Artificial intelligence (AI) Books
Springer Verlag, Singapore Proceedings of International Conference on
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.
£179.99
Springer Verlag, Singapore Multi Agent Systems: Technologies and
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.
£132.99
Springer Verlag, Singapore Soft Computing: Theories and Applications:
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.
£224.99
Springer Verlag, Singapore The Rise of Artificial Intelligence and Big Data
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.
£113.99
Springer Verlag, Singapore Proceedings of International Conference on
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.
£189.99
Springer Verlag, Singapore Advances in Intelligent Information Hiding and
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.
£197.99
Springer Verlag, Singapore Rising Threats in Expert Applications and
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.
£179.99
Springer Verlag, Singapore Recent Trends in Communication and Intelligent
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.
£179.99
Springer Verlag, Singapore q-Rung Orthopair Fuzzy Sets: Theory and
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.
£67.49
Springer Verlag, Singapore Blockchain Technology: From Theory to Practice
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.
£85.49
Springer Verlag, Singapore Blockchain Technology: From Theory to Practice
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.
£56.99
Springer Verlag, Singapore Data Engineering and Intelligent Computing:
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
£179.99
Springer Verlag, Singapore Artificial Intelligence and Sustainable
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.
£170.99
Springer Verlag, Singapore Proceedings of International Conference on
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.
£208.99
Springer Verlag, Singapore Knowledge Discovery from Multi-Sourced Data
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
£42.74
Springer Verlag, Singapore Microelectronics, Communication Systems, Machine
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.
£224.99
Springer Verlag, Singapore Foundations of Robotics: A Multidisciplinary
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!
£42.74
Springer Verlag, Singapore Environmental Informatics: Challenges and
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
£113.99
Springer Verlag, Singapore Proceedings of the International Conference on
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.
£251.99
Springer Verlag, Singapore Next Generation Healthcare Informatics
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.
£132.99
Springer Verlag, Singapore 3D Imaging—Multidimensional Signal Processing and
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.
£189.99
Springer Verlag, Singapore Ubiquitous Intelligent Systems: Proceedings of
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.
£208.99
Springer Verlag, Singapore Smart Transportation Systems 2022: Proceedings of
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.
£179.99
Springer Verlag, Singapore Intelligent Sustainable Systems: Proceedings of
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.
£189.99
Springer Verlag, Singapore Computational Methods and Data Engineering:
Book SynopsisThe book features original papers from International Conference on Computational Methods and Data Engineering (ICCMDE 2021), organized by School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, during November 25–26, 2021. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of advanced computing.Table of ContentsChapter 1. A Graph Based Extractive Assamese Text Summarization.- Chapter 2. Internet of Things (IoT) for Secure Data and M2M Communications.- Chapter 3. Deveelopment of Walking Assistants for Visually Challenged Person.- Chapter 4. A PERFORMANCE STUDY OF PREDICTION MODELS FOR DIABETES PREDICTION USING MACHINE LEARNING.- Chapter 5. Orthopantomogram (OPG) Image Analysis using Bounding Box Algorithm.- Chapter 6. Design and Analysis of an Improved Artificial Neural Network Controller for the Energy Efficiency Enhancement of Wind Power Plant.- Chapter 7. Detection of Renal Calculi using Convolutional Neural Networks.- Chapter 8. Question Answering and Text Generation using BERT and GPT-2 Model.- Chapter 9. Improved Lenet Model for Flower Classification Using GPU Computing.- Chapter 10. Distributed computing over the Next Generation Mobile Communication Network (NGMCN) is an emerging technology.- Chapter 11. The ELF Tribe: Redefining Primary Education in a Post-COVID Era.- Chapter 12. An Extreme Machine Learning Mdel for Evaluating Landslide Hazard Zonation in Nilgiris District, Causative Factors and Risk Assessment using Earth Observation Techniques.- Chapter 13. Analysis of Cross-Site Scripting Vulnerabilities in Various Day-to-Day Web Applications.- Chapter 14. Detecting Cyberbullying with text classification using 1DCNN and Glove Embeddings.- Chapter 15. A Bayesian Network Based Software Requirement Complexity Prediction Model.
£161.99
Springer Verlag, Singapore Smart Data Intelligence: Proceedings of ICSMDI
Book SynopsisThis book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications.Table of ContentsDetection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm.- Malware Attack Detection on IoT Devices Using Machine Learning.- BeSafe: IoT Based Safety Band.- Stock Market Analysis and forecasting with Statistical and Deep Learning Methods.- The paradigm shift in Higher Education from traditional learning to digitalisation.- Designing a socially intelligent system by cognitive modeling of human-environment interaction.- Web-Based recycle Waste Management for Ecommerce.
£208.99
Springer Verlag, Singapore Finite Element Method: Element Solutions
Book SynopsisThis textbook is intended to be used by the senior engineering undergraduate and the graduate student. Nowadays, the finite element method has become one of the most widely used techniques in all the engineering fields, including aerospace engineering, mechanical engineering, biomedical engineering, etc. To unveil the FE technique, the textbook provides a detailed description of the finite element method, starting from the most important basic theoretical basis, e.g., the Galerkin method, the variational principle, followed by the detailed description of the various types of finite elements, including the bar, the beam, the triangular, the rectangular, the 3D elements. The primary aim of the textbook is to provide a comprehensive description of the FE solutions using different types of elements. Therefore, the properties of different elements and the solution discrepancies caused by using different elements are highlighted in the book. Thus, the textbook is very helpful for engineers to understand the behaviours of different types of elements. Additionally, the textbook can help the students and engineers write FE codes based on the theories presented in the book. Furthermore, the textbook can serve as the basis for some advanced computational mechanics courses, such as the nonlinear finite element method. Table of ContentsChapter 1 Introduction.- Chapter 2 Theoretical basis of the finite element method.- Chapter 3 Finite element analysis using bar element.- Chapter 4 Finite element analysis using beam element.- Chapter 5 Finite element analysis using triangular element.- Chapter 6 Finite element analysis using rectangular element.- Chapter 7 Finite element analysis using 3D elements.- Chapter 8 High order Lagrange element.
£63.99
Springer Verlag, Singapore Butterfly Optimization Algorithm: Theory and
Book SynopsisThis book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). It also highlights hybridization process in the basic structure of BOA with in-depth analysis of complexity. This book also describes the constraint handling process. The newly introduced variant is implemented and validated on a set of linear and nonlinear real works problems of engineering and pulp and paper industry. The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm. Table of ContentsButterfly Optimization Algorithm.- Differential Butterfly Optimization Algorithm - A hybrid variant.- Application of DBOA in Structural Engineering Design Problems.- Application of DBOA in Pulp & Paper Process Optimization.- Conclusion and Future Directions.
£37.99
Springer Verlag, Singapore Cultural Algorithms: Recent Advances
Book SynopsisThis book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications. Cultural Algorithms are meta-heuristic numerical optimization techniques inspired by the bio-cultural evolutionary theory, in which both types of vertical and horizontal learning behaviors are modeled. The book includes well-briefed basics of optimization and theoretical backgrounds of Cultural Algorithms in its initial chapters and then discusses their applications in different branches of science and engineering. It provides detailed mathematical formulations and algorithmic pseudo-codes of hybridized, extended, and multi-population variants of cultural algorithms. The book will serve the research students, fellows, professors, and industry professionals to implement real-time applications of Cultural Algorithms.Table of ContentsIntroduction to Culture.- Introduction to optimization.- Cultural Algorithms (CAs).- Applications of Engineering.
£132.99
Springer Verlag, Singapore Intelligent System Design: Proceedings of INDIA
Book SynopsisThis book presents a collection of high-quality, peer-reviewed research papers from the 7th International Conference on Information System Design and Intelligent Applications (India 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25 to 26, 2022. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing.
£189.99
Springer Verlag, Singapore Inventive Communication and Computational
Book SynopsisThis book gathers selected papers presented at the Inventive Communication and Computational Technologies Conference (ICICCT 2022), held on May 12–13, 2022, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of Things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.Table of ContentsA Comparitive Study of Employee Attrition Analysis using Machine Learning and Deep Learning Techniques.- Efficient RNS Realization of High Speed Arithmetic Multiplier with Respect to Cryptographic Computation.- An Integrated Terrestrial - Satellite Cellular 5G Network Routing Protocol Using Reinforcement Learning Techniques.- Direct Trust-based GPSR Protocol (DT-GPSR) in VANET.- Combating Challenges in Healthcare using Blockchain.- HIDSC2: Host Based Intrusion Detection System in Cloud Computing.- The Impact of Online Reviews on Download Numbers of Mobile Apps.- Learning System During the Covid-19 in a University.- The Adoption of using the Zoom Application as a Learning Tool to Increase Neuro-Cognitive for Public High School in Jakarta.- Context Aware Voice Recognition System for Car Climate and Infotainment Control.- Study of Identification of Breast Tumor Through DL Technique.- Methods for Assessing Information Security Incidents in the Enterprise and Making Decisions.- Data Analytics for Healthcare Institutions: A Data Warehouse Model Proposal.- The Role of Existing Technology Text to Speech in the Deaf Disabled Communities due to Brain Inflammation.- Performance Analysis of Hybrid Deep Learning Approach for Human Actions Recognition.
£179.99
Springer Verlag, Singapore Communication, Software and Networks: Proceedings
Book SynopsisThis book highlights a collection of high-quality peer-reviewed research papers presented at the 7th International Conference on Information System Design and Intelligent Applications (INDIA 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25–26, 2022. It covers a wide range of topics in computer science and information technology, from wireless networks, social networks, wireless sensor networks, information and network security, to web security, Internet of Things, bioinformatics, geoinformatics, and computer networks.Table of ContentsChapter 1. A Novel controller for Multiple-Input Bidirectional DC-DC Power Converter of HESS for DC Microgrid Applications.- Chapter 2. Model Based Automatic Seizure Detection of EEG Signal Analysis by Frequency and Time Domain Methods.- Chapter 3. Performance Assessment of FACTS Devices for Enhancing Stability and Control in Power Systems.- Chapter 4. Filter Bank Multi-Carrier Modulation with OQAM based Sparse Channel Estimation.- Chapter 5. A Cascaded H-Bridge MLI Fed Motor By Using Fuzzy-MPPT PV System.- Chapter 6. EMG-based Analysis of Rehabilitation Exercises for Diastasis Recti Abdominis.- Chapter 7. Secure Cloud Auditability For Virtual Machines by Adaptive Characterization Using Machine Learning methods.- Chapter 8. Design of TPG BIST using various LFSR for Low Power and Low Area.- Chapter 9. Device-To-Device Data Transmission Over Sound Waves using FSK/BPSK/QPSK.- Chapter 10. Performance Evaluation of Radar Backscatter of S-Shaped Duct with Conventional Intake Duct.- Chapter 11. A Novel Flash Type Time-to-Digital Converters (TDC) Using GDI Technique.- Chapter 12. A Symbiotic Model for Accurate Weather Forecasting.- Chapter 13. FPGA Design of Area Efficient, Superfast Motion Estimation using JAYA Optimization based Block Matching Algorithm.- Chapter 14. Motor Vehicle Alert System in On- Campus Environments: Omniscient Vehicle Sensor.- Chapter 15. Backup& Restore Strategies for Medical Image Database using NoSQL.
£189.99
Springer Verlag, Singapore Advanced Driver Assistance Systems and Autonomous Vehicles: From Fundamentals to Applications
Book SynopsisThis book provides a comprehensive reference for both academia and industry on the fundamentals, technology details, and applications of Advanced Driver-Assistance Systems (ADAS) and autonomous driving, an emerging and rapidly growing area. The book written by experts covers the most recent research results and industry progress in the following areas: ADAS system design and test methodologies, advanced materials, modern automotive technologies, artificial intelligence, reliability concerns, and failure analysis in ADAS. Numerous images, tables, and didactic schematics are included throughout. This essential book equips readers with an in-depth understanding of all aspects of ADAS, providing insights into key areas for future research and development. • Provides comprehensive coverage of the state-of-the-art in ADAS • Covers advanced materials, deep learning, quality and reliability concerns, and fault isolation and failure analysis • Discusses ADAS system design and test methodologies, novel automotive technologies • Features contributions from both academic and industry authors, for a complete view of this important technologyTable of ContentsChapter 1 - Introduction.- Chapter 2 - Basics and Applications of AI in ADAS and Autonomous Vehicles.- Chapter 3 - Computing Technology in Autonomous Vehicle.- Chapter 4 - Overview of Packaging Technologies and Cooling Solutions in ADAS market.- Chapter 5 - Flash Memory and NAND.- Chapter 6 – Interconnect.- Chapter 7 - Cameras in Advanced Driver-Assistance Systems and Autonomous Driving Vehicles.- Chapter 8 - Lidar technology.- Chapter 9 - Radar Technology.- Chapter 10 - Electrochemical Power Systems for Advanced Driver-Assistant Vehicles.- Chapter 11 - In-Vehicle Display Technology.- Chapter 12 - Disk drive for data center storage.- Chapter 13 - Role and responsibility of hardware reliability engineer.- Chapter 14 - Failure Analysis in Advanced Driver Assistance Systems.- Chapter 15 - Corrosion mechanisms of copper and gold ball bonds in semiconductor packages.
£132.99
Springer Verlag, Singapore Image and Graphics Technologies and Applications:
Book SynopsisThis book constitutes the refereed proceedings of the 17th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2022, held in Beijing, China, during April 23–24, 2022.The 25 full papers included in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: image processing and enhancement techniques; machine vision and 3D reconstruction; image/Video big data analysis and understanding; computer graphics; visualization and visual analysis; applications of image and graphics.Table of ContentsImage processing and enhancement techniques.- Multi-Resolution Parallel Aggregation Network for Single Image Deraining.- Multi-scale Bézier filter based infrared and visual image fusion.- Towards Neural Video Compression: A Rate Distortion Modeling Perspective.- A Fast Line and Ellipse Detection on High Resolution Images.- Quality Assurance and Verification of GFDM Satellite Imagery.- Machine vision and 3D reconstruction.- BSIHKS of 3D point cloud model and model matching: bi-temporal scaling invariant heat kernel signature.- A review of solutions to stereo correspondence challenges.- Low Overlapping Plant Point Cloud Registration and Splicing Method Based on FPFH.- Integration of Depth Normal Consistency and Depth Map Refinement for MVS Reconstruction.- Image/Video big data analysis and understanding.- Adaptive Registration for Multi-type Remote Sensing Images via Dynamic Feature Selection.- Deform-CAM: Self-Attention Based on Deformable Convolution for Weakly Supervised Semantic Segmentation.- Density-NMS: Cell Detection and Classification in Microscopy images.- Face Detection in Distorted Images Based onImage Restoration and Meta-learning.- Person Re-identification using Multi-branch Cooperative Network.- Cross-domain object detection through Image-Category features joint alignment.- Detection of abnormal crowd behavior based on ViBE and Optical flow methods.- Generating Lymphoma ultrasound image description with Transformer model.- Computer graphics.- Accelerated Photon Mapping for Homogeneous Participating Media Based on Octree.- Visualization and visual analysis.- A Survey of Literature Analysis Methods based on Representation Learning.- Applications of image and graphics.- A MobileNet SSDLite Model with Improved FPN for Forest Fire Detection.- Applications of Photogrammetry and Remote Sensing Technologies in Tianwen-1 Mission.- MRI Brain Tumor Classification Based on EfficientNet with Non-rigid Transformations.- Design and Implementation of a Digital Star Map Simulation Module.- Design and Implementation of The Search System Based on The Airborne Multi-mode Imaging Cloud Platform.- Method for Imaging Quality Evaluation of Onboard Camera of Image-guided Projectile.- Stroke Based Painting with 3D Perception.
£66.49
Springer Verlag, Singapore The Science of Soft Robots: Design, Materials and
Book SynopsisThe goal of this textbook is to equip readers with as structured knowledge of soft robotics as possible. Seeking to overcome the limitations of conventional robots by making them more flexible, gentle and adaptable, soft robotics has become one of the most active fields over the last decade. Soft robotics is also highly interdisciplinary, bringing together robotics, computer science, material science, biology, etc. After the introduction, the content is divided into three parts: Design of Soft Robots; Soft Materials; and Autonomous Soft Robots. Part I addresses soft mechanisms, biological mechanisms, and soft manipulation & locomotion. In Part II, the basics of polymer, biological materials, flexible & stretchable sensors, and soft actuators are discussed from a materials science standpoint. In turn, Part III focuses on modeling & control of continuum bodies, material intelligence, and information processing using soft body dynamics. In addition, the latest research results and cutting-edge research are highlighted throughout the book. Written by a team of researchers from highly diverse fields, the work offers a valuable textbook or technical guide for all students, engineers and researchers who are interested in soft robotics.Table of ContentsChapter 1: Introduction.- Chapter 2: Soft Mechanisms.- Chapter 3: Biological Mechanisms.- Chapter 4: Soft Manipulation and Locomotion.- Chapter 5: Basics of Polymer.- Chapter 6: Biological Material.- Chapter 7: Flexible and Stretchable Sensors.- Chapter 8: Soft Actuators.- Chapter 9: Modeling and Control of Continuum Body.- Chapter 10: Material Intelligence.- Chapter 11: Information Processing using Soft Body Dynamics.
£71.24
Springer The Science of Soft Robots
Book SynopsisChapter 1: Introduction.- Chapter 2: Soft Mechanisms.- Chapter 3: Biological Mechanisms.- Chapter 4: Soft Manipulation and Locomotion.- Chapter 5: Basics of Polymer.- Chapter 6: Biological Material.- Chapter 7: Flexible and Stretchable Sensors.- Chapter 8: Soft Actuators.- Chapter 9: Modeling and Control of Continuum Body.- Chapter 10: Material Intelligence.- Chapter 11: Information Processing using Soft Body Dynamics.
£49.49
Springer Verlag, Singapore Emerging Research in Computing, Information,
Book SynopsisThis book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022. 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 ContentsTeaching Learning-Based Optimization with Learning Enthusiasm Mechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals.- Machine Learning Framework for Prediction of Parkinson’s Disease in Cloud Environment.- A Comparative Analysis to Measure Scholastic Success of Students Using Data Science Methods.- Gesture-Controlled Speech Assist Device for the Verbally Disabled.- Highly Classified with Two Factor Authentication Encrypted Secured Mail.- Efficacious Intrusion Detection on Cloud Using Improved BES and HYBRID SKINET-EKNN.
£237.49
Springer Verlag, Singapore Artificial Intelligence Oceanography
Book SynopsisThis open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing. Table of ContentsTheory and technology of artificial intelligence for oceanography.- Satellite data-driven internal wave forecast model based on machine learning techniques.- Detection and analysis of marine macroalgae based on artificial intelligence.- Tropical cyclone intensity estimation from geostationary satellite imagery.- Reconstructing marine environmental data based on deep learning.- Detecting oceanic processes from space-borne sar imagery using machine learning.- Deep convolutional neural networks-based coastal inundation mapping for un-defined least developed countries: taking madagascar and mozambique as examples.- Ai- based mesoscale eddy study.- Classifying sea ice types from sar images based on deep fully convolutional networks.- Detecting ships and extracting ship's size from SAR images based on deep learning.- Quality control of ocean temperature and salinity data based on machine learning technology.- automatic extraction of internal wave signature from multiple satellite sensors based on deep convolutional neural networks.- Automatic extraction of waterlines from large-scale tidal flats on SAR images and applications based on deep convolutional neural networks.- Forecast of tropical instability waves using deep learning.- Sea surface height prediction based on artificial intelligence.
£33.24
Springer Verlag, Singapore Intelligent Systems and Applications: Select
Book SynopsisThis book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry. Table of ContentsIntelligent Systems in Agriculture.- Intelligent Systems in Internet of Things and Cloud Computing.- Intelligent Systems in Image Processing and Deep Learning.- Cyber Security and Data Security.- Intelligent Systems for Social Welfare I.- Intelligent Systems for Social Media.
£224.99
Springer Verlag, Singapore Education, Research and Business Technologies:
Book SynopsisThis book includes high-quality research papers presented at 21st International Conference on Informatics in Economy (IE 2022), which is held in Bucharest, Romania, during May 2022. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.Table of ContentsMicro-Services as Key Enabler of a Cloud-Native Architecture.- The Importance of Security and Safety in a Smart City.- Cyber Range Technology Stack Review.- IOT Security Challenges for Smart Homes.- An Overview of Security Issues in Smart Contracts on the Blockchain.- Agile Business Systems Development Paradigms – Technological and Human Resource Perspectives.- Identification of Qualitative Weak Signals Coming from Asset Management Working Practices to Feed Forward-Looking Investment Pensions Funds Models.- Digital Competences in the Public Sector – Challenges for Universities.- Transport System in Bucharest.- General Characteristics of the Assisted E-Learning System in Computer Science.- E-Learning in Romania: An Overview on Software Solutions from Private Initiatives.
£179.99
Springer Verlag, Singapore Pipeline Inspection and Health Monitoring
Book SynopsisThis book includes six chapters aiming to introduce global pipeline inspection and health monitoring technologies comprehensively. The pipeline is the blood vessel of the energy system and a vital lifeline project. After many years of service, the pipeline gradually enters the aging stage. Pipeline inspection and health monitoring can effectively reduce the failure and accident risks of the pipeline, and it is conducive to integrity management. Through case analysis, practitioners can have a deeper understanding of the application of related technologies.Table of ContentsIntroduction.- Pipeline Inspection Technology.- Pipeline Health Monitoring Technology Based on Hardware.- Health Monitoring Technology Based on Signal Processing.- Health Monitoring Technology Based on Artificial Intelligence.- Data Preprocessing Technology in Pipeline Health Monitoring.- Heterogeneous Data Preprocessing and Alignment Technology in Pipeline Health Monitoring.- Application and Cases of Pipeline Inspection Technology.- Application and Cases of Pipeline Health Monitoring Technology.
£142.49
Springer Verlag, Singapore Smart Technologies in Data Science and
Book SynopsisThis book features high-quality, peer-reviewed research papers presented at the Fifth International Conference on Smart Technologies in Data Science and Communication (SMARTDSC 2022), held Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India, on 16 – 17 June 2022. It includes innovative and novel contributions in the areas of data analytics, communication and soft computing. Table of ContentsA Graph based model for Discovering Host-based hook Attacks.- E-Health Care Patient Information Retrieval and Monitoring System Using SVM.- Number Plate Recognition using Optical Character Recognition (OCA) and Connected Component Analysis (CCA).- Cartoonify an Image with Open cv using Python.- Web Design as an Important Factor in the Success of a Website.- Earlier Selection of Routes for Data Transfer in both Wired and Wireless Networks.
£170.99
Springer Verlag, Singapore Proceedings of the World Conference on
Book SynopsisThis book features a collection of high-quality, peer-reviewed research papers presented at first ‘World Conference on Intelligent and 3-D Technologies’ (WCI3DT 2022), held in China during May 24–26, 2022. The book provides an opportunity for the researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.
£179.99
Springer Verlag, Singapore Evolution in Computational Intelligence:
Book SynopsisThe book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.Table of ContentsSIFT Application Separates Motion Characteristics and Identifies Symbols on Tires.- Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model.- Comparative Study on Different Approaches for Understanding the Privacy Policies.- A framework for the development of Intrusion detection system using Deep Learning.- A Self Explainable Face Anti-Spoofing Solution based on Depth-Estimation.- A Naïve Approach for Mutation Detection using Color Encodings and String Matching Techniques.- Particulate Matter Concentration Estimation from Images Based on Convolution Neural Network.- Brain Tumor Prediction from MRI Images using an ensemble model based on EfficientNet-B2, B4, and ResNet34 architectures.- Automatic Abnormality Detection in Musculoskeletal Radiographs using Ensemble of Pre-trained Networks.- Ablation study of Indian Automatic Vehicle Number Plate Recognition model trained over Synthetic dataset.- An Approach of Hate Speech Identification on Twitter Corpus.- A Fuzzy C-Means Based Clustering Protocol to Improve QoS of Multi Sink WSNs.- A Descriptive Analysis of Reddit Comments using Data Analytics Approach.- Streamflow forecasting using novel ANFIS-GWO approach.- A Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Multimodal Optimization Processes.- A Survey on Medical Image Analysis Using Deep Learning.- Improving English-Assamese Neural Machine Translation using Transliteration-based Approach.- Prediction of Air Quality using Machine Learning.- Inter domain text classification: A hybrid approach.- Sentimental Analysis of Twitter Users’ Text Using Machine Learning.
£208.99
Springer Verlag, Singapore Intelligent Data Engineering and Analytics:
Book SynopsisThe book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.Table of ContentsAgriBlockchain: Agriculture supply chain using blockchain.- A Triple Band High Gain Antenna Using Metamaterial.- Hybrid Energy Systems Integrated Power System Imbalance Cost Calculation using Moth Swam Algorithm.- Lightweight Privacy Preserving Framework at Edge Layer in IoT.- Concept drift aware analysis of learning engagement during Covid 19 pandemic using adaptive windowing.- MPA Optimized Model Predictive Controller for Optimal Control of an AVR system.- Optimal Power Flow Considering Uncertainty of Renewable Energy Sources Using Meta-Heuristic Algorithm.- Remote Sensing Image Fusion Based on PCA and Wavelets.- Physical Layer Security in MIMO Relay Based Cognitive Radio Network.- Weighted Low Rank and Sparse Matrix Decomposition Models for Separating Background and Foreground in Dynamic MRI.- A Novel Approach For Bug Triaging Using TOPSIS.- Energy Efficient Resource Allocation in Cognitive Radio Networks.- A Hybrid Feature Selection Framework for Breast Cancer Prediction using Mutual Information and AdaBoost-RFE.- Internet of Things enabled Irrigation System in Precision Agriculture.- Medical Internet of Things and Data Analytics for Post-Covid Care: An Analysis.- ECG Biometric Recognition by Convolutional Neural Networks with Transfer Learning using Random Forest Approach.- Design and Analysis of a Metamaterial Based Butterworth Microstrip Filter.- A Review of Financial Fraud Detection in E-Commerce using Machine Learning.
£208.99
Springer Verlag, Singapore Intelligent Sustainable Systems: Selected Papers
Book SynopsisThis book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2022) 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 ContentsAI’s Role and Application in Education: Systematic Review.- Digital Service Quality from Elderly Generation Perspective to Improve Online Business and Economy: A Theoretical Framework.- Green Software Product: The Empirical Study on Social Factor and Measurements.- A Systematic Review and Future Perspective of Mental Illness Detection using Artificial Intelligence on Multimodal Digital Media.- E–Service Quality: A Literature Review and Research Trends.- Posture Control of Collaborative Robotic Manipulator Based on Gesture Sensors.- Redefining the museum experiences in the virtual age.- Evaluation of single-stage, two-stage, and anchor-free Object Recognition methods for UAV detection.- An Experimental Study of Machine Learning Algorithms for Predicting Startup Success.
£224.99
Springer Verlag, Singapore Intelligent Sustainable Systems: Selected Papers
Book SynopsisThis book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2022) 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 ContentsHow Predictive Software Engineering Creates Effective Business Solutions Through Custom Software Development.- Roadcast: A Vehicle Incident Management System and Forecasting Implementing Moving Average.- Beak-A-Boo: An Augmented Reality Mobile Application About Endangered Bird Species in the Philippines.- E-commerce Platform with Recommender System and Android Mobile Application.- Geoparks as sites for conservation, education, and development: a bibliometric review.- IoT Smart Irrigation System for Precision Agriculture.- Value Proposal: A Participatory Brand Construction Model.- OCD: On-Demand Ordering Food through Online Crowdsourcing.- Augmented reality in e-commerce: the new era of online shopping.
£224.99
Springer Verlag, Singapore Advanced Intelligent Virtual Reality
Book SynopsisThis book gathers a collection of selected works and new research results of scholars and graduate students presented at the 6th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2022) via the Internet, during July 22-24 2022, hosted and organized by Sojo University in conjunction with other three universities and Beijing Huaxia Rongzhi Blockchain Technology Institute. The focus of the book is interdisciplinary in nature and includes research on all aspects of artificial intelligence and virtual reality, from fundamental development to the applied system. The book covers topics such as system techniques, performance, and implementation; content creation and modelling; cognitive aspects, perception, user behaviour; AI technologies; interactions, interactive and responsive environments; AI/VR applications and case studies.Table of ContentsPart 1: Invited Paper.- Chapter 1. Paraconsistency and Paracompleteness in AI: Review Paper.- Part 2: Regular Papers.- Chapter 2. Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response.- Chapter 3. Transferring Dense Object Detection Models to Event-based Data.- Chapter 4. Diagnosing Parkinson’s Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques.- Chapter 5. Elements of Continuous Reassessment and Uncertainty Self-Awareness: A Narrow Implementation for Face and Facial Expression Recognition.- Chapter 6. Topic-aware Networks for Answer Selection.- Chapter 7. Design and Implementation of Multi_Scene Immersive Ancient Style Interaction System Based on Unreal Engine Platform.- Chapter 8. Auxiliary Figure Presentation Associated with Sweating on a Viewer’s Hand in order to Reduce VR Sickness.- Chapter 9. Design and Implementation of Immersive Display Interactive System Based on New Virtual Reality.- Chapter 10. 360-Degree Virtual Reality Videos in EFL Teaching: Student Experiences.- Chapter 11. Research on Chinese Garden Art Appreciation Based on Virtual Technology.- Chapter 12. Medical-Network (Med-Net): A Neural Network for Breast Cancer Segmentation in Ultrasound Image.- Chapter 13. Auxiliary Squat Training Method Based on Object Tracking.- Chapter 14. Study on the Visualization Modeling of Aviation Emergency Rescue System Based on Systems Engineering.- Chapter 15. An AI-based System Offering Automatic DR-enhanced AR for Indoor Scenes.- Chapter 16. Extending Mirror Therapy into Mixed Reality – Design and Implementation of the application PhantomAR to alleviate phantom limb pain in upper limb amputees.- Chapter 17. An Analysis of Trends and Problems of Information Technology Application Research in China's Accounting Field based on CiteSpace.- Chapter 18. Augmented Reality Framework and Application for Aviation Emergency Rescue Based on Multi-Agent and Service.
£189.99
