzzy time series.- Low Altitude Unmanned Aerial Vehicle For Real Time Green House Plant Disease Monitoring Using Convolutional Neural Network.

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Book SynopsisThis book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), presenting scientific work related to smart solution concepts. It discusses scientific works related to smart solutions concept in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of the topics covered, the book appeals to researchers pursuing advanced studies.Table of ContentsArchitecture Level Fault Tolerance Modeling for SOA based Systems.- Intelligent Infrastructure and Transportation: A case of Passenger Transportation system in Jaipur city of Rajasthan.- Translation of American Sign Language to text: Using YOLOv3 with Background Subtraction and Edge Detection.- Economic Analysis of Energy Efficient Transportation in India with Special Reference to the Passenger Movement.- Digital Watermarking Techniques and their Analysis.- Smart City Solution: Enhancing Capacity Utilization of Mass Rapid Transit System (MRTS) for Economic Viability with Special Reference to Jaipur Metro Rail Network

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Book SynopsisThis book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.Table of ContentsChapter 1. Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects.- Chapter 2. Hybrid Intelligent System for Medical Diagnosis in Healthcare.- Chapter 3. Remote Patient Monitoring Using IoT, Cloud Computing and AI.- Chapter 4. An Analytical Study of the Role of M-IoT in Healthcare Domain.- Chapter 5. Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis.- Chapter 6. RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling.- Chapter 7. Hybrid Artificial Intelligence and IoT in Healthcare for cardiovascular patient in decision making system.- Chapter 8. A Smart Assistive System for Visually Impaired to in-form acquaintance using Image Processing (ML) supported by IoT.- Chapter 9. Internet of things in healthcare: A survey.- Chapter 10. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm.- Chapter 11. Integration of Machine Learning and IoT in Healthcare Domain.- Chapter 12. Managing Interstitial Lung Diseases with Computer Aided Visualization.- Chapter 13. Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals.- Chapter 14. Emerging Technologies for Pandemic and its Impact.- Chapter 15. Impact of Artificial Intelligence in Healthcare: A Study.

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Book SynopsisThe book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.Table of Contents

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Book SynopsisThis book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher-order neural computing, rough set and fuzzy set theory, and nature-inspired computing techniques. Table of ContentsDTNMA: Identifying Routing Attacks in Delay-Tolerant Network.- Classification Framework for Fraud Detection Using Hidden Markov Model.- Analysis of the Beaufort Cipher Expansion Technique and Its Usage in Providing Data Security in Cloud.- Virtual Keyboard Using Image Processing & Computer Vision.- Next Step to the Future of Restaurants Through Artificial Intelligence and Facial Recognition.- A Comparative Study into Stock Market Prediction Through Various Sentiment Analysis Algorithms.- Bangla Document Categorization Using Deep RNN Model with Attention Mechanism.- Bangla Handwritten Digit Recognition.- A Comparative Study on Sentiment Analysis Influencing Word Embedding Using SVM and KNN.- COVID-19 Pandemic Diagnosis and Analysis Using Clinical Decision Support Systems.- Predictive Analysis of the Recovery Rate from Corona Virus(Covid-19).- Deep Learning Approaches for Spatio-Temporal Clues Modelling.- The Practical Enactment of Robotics and Artificial Intelligence Technologies in E-COMMERCE.- Comparative Analysis of Brain Tumor Segmentation with Fuzzy C-Means Using Multi-Core CPU and CUDA on GPU.- Multiregional Segmentation of High-Grade Glioma Using Modified Deep UNET Model with Edge-detected Multimodal MRI Images.

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Book SynopsisThis book gathers a collection of high-quality peer-reviewed research papers presented at First International Conference on Innovations in Software Architecture and Computational Systems (ISACS 2021), held at Guru Nanak Institute of Technology, Kolkata, India, during 2 – 3 April 2021. The book primarily focuses on developing artificial intelligence-based algorithms and methodologies for enabling intelligent hardware and software systems. This book brings together the latest findings on efficient technological solutions for developing intelligent and hybrid systems, intelligent software architecture, machine intelligence-based analytical tools and also smart sensors and networks. The prime focus is on solving technological problems using state-of-the-art research finding like fuzzy computing, evolutionary and hybrid frameworks, neuro-computing, etc., along with other AI-based computation platforms. The book offers a valuable resource for all undergraduate, postgraduate students and researchers interested in exploring solution frameworks for social good problems using artificial intelligence. Table of ContentsText to Image Classification using Attn: Gan With Dense Net Architecture.- Cyclone Detection and Forecasting Using Deep Neural Networks through Satellite Data.- An Improved Differential Evolution Scheme for Multilevel Image Thresholding Aided with Fuzzy Entropy.- Clustered Fault Repairing Architecture for 3D ICs using Redundant TSV.- The Implementation of Similarity Measures in Group Decision-Making Problems by Signless Laplacian Energy of an Intuitionistic Fuzzy Graph.- Uniform Grid Formation by Asynchronous Fat Robots.- A LSB Substitution based Steganography Technique using DNA Computing for Color Images.- An Approach of Safe Stock Prediction using Genetic Algorithm.- Suicide Ideation Detection in Online Social Networks: A Comparative Review.- An Improved K-Means Algorithm for Effective Medical Image Segmentation.- Breast Cancer Histopathological Image Classification using Convolutional Neural Networks.- A Framework for Predicting Placement of a Graduate using Machine Learning Techniques.

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Book SynopsisThis book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.Table of ContentsPart I: Image Processing, Computer Vision and Pattern Recognition.- Genetic Dropout: An application to Handwritten Indic Script Classification.- Encryption of Optically Compressed Medical Images using Phase Matrix.- Application of image processing for reconstruction of PATHA art, a cultural heritage of eastern India: An approach using particle swarm optimization technique.- A Transfer learning-based approach for lung inflammation detection.- Caption bot for Assistive Vision.- Tiny Vessels Exploration in Retinal Image using BFS Influenced Flood Filling.- A Reliable and Fast Detection Technique for Lung Cancer Using Digital Image Processing.- Correlation based cluster validity index for recognition of Leukemia mediating biomarkers.- An Approach for Ultrasound Image Enhancement Using Deep Convolutional Neural Network.- Food Calorie Estimation System Using Image ai with Retinanet Feature Extraction.- Sketch-based Image Retrieval using Convolutional Neural Networks based on Feature Adaptation and Relevance Feedback.- Dual image-based data hiding scheme using Quorum Function.- Part II: Intelligent information systems.- Pathway Marker Identification Using Gene Expression Data Analysis: A Particle Swarm Optimisation Approach.- Forecasting of the WPI of Textiles in India: An Neural Approach.- Determining Dark Diversity of Different Faunal Groups in Indian Estuarine Ecosystem: A New Approach with Computational Biodiversity.

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Book SynopsisThis book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16–17, 2021. The proceeding is targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.Table of ContentsTowards a Knowledge Centric Semantic Approach for Text Summarization.- Detection of Abnormal Red Blood Cells using Features Dependent on Morphology and Rotation.- A Systematic Review of Challenges and Techniques of Privacy-Preserving Machine Learning.

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Book SynopsisThe book includes a selection of the best papers presented at the Third International Conference on Sustainable Computing (SUSCOM 2021), held in Jaipur, India, during 19 – 20 March 2021. It covers topics like Internet of things (IoT); artificial system of security; smart storage and knowledge retrieval using data cloud; intelligent transport management; intelligent cognitive and bio-inspired computing and management science. The book is useful for peoples from academia, government bodies, healthcare and industry to discuss their future scope.Table of ContentsChapter 1. Analysis of Perceived Usability, Satisfaction and Adoption of Biometric Systems in the Public Transportation Sector of U.A.E..- Chapter 2. A Semisupervised Deep Learning-based Approach with Multiphase Active Contour Loss for Left Ventricle Segmentation from CMR Images.- Chapter 3. Survey on Energy Efficient approach for Wireless Multimedia Sensor Network.- Chapter 4. Effectual Accuracy of Ophthalmological Image Retinal Layer Segmentation.- Chapter 5. Performance Assessment of K-Nearest Neighbor Algorithm for Classification of Forest Cover Type.- Chapter 6. Gestational Diabetes Prediction Using Machine Learning Algorithms.- Chapter 7. Design and Implementation of Buffon Needle problem Using Technology for Engineering Students.- Chapter 8. Energy Efficient Multi-hop Cluster Routing Protocol for WSN.- Chapter 9. A Review of Smart Electronic Voting Machine.- Chapter 10. Application of Machine Learning Techniques in Intrusion Detection Systems: A Systematic Review.- Chapter 11. Relationship between sustainable practices and firm performance: A study of the FMCG sector in India.- Chapter 12. Learning Paradigms for Analysis of Bank Customer.- Chapter 13. Diagnosis of Dermoscopy Images for the Detection of Skin Lesions Using SVM and KNN.- Chapter 14. MaTop: An Evaluative Topic Model for Marathi.- Chapter 15. Convolutional neural network: an overview and application in image classification.

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Book SynopsisThis book gathers high-quality papers presented at the Second International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2021) held at Graphic Era University, Dehradun, India, during May 22–23, 2021. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.Table of ContentsAlleviating the Issues of Recommendation System through Deep Learning Techniques.- Communication Assistant using IoT based Device for People with Vision, Speech and Hearing Disability.- An Optimized Object Detection System For Visually Impaired People.- Sentiment Analysis of Zomato and Swiggy food delivery management system.- Text Similarity Identification based on CNN and CNN-LSTM Model.- Survey Based on Configuration of CubeSats Used for Communication Technology.- Ontology Driven Software Development for better Understanding and Maintenance of Software System.- Application of Genetic Algorithm (GA) in Medical Science: A Review.- Designing a Machine Learning Model to Predict Parkinson’s disease from Voice Recordings.- Prediction Techniques for Maintenance of Marine Bilge Pumps onboard ships.

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Book SynopsisThis book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.Table of ContentsChapter 1. A Review on Power Quality İmprovement of Grid Connected PV With Lithium-ion and Super Capacitor Based Hybrid Energy Storage System Using a New Control Strategy.- Chapter 2. Influence of Alternative Fuels on Exhaust Emissions of IC Engine-A Review.- Chapter 3. Hybrid Energy System For An Academic Institution: A Case Study.- Chapter 4. Challenges to Mini-Grids: An alternative to Rural Electrification.- Chapter 5. Comparative Analysis of Family of Luo Converter for Renewable Energy Applications.- Chapter 6. Design and modeling of L-shape piezoelectric energy harvester for powering Deep Brain Stimulation System.- Chapter 7. Solar Irradiation Forecasting by Long-Short Term Memory using Different Training Algorithms.- Chapter 8. Forecasting of Wind Speed by Using Deep Learning for Optimal Use of the Energy Produced by Wind Farms.- Chapter 9. Analysis of Predictive Current Control Technique in Wind EnergyConversion System.- Chapter 10. Genetic Algorithm based Intelligent Control Strategy for Multi Input Multi Output DC-DC Converter.- Chapter 11. Wavelet Transform Based Comparative Analysis of Wind Speed Forecasting Techniques.- Chapter 12. Maximization of Energy Production from Sholayar Hydropower Plant in India.- Chapter 13. Cuk based Single Phase Inverter Design for PV Array Systems.- Chapter 14. Support Vector Machine based Forecasting for Renewable Energy Systems.- Chapter 15. Efficiency Improvement of PV Panel Using PCM Cooling Technique.- Chapter 16. Parametric Identification AlgorithmUsing Chebyshev−Laguerre Functions.- Chapter 17. Analysis of Piezoelectric Energy harvesting schemes and a proposition for state-of-the-art approach in Hydro-electric power generation.

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Book SynopsisThis book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models.Table of Contents1. Pricing based on product descriptions: problem, data, and methods.- 2. Extract product data from descriptions by NLP techniques.- 3. Segmentation and Quantity the qualify features.- 4. Pricing prediction using machine learning and ensemble methods.- 5. Applications & Discussions.

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Book SynopsisThis book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.Table of ContentsIntroduction to Data Science.- Data Collection and Preparation.- Data Analysis and Machine learning Algorithms.- Data Visualization Tools and Data Modelling.- Data Science in Information, Communication and Technology.- Data Science in Civil & Mechanical Engineering.- Data Science in Clinical Decision System.- Conclusions.

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Book SynopsisThis book gathers selected papers presented at the 4th International Conference on Wireless Communications and Applications (ICWCA 2020), held at Hainan University, China. The first volume of the proceedings will focus on the newest methods and algorithms in smart wireless communications in the areas of multimedia communications over wireless; smart antenna and space-time signal processing; antenna, wireless propagation, and channel modeling; OFDM and multi-carrier techniques; localization and navigation techniques; software-defined networking (SDN) and network function virtualization (NFV); knowledge-defined networking (KDN) and the applications of artificial intelligence (AI) in future networks; future data-center networks; resource allocation and orchestration in future networks and many others.Table of ContentsAlgorithm and Application of Artificial Intelligence in Wireless Sensor Network Coverage.- Design of Cooperative Driving System Based on VANET.- A Study of Intelligent Power Information Collection System Based on Distributed Architecture.- A Multi-User Communication Algorithm for UAV Bee Combat.- Review on Dec-POMDP Model for MARL Algorithms.- Research on AGV Correction Control Method Using QR Code Positioning.- Research on Multi Data Center Collaboration Technology for Multi Station Fusion.- A Novel Method for Online Control in Equipment Parameters of Blow Molding Process.- Research on the Optimum Ratio of Intelligent Rail Guided Vehicle and Computer Numerical Control.- An Apple Grading Method Based on Improved VGG16 Network.

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Book SynopsisThis book gathers selected high-quality research papers presented at the 2nd International Conference on Advanced Computing Applications (ICACA 2021), held virtually during 27––28 March 2021. The book is divided into four sections. These are communication and computing, signal processing and multimedia, computational intelligence and data analytics and decision computing. The topics covered are advanced communication technologies, IoT-based systems and applications, network security and reliability, virtualization technologies, compressed sensors and multimedia applications, signal image and video processing, machine learning, pattern recognitions, intelligent computing, big data analytics, analytics in bio-computing, AI-driven 6G mobile wireless networks and autonomous driving.Table of ContentsInternet of Things-based Animal Health Monitoring and Management.- Cryptanalysis of an Authentication and Key Management Scheme in Context of Generic Hierarchical IoT Network.- Personalized Smart Recommendation System for Industrial Internet of Things.- IoT Based Anti-Poaching Technology to Save Wildlife.- GeoLens: Geospatial Location Exploration Using Mobile Crowdsensing in Tourism 4.0: A case study of Kunjanagar, Falakata, West Bengal.- IoT Cloud System for Streetlights Monitoring based on Solar Energy using ESP32.- Smart Vehicle Management System using Internet of Vehicles (IoV).- IoT Based Real Time HRV Performance Analysis.- Implementation of Acoustic Source Localization on Edge-IoT Platform.- Internet of Things Platform for Advantageous Renewable Energy Generation.

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Book SynopsisThis book presents the papers included in the proceedings of the 2nd International Conference of Advanced Computing and Informatics (ICACIn’21) that was held in Casablanca, Morocco, on May 24–25, 2021. The main theme of the book is “Advances on Smart and Soft Computing.” A total of 71 papers were submitted to the conference, but only 44 papers were accepted and published in this book. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT), information security, cloud computing, networking and computational informatics.Table of ContentsAdaptive Learning Content based on Learning Styles in Learning Management System.- A model-based approach for COVID-19 propagation.- Numerical modeling of the mechanical behavior of recycled flexible PVC loaded with different percentages of chicken feathers.- Covid-19 detection from Pneumonia image classification using Deep Learning.- Towards the Prediction of the Elasticity of Bio Loaded Poly propylene Using Artificial Neural Networks.- Post covid-19: Deep image processing AI to analyze social distancing in a human community

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Book SynopsisThe book features original papers from International Conference on Pervasive Computing and Social Networking (ICPCSN 2021), organized by NSIT, Salem, India during 19 – 20 march 2021. It covers research works on conceptual, constructive, empirical, theoretical and practical implementations of pervasive computing and social networking methods for developing more novel ideas and innovations in the growing field of information and communication technologies.

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Book SynopsisThis book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7–8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.Table of ContentsClassification of Blast Cells in Leukemia Using Digital Image Processing and Machine Learning.- Secured Cloud Storage System using Auto Passkey Generation.- A Novel Multi-Objective Memetic Algorithm for Mining Classifiers.- An Intelligent Road Transportation System.- Securing Data from Active Attacks in IoT: An Extensive Study.

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Book SynopsisThis book gathers a collection of high-quality peer-reviewed research papers presented at the 3rd International Conference on Data and Information Sciences (ICDIS 2021), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 14 – 15, 2021. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.Table of ContentsITSA-KNN: Feature Selection Model Based on Improved Tree-Seed Algorithm and K-Nearest Neighbor for Network Intrusion Detection.- Cost-Effectiveness of Using Tablets for Digital Literacy Training in Tribal Areas of Rajasthan.- Multi-class weather classification: Comparative analysis of Machine learning algorithms.- Deep Learning Based Chatbot Framework ForMental Health Therapy.- Heart Disease Prediction using Core Machine Learning Techniques – A Comparative Study.- Predicting the presence of newt-amphibian using genetic programming.- Prediction of annual Indian Summer Monsoon Rainfall (ISMR) using Parametric Deep learning model.- Early-Stage Detection of Liver Disease through Machine Learning Algorithms.- Applications of High Dimensional Neural Networks: A Survey.- Breast Cancer Classification With Random Forest Classifier With Feature Decomposition Using Principal Component Analysis.- DDNA: A Modified Concept to DNA Cryptography.- A Comprehensive Study of AI-based Steganalysis Techniques on Image and Text Documents.- Image Tampering Forgery Detection using Convolutional Neural Network with Blockchain.

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Book SynopsisThis book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2021), jointly organized by Universidad del Rosario (Bogotá, Colombia); the University of Vigo (Galicia, Spain); the University of Santiago de Compostela-Equipo de Investigaciones Políticas (Galicia, Spain); the University of A Coruña (Galicia, Spain); and the Information and Technology Management Association (ITMA), during September 2021. It covers recent advances in the field of digital communication and processes digital social media, software, big data, data mining, and intelligent systems.Table of Contents

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Book SynopsisThis book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.Table of ContentsData Science: Principles and Concepts in Data Analysis and Modelling.- Data Science: Tools, Techniques and Potential Applications in Earth Observation Studies.- Data Science in Agriculture and Natural Resource Management: An Overview.- Applications of Reinforcement Learning and Recurrent Neural Network Based Deep Learning Frameworks in Agriculture.- Precision Farming Using Emerging Technologies.- An Architecture for Quality Centric Crop Production.- Integrating UAV and Field Sensor Data for Better Decision Making in Broadacre Cropping Systems.- Object Based Crop Classification for Precision Farming.- Disruptive Innovations in Precision Agriculture - Towards BD Analytics for Better GeoFarmatics.- A Paradigm-shift in Global Cropland Maps and Products for Food and Water Security in the Twenty-first Century: Petabyte Scale Satellite Big-data Analytics, Machine Learning, and Cloud Computing.- Big Data Analytics for Climate Resilient Supply Chains: Opportunities and Way Forward.- Mapping Croplands Using Machine Learning Algorithms and Spectral Matching Techniques.- Applications of Computer Vision in Precision Agriculture.- Innovative Geoportal Platforms for Sustainable Management of Natural Resources.

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Book SynopsisThis book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.Table of ContentsStrongly Prime Radicals and S-primary Ideals in Posets.- Association Schemes over Some Finite Group Rings.- Rings whose nonunits are multiple of unit and strongly nilpotent element.- Improved Lower Bounds on Second Order Nonlinearities of Cubic Boolean Functions.- Ces`aro-Riesz Product Summability φ − |C1R; δ|q Factor for an Infinite Series.- Ostrowski’s Type Inequalities with Exponentially Convex Functions and its Applications

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Book SynopsisThis book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 6th International Conference on ICT for Sustainable Development (ICT4SD 2021), held in Goa, India, on 5–6 August 2021. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.Table of ContentsSentiment Analysis of Covid-19 Vaccine Rollout in India.- Empirical Analysis of Static and Dynamic Stopword Generation Approaches.- Text Mining and Machine Learning algorithms to Identifying diseases and providing repair action using ICD-10 codes.- Automated Medical Symptoms Summarization and Patient Profiling System.- Design and Improvement in the Performance of Multi-band House Shaped Microstrip Patch Antenna with SRR based Metamaterial for 5G Applications.- Smart Shoe Provides Vision to Visionless person.- Family Of Friends – A Hostel Utility System.- A Scalable framework for High Performance Computing with Cloud.- Model For Intrusion Detection In Cyber Physical System To Address Network Simulation.- Vulnerability Due to Training Order in Split Learning.- Literature survey for MIMO systems and Interference cancellation in MIMO.- Design and Implementation of Laptop Tracking System based on Cloud Computing and IoT.- Mapping and Change Detection of Mangroves using Remote Sensing and Google Earth Engine: A Case Study.- Modeling Human Tendencies for Password Guessing.- Towards a Framework for Context-Aware Intelligent Transportation System: Case of Kigali.- Language Agnostic Generation of Syntactically Incorrect Programs.- Application of Java Relationship Graphs to Academics for Detection of Plagiarism in Java Projects.- Feature Extraction for Automatic Grading of Students’ Presentations.- Cloud-enabled Education-as-a-Service (EaaS) - A Review.- Decoding Visual Covert Attention Shift from EEG for use in BCI.- Digital Storytelling and ICTs for Education to Foster Sustainable Development.

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Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.Table of ContentsCNN Based Feature Extraction for Visual Speech Recognition in Malayalam.- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset.- Spectral Efficiency Analysis of Massive MIMO.- Dental Cavity Detection using YOLO.- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos.- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning.- Machine Learning Techniques for Keystroke Dynamics.- Artificial Neural Network Approach for Multimodal Biometric Authentication System.- Malware Classification and Defence Against Adversarial Attacks.- Test Suite minimization based upon CMIMX and ABC.- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs.- Convolutional Neural Networks for Malaria Image Classification.- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning.- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels.- Toxic Comment Classification using Bi-Directional GRUs & CNN.- Climate Dependent Crop Management through Data Modeling.- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification.- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion.- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.

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Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.Table of ContentsPsychological stress and mental health among seafarers.- Real Time Face-Mask Detection and Analysis System.- Gait Recognition Biometric System.- Fighting Media Hyper-partisanship with Modern Language Representation Models.- ANN Based Handwritten Digit Recognition and Equation Solver.- Hyperspectral Imaging in Document Forgery.- Optimized Usability Features of Academic Websites using Chicken Swarm and Cat Swarm Optimization Algorithm.- Study and Development of Self Sanitizing Smart Elevator.- Predict COVID-19 with Chest X-ray.- Image Segmentation Techniques: A Survey.- Quantum Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0.- Hybrid System based on Genetic Algorithm and Neuro-Fuzzy Approach for Neurodegenerative Disease Forecasting.- Decentralized Library Management system using Blockchain technology.- Content based Image Retrieval using Deep Learning.- A Deep Learning-Based Feature Extraction Model for Classification Brain Tumor.- Image Classification in Python using Keras.- Predictive Analytics on E-commerce Annual Sales.- A Survey on Deep Learning Methods in Image Analytics.- Journey of Letters to Vectors through Neural Networks.- Accident Risk Prediction and Location Tracking of a Vehicle using Real-Time Data Acquisition from Vehicle Sensors.- Data Augmentation and Fine Tuning the radiography images to detect COVID-19 patients with pre-trained network of Transfer Learning.- Index Optimization using Wavelet Tree and Compression.

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