Abstract: Chapter 1: Explanation for the Theme -- Chapter 2: Creating a New Era -- Chapter 3: Global Perspective -- Chapter 4: Dream-seeking Journey -- Chapter 5: Mystifying Scene -- Chapter 6: Genius of the Central Plain -- Chapter 7: The Imposing Manner of the Royal Capital -- Chapter 8: Building in the Middle and Erecting in the North -- Chapter 9: Affairs of the State -- Chapter 10: The Society of the Capital City -- Chapter 11: Atmosphere of the Civilization -- Chapter 12: Wonderful Workmanship Excelling Nature -- Chapter 13: People’s Livelihood of the City -- Chapter 14: All the Rivers Running into the Sea -- Chapter 15: Powerful Radiation.

Abstract: “The Earliest China” is the first archaeological book in China to translate in the dominant language of the world on the origin of Chinese ancient civilization in the Central Plains and the study of Xia dynastic culture. It shows readers all over the world the outstanding achievements in the study of the formation of early state in China and is the first English translation monograph on the birth history of the first dynasty of Hua-Xia nation from the perspective of archaeology. With the specific archaeological data on the basis of excavations and investigation conducted in recent years, this book focuses on the interpretation of the rise and development of the ancient civilization having initially appeared in the Central Plain of China and even in the Eastern Asia. The book contents include abundant manifestations of the first flourishing civilization especially at the Erlitou site along the Yi and Luo Rivers, characteristic of ultra-large capital city, palace buildings, elaborate bronze vessels, and stratified social organization. With the combination of previously literature, the original author attempts to further explain how the earliest China, a royal-powered, and large-scaled state, emerged four thousand years ago. In this book, the analysis on a comprehensive landscape of the ancient civilization prior to the Shang Dynasty leads the point of views, distinctively from the traditional historical perspectives. With a global perspective, he further compares with other significant civilizations in the world and also points out cultural communications between the early China and other external cultures in the Bronze Age. Therefore, this book, the Earliest China of English translated version, is so appropriate to be recommended to foreign scholars and sinologists, as well as everyone who has been attracted by China’s charm overseas. With book contents, ideas, and thoughts that it contains, one can easily acknowledge the goals, methods, and reconstruction process of China’s prehistory, so English readers will acknowledge so well about the Chinese Archaeology in the Bronze Age, which does vary in many aspects from that of European and American. .

Abstract: Chapter 1. Recent Trends in Electromyography Signal Processing of Neuromuscular Diseases: An Outlook -- Chapter 2. Conceptualization, Visualization and Modeling of Ontologies for Elementary Kinematics -- Chapter 3. A Deep Neural approach towards Staining and Tinting of Monochrome Images -- Chapter 4. Evaluation of IoT based Automatic Headlight Dimmer Systems -- Chapter 5. Enhanced Energy Efficient Fuzzy Logic Clustering and Network Coding Strategy for Wireless Sensor Networks (EEE-FL-NC) -- Chapter 6. Malware Classification using Automated Transmutation and CNN -- Chapter 7. Content-Based Image Retrieval using Energy Based Frequency Domain Features -- Chapter 8. Decision Tree Based Event Detection Framework for UWSN Routing to Optimize Energy Consumption During Transmission -- Chapter 9. Recognizing Child Unsafe Apps through User Reviews on the Google Play store -- Chapter 10. Brain Tumor Classification Using Deep Learning and Big Data Analytics -- Chapter 11. Drone Stability Simulation Using Ros And Gazebo -- Chapter 12. Knowledge Management framework for the supervision of IT postgraduate research in Sri Lanka -- Chapter 13. RFM-based Customer Analysis and Product Recommendation System -- Chapter 14. Efficient Hardware Trojan Detection using Generic Feature Extraction and Weighted Ensemble Method -- Chapter 15. An Approach for Offline Handwritten Character Shape Reconstruction Using Active Contour and Morphological Techniques.

Abstract: This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2021) held at NCR New Delhi, India, during March 20–21, 2021, jointly organized by Galgotias University, India, and Department of Information Engineering and Mathematics Università Di Siena, Italy. It discusses emerging topics pertaining to advanced computing, intelligent technologies, and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers a valuable asset for researchers from both academia and industries involved in advanced studies.

Abstract: Part 1: Decision Support System -- Recommended Model of Pollution Information Based on Collaborative Filtering Algorithm -- Research on the Evaluation of TCM Service Level in Various Regions of China -- A Method for Evaluating Health Status of Rail Transit Signaling Equipment Based on Group Decision -- Intelligent Decision Support System for Precision Medicine (IDSS 4 PM) -- A Study of Result Oriented Performance Appraisal — Taking Huawei As an Example -- Under a Management Perspective: Analysis of the Relationship Between Trust and Behavior Decision-Making -- Research on the Regulation of Industrial Structure in the Mid-southern Liaoning Urban Agglomeration from the Perspective of Spatial Connection -- Research on the Influence Mechanism of Family-Supportive Supervisor Behaviors on Employees’ Intention to Stay From the Perspective of Dual Scenario Embeddedness -- Policy Burden, Industry Competition and Corporate Risk Taking -- Blended Teaching Mode of Tourism English Based on TPACK -- Part 2: Technology and Innovation Management -- Research on Privacy Protection of Internet of Things Search Data Based on Fine-grained Authorization -- Design of Emergency Rescue Deduction System for Bus Fire Accident Based on Virtual Reality -- Application of Game Theory in the Field of Technology Innovation -- Research on Innovation Mechanism of Corporate Volunteering in China -- Research on the Differential Incentive Effect of Patent Pool on Specific Technology Learning -- Research on Present Situation and the Countermeasure Analysis of Football Training in University -- The Relationship Between Employees' Body Dissatisfaction and Job Burnout in the Workplace: A Management Research Proposal -- Analysis for the Governance of Illegal Use of Civil Unmanned Aerial Vehicle -- Implementation Considerations for the Applied Business Intelligence in Healthcare -- Exploration of Effective Ways of Educational Management of College Students in the Big Data Era -- Research on Flow Uniformity of The Charge Air Cooler Based on CFD -- Acoustic Analysis of the Singing Voice of the Ewenki Traditional Folk Song—Song of the Mother Deer -- Simulation on Dynamics of the Recoil and Counter-Recoil Movement of the Gun Recoil System -- Types of Safety Risks of Sports Training for Children and Thoughts of Management ——A Case Study Analysis based on H Training Institution in Huaihua City -- Research on the Current Situation and Measures of Resource Management of Public Sport Facilities in a City -- Research on the Innovative Teaching Mode of Microeconomics Based on OBE Concept -- Model Construction and Empirical Analysis of the Efficiency Evaluation of Resource and Environment System -- Part 3: Operation & Management -- Ethical Review of Performance Appraisal -- Research on the Characteristics of Community Service and Management Countermeasures in the New Era: Take Heping District,Tianjin for Example -- The Education Value and System Construction of Campus Football -- A Wind Sustainable Energy Harvesting Device for Bicycle Riding on Product Design -- A Study of the Sustainable Energy Product for Bicycle Riding on Design Method -- The Relationship between Social Network Site Use and Employee Well-being: A Management Research Proposal -- An Empirical Study on the Enhancement of Internal and External Corporate Social Responsibility on Employees' Advocacy Behavior -- Research on the Mixed Learning Model of College Physical Education Teaching under the Background of "Internet+" -- Psychological Ownership of Ones' Organization Explains the Positive Relationship between Corporate Social Responsibility Participation and Organizational Engagement -- Construction of Smart Health Management Mode——Exploration and Practice of Physical Education Researchers of Tsinghua University -- The Management of Tiktok operation -- The Socialized Operation and Resource Development of Opening University Stadiums and Gymnasiums ----Taking Huaihua University as an Example -- Study on Operations Management of University Stadiums in the Framework of Healthy China -- Research on the Entry Mode of Chinese Multinational Enterprises into American Market -- Part 4: Internet & E-commerce Based Applications -- Analyses of Medical Income of Public Hospitals Based on the Degree of Structural Variation in Jiangxi Province, China -- Adoption of Mobile Commerce by Indian Small Retailers -- Event-triggered Consensus of Directed Interdependent Networks -- An Empirical Study on the Allocation of Control Rights in Foreign Transnational Joint Ventures in China -- Detect Fraud Bank Checks with a Simplified Image Multi-Threshold Decision Processing Algorithm -- Income Analysis of Social Users Based on Multi Features -- "Research on Spatial Pattern and Influencing Factors of Consumption Vitality in the Middle Areas Based on POI Data——A Case Study of Hefei City" -- Research and Application of Street Lamp Construction Resource Scheduling Method in Internet of Things -- Analysis of Operation Strategies of the New Type Sharing Gymnasiums from the Perspective of Sharing Economy -- Research on "2+3+5" Teaching Innovation Model of Internet Finance Course under the Background of "Internet+".-Enterprise Entity Recognition System Based on AttentionOCR and Pointer Network -- The Necessity and Influencing Factors of Constructing a Diversified Cooperative Educational Mechanism for E-commerce Major -- Analysis on the Financial Risk Control of the Supply Chain in the E-commerce Industry -- Part 5: Data Science and Digitization -- User Preference Model of Pollution Source Information Recommendation -- An Empirical Research on the Relationship Between China’s Monetary Policy and Housing Prices in First-tier Cities -- Research on the Implementation Deviation of New Rural Construction Policies and Its Countermeasures in the Context of Rural Revitalization -- The Interaction between Land Reclamation and Geological Environment in Caofeidian Island and the Corresponding Countermeasures -- Does Vertical Integration Reduce the Risks of Corporate Finance? -- Empirical Evidence of Coal Corporates from Chinese A-Share Market -- An Empirical Comparison of the Usefulness between TOPSIS Method and Fuzzy TOPSIS Method for Personnel Selection -- Analysis on the Combination of Mental Health Education and Ideological and Political Education in Universities -- Research on Reengineering the Corporation under the Background of Big Data -- Prioritising Product Features to Refine New Product Development Process: A Case Study of Smart Glass -- ERP Components that Affect Emotional Processing -- An Overview of Relevant Studies on Emotional Words and Pictures -- An Empirical Research on College English Flipped Classroom Teaching Model Based on “Zone of Proximal Development” Theory -- CFD Correlation between Clearance Leakage and Key Parameters of Oil Well Pump -- Different Quality of Balance Evaluation System Construction Based on Beam Pumping Units -- p-value or P-value? — Normative Discrimination of Term "p-value" in Probability and Statistics -- The Path and Practice of the Integration of ZCC Technology and Digital Archives for Science and Technology -- Move Faster to Write a New Chapter in China's Integrated Urban and Rural Development -- Based on BP Neural Network of Seasonal Prediction of PM2.5 -- Measurement and Analysis of China’s Manufacturing Trade Cost to G7 Countries -- The Empirical Analysis of Financial Factors Affecting the Profitability of Listed Companies in Medical Instrument Industry -- Measurement of Export Sophistication of Various Regions in China and Analysis of Its Influencing Factors.

Abstract: This book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the Third International Conference on Decision Science and Management 2021 (ICDSM 2021), held at Hang Seng University of Hong Kong in China.

Abstract: Part 1: Problems -- Chapter 1. Transparency of Digital Providers and Digital Divide -- Chapter 2. Authorities and Private Companies in Regulating Software Technologies -- Chapter 3. Liability and Accountability in the ‘Digital’ Relationships -- Chapter 4. Social Media, Mobile Apps and Children Protection -- Part 2: Perspectives -- Chapter 5. Personal Data, Non-Personal Data, Anonymised Data, Pseudonymised Data, De-Identified Data -- Chapter 6. Personal Data As Counter-performance -- Chapter 7. Cookies and the Passive Role of the Data Subject -- Chapter 8. Data Management Tools and Privacy by Design & by Default -- Chapter 9. Reconciling Data Protection and Cybersecurity: An Operational Approach for Business Sector -- Chapter 10. Copyright and Data Protection -- Part 3: Applicable solutions -- Chapter 11. eHealth and Data -- Chapter 12. Location Data and Privacy -- Chapter 13. Rise and Fall of Tracing Apps -- Chapter 14. Privacy, Software and Insurance -- Chapter 15. IoT and Privacy.

Abstract: The aim of the book is to create a bridge between two ‘lands’ that are usually kept separate: technical tools and legal rules should be bound together for moulding a special ‘toolbox’ to solve present and future issues. The volume is intended to contribute to this ‘toolbox’ in the area of software services, while addressing how to make legal studies work closely with engineers’ and computer scientists’ fields of expertise, who are increasingly involved in tangled choices on daily programming and software development. In this respect, law has not lost its importance and its own categories in the digital world, but as well as any social science needs to experience a new realistic approach amid technological development and individuals’ fundamental rights and freedoms.

Abstract: Automated Diagnosis of Multiple Sclerosis Lesions in Brain MRI using 3D-FLAIR Acquisition -- Geographical Information System readiness assessment framework in the South African private health sector for pre to post COVID-19 pandemic management -- Analysis of Quality Website Content and Twitter Content Quality As Public Service Tools At the Local Level in DKI Jakarta Province, Indonesia -- Design and implementation of an IoT-based Electric Power Smart Meter for monitoring and control at home level -- Security Strategy and Research of Power Protection Equipment Based on SELinux -- Towards an Advanced Integrated Security Framework for Cloud Computing -- Nutrition – Mental Health Association Using Big Data Techniques -- An Optimized TWIN Battery Resource Management Scheme in IEEE 802.16e Networks -- A Content-Based Recommender System for hidden Cultural Heritage sites enhancing -- An IoT based framework for smart agriculture managing and product enhancing -- An Approach based on Context and Situation Awarenessto improve Functional Safety in Complex Scenarios.

Abstract: This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25–26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.

Abstract: Facial Image Denoising and Reconstruction -- One Method for RC5 Algorithm’s Cryptographic Strength Improving -- Multiclass Classification of Firewall Log Files Using Shallow Neural Network for Network Security Applications -- On the Possibility of Evasion Attacks with Macro Malware -- IoT-Based Smart Crop Field Monitoring and Protection System from Heavy Rainfall Utilizing Raspberry Pi.

Abstract: This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2021), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during June 2021. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.

Abstract: Automatic Notes Generation From Lecture Videos -- Correlation between Code Smells for Open Source Java Projects -- Throughput Improvement in Energy Efficient Heterogeneous Wireless Sensor Network -- Deep Learning Models for Rubik’s cube with Entropy Modelling -- Detecting Diabetic Retinopathy Using Deep Learning Technique with RESNET-50 -- Restoration of Rician Corrupted MR Data using Improved Hybrid Model -- Flight Delay Prediction using Random Forest Classifier -- A framework using Markov-Baye’s model for Intrusion Detection in Wireless Sensor Network -- Effective text comment classification using Novel ML algorithm - Modified Lazy Random Forest -- Unraveling Deep Learning Performance in Cross-Sensor Iris Recognition -- Travelling Salesman Problem Using GA-ACO Hybrid Approach: A Review -- Efficient and Robust Indian Number Plate Recognition through Modified and Tuned LPRNet -- An Improved Machine Learning Prediction Model for Diabetes.

Abstract: This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Abstract: CNN Based Feature Extraction for Visual Speech Recognition in Malayalam -- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset -- Spectral Efficiency Analysis of Massive MIMO -- Dental Cavity Detection using YOLO -- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos -- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning -- Machine Learning Techniques for Keystroke Dynamics -- Artificial Neural Network Approach for Multimodal Biometric Authentication System -- Malware Classification and Defence Against Adversarial Attacks -- Test Suite minimization based upon CMIMX and ABC -- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs -- Convolutional Neural Networks for Malaria Image Classification -- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning -- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels -- Toxic Comment Classification using Bi-Directional GRUs & CNN -- Climate Dependent Crop Management through Data Modeling -- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification -- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion -- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.

Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Abstract: 1. The Global Greyfields Transition: Why Urban Redevelopment in Low-Density, Car-Based Middle Suburbs Needs a New Model -- 2. The Greyfield Challenge to Australian Governments -- 3. Distributed Green Technologies for Regenerating Greyfields -- 4. Transport and Urban Fabrics—Moving from TODs to TACs with Greyfield Regeneration -- 5. Climate Resilience and Regeneration—How Precincts Can Adapt to and Mitigate Climate Change -- 6. Changing Attitudes to Housing and Residential Location in Cities --- The Cultural Clash and the Greyfield Solution -- 7. Planning, Design, Assessment, and Engagement Processes for Greyfield Precinct Regeneration -- 8. Integrating Transition Processes for Regenerating the Greyfields.

Abstract: This open access book outlines new concepts, development models, governance and implementation processes capable of addressing the challenges of transformative urban regeneration of cities at precinct scale.

Abstract: Introduction -- Data Analysis and Mathematical Modeling for Covid-19 Pandemic -- Influence of Covid-19 on Quality of Work Life in Real Estate Sector -- Influence of Covid-19 on Quality of Work Life in Education Sector -- Influence of Covid-19 on Quality of Work Life in Information Technology/ Software Industries -- Influence of Covid-19 on Quality of Work Life in Agriculture Sector. .

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

Abstract: Dynamic Formulation using the Decoupled Natural Orthogonal Complement (DeNOC) -- Dynamics of Serial Rigid-Flexible Robots -- Dynamics of Six-Link Spatial Robot Arms -- Dynamics of Closed-loop Systems -- Dynamics of Spatial Four-bar Mechanism -- Numerical Stability and Efficiency -- Experimental Study of Flexible System.

Abstract: This book discusses the dynamic analysis of rigid-flexible robots and multibody systems with serial as well as closed-loop architecture. The book presents a formulation of dynamic model of rigid-flexible robots based on the unique approach of de-coupling of natural orthogonal complements of velocity constraints. Based on this formulation, a computationally efficient and numerically stable forward dynamics algorithms for serial-chain and closed-loop robotic systems with rigid or flexible or rigid-flexible links is presented. The proposed algorithm is shown to be a numerically efficient for forward dynamics based on the investigation methodologies built on eigen value analytics. Precision and functionality of the simulation algorithms is presented/illustrated with application on different serial and closed-loop systems (both planar and spatial types). Some of the major robotic arms used to illustrate the proposed dynamic formulation and simulation algorithms are PUMA robot, Stanford robot arm, and Canadarm. It is envisaged that the book will be useful for researchers working on the development of rigid-flexible robots for use in defense, space, atomic energy, ocean exploration, and the manufacturing of biomedical equipment.

Abstract: This open access book consists of essays written by Kishore Mahbubani to explore the challenges and dilemmas faced by the West and Asia in an increasingly interdependent world village and intensifying geopolitical competition. The contents cover four parts: Part One The End of the Era of Western Domination. The major strategic error that the West is now making is to refuse to accept this reality. The West needs to learn how to act strategically in a world where they are no longer the number 1. Part Two The Return of Asia. From the years 1 to 1820, the largest economies in the world were Asian. After 1820 and the rise of the West, however, great Asian civilizations like China and India were dominated and humiliated. The twenty-first century will see the return of Asia to the center of the world stage. Part Three The Peaceful Rise of China. The shift in the balance of power to the East has been most pronounced in the rise of China. While this rise has been peaceful, many in the West have responded with considerable concern over the influence China will have on the world order. Part Four Globalization, Multilateralism and Cooperation. Many of the world’s pressing issues, such as COVID-19 and climate change, are global issues and will require global cooperation to deal with. In short, human beings now live in a global village. States must work with each other, and we need a world order that enables and facilitates cooperation in our global village.

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

Abstract: 1. Pricing based on product descriptions: problem, data, and methods -- 2. Extract product data from descriptions by NLP techniques -- 3. Segmentation and Quantity the qualify features -- 4. Pricing prediction using machine learning and ensemble methods -- 5. Applications & Discussions.

Abstract: This book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models. .

Abstract: Part 1: Robotics and Automation -- Chapter 1. Analysis of Mechanisms with Parallel-Serial Structure 5-DOF and Extended Working Area -- Chapter 2. Studying of Copying Control System with Nonlinear Measurer -- Chapter 3. Determination of Special Positions for Solving the Problem of Joint Relative Manipulation Mechanisms Kinematic Control -- Chapter 4. Kinematic Modeling in Study of Manipulative Mechanism of Combined Movement -- Chapter 5. Simulation of Static Walking in an Exoskeleton -- Chapter 6. Algorithm for Controlling Manipulator with Combined Array of Pressure and Proximity Sensors in Gripper -- Chapter 7. Simulation of Underwater Robot Autonomous Motion along Predetermined Straight Path -- Chapter 8. In-Pipe Modular Robot: Configuration, Displacement Principles, Standard Patterns and Modeling -- Chapter 9. Multi-criteria Optimization of the Mobile Robot Group Strategy Using the Ant Algorithm -- Chapter 10. Analysis of the Allocation and Implementation of Tasks in the Heterogeneous Team of the Collaborative Robotic System -- Chapter 11. Algorithm of Target Point Assignment for Robot Path Planning Based on Costmap Data -- Chapter 12. Feasibility of Synthesized Optimal Control Approach on a Model of Robotic System with Uncertainties -- Chapter 13. Algorithm for Calculating Coordinates of Repeaters for Combining Stationary and Mobile Devices into Common Cyber-Physical System -- Chapter 14. Simulation of Trainable Control System for Quadruped Robot -- Chapter 15. Hardware/Software Architecture for Research of Control Algorithms of a Quadcopter in the Presence of External Wind Loads.

Abstract: This book features selected papers presented at the 16th International Conference on Electromechanics and Robotics ‘Zavalishin’s Readings’ – ER(ZR) 2021, held in St. Petersburg, Russia, on April 14–17, 2021. The contributions, written by professionals, researchers and students, cover topics in the field of automatic control systems, electromechanics, electric power engineering and electrical engineering, mechatronics, robotics, automation and vibration technologies. The Zavalishin's Readings conference was established as a tribute to the memory of Dmitry Aleksandrovich Zavalishin (1900–1968) – a Russian scientist, corresponding member of the USSR Academy of Sciences, and founder of the school of valve energy converters based on electric machines and valve converters energy. The first conference was organized by the Institute of Innovative Technologies in Electromechanics and Robotics at the Saint Petersburg State University of Aerospace Instrumentation in 2006. The 2021 conference was held with XV International Conference “Vibration-2021. Vibration technologies, mechatronics and controlled machines” and VI International Conference “Electric drive, electrical technology and electrical equipment of enterprises“, and was organized by St. Petersburg State University of Aerospace Instrumentation (SUAI), St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), Southwest State University (SWSU) and Ufa State Oil Technical University (USPTU).

Abstract: Simulation of Lotka-Volterra Equations using Differentiable Programming in Julia -- Feature Selection Strategy for Multi Residents Behavior Analysis in Smart Home Environment -- A Comparative Study on Self-learning Techniques for Securing Digital Devices -- An intelligent, Geo-Replication, Energy Efficient BAN Routing Algorithm under Framework of Machine Learning and Cloud Computing -- New Credibilistic Real Option Model Based on the Pessimism-Optimism Character of a Decision-Maker -- Analysis of Road Accidents in India and Prediction of Accident Severity -- Mining Opinion Features & Sentiment Analysis with Synonymy Aspects -- Understanding Employee Attrition Using Machine Learning Techniques.

Abstract: This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Abstract: Data Science: Principles and Concepts in Data Analysis and Modelling -- Data Science: Tools, Techniques and Potential Applications in Earth Observation Studies -- Data Science in Agriculture and Natural Resource Management: An Overview -- Applications of Reinforcement Learning and Recurrent Neural Network Based Deep Learning Frameworks in Agriculture -- Precision Farming Using Emerging Technologies -- An Architecture for Quality Centric Crop Production -- Integrating UAV and Field Sensor Data for Better Decision Making in Broadacre Cropping Systems -- Object Based Crop Classification for Precision Farming -- Disruptive Innovations in Precision Agriculture - Towards BD Analytics for Better GeoFarmatics -- A Paradigm-shift in Global Cropland Maps and Products for Food and Water Security in the Twenty-first Century: Petabyte Scale Satellite Big-data Analytics, Machine Learning, and Cloud Computing -- Big Data Analytics for Climate Resilient Supply Chains: Opportunities and Way Forward -- Mapping Croplands Using Machine Learning Algorithms and Spectral Matching Techniques -- Applications of Computer Vision in Precision Agriculture -- Innovative Geoportal Platforms for Sustainable Management of Natural Resources.

Abstract: This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.

Abstract: Chapter 1: Minimizing Energy through Task Allocation using Rao-2 Algorithm in fog assisted Cloud Environment -- Chapter 2: Sensitivity Context-Aware Privacy-Preserving Disease Prediction -- Chapter 3: Designing a Smart Speaking System for Voiceless Community -- Chapter 4: ANNs for Automatic Speech Recognition – A Survey -- Chapter 5: Cyber Security in the Age of the Internet of Things: An Assessment of the Users’ Privacy and Data Security -- Chapter 6: Application of Artificial Intelligence in New Product Development: Innovative Cases of Crowdsourcing -- Chapter 7: The Effect of the Toplolgy Adaptation on Search Performance in Overlay Network -- Chapter 8: Flanker Task-based VHDR Dataset Analysis for Error Rate Prediction -- Chapter 9: Integrating University Computing Labs with AWS for Better Resource Utilization -- Chapter 10: IoT based Control of Dosa Making Robot -- Chapter 11: Classification of Idiomatic Sentences using AWD- LSTM -- Chapter 12: Developing an IoT based Data Analytics System for Predicting Soil Nutrient Degradation Level -- Chapter 13: A survey on Cloud Resources Allocation using Multi- Agent System -- Chapter 14: IoT Based Smart Helmet for Riders -- Chapter 15: Collision Avoidance in Vechicles using Ultrasonic Sensor.

Abstract: This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies.

Abstract: Chapter 1. Artificial Intelligence with New Approach of Concrete Ingredients changing in the Exact proportions -- Chapter 2. A New Approach in Cloud Environment to Improve Data Security Using Multiple Bits -- Chapter 3. Clustering Text: A comparison between available text vectorization techniques -- Chapter 4. Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-learning scheme -- Chapter 5. Virtual Mouse Control Using Finger Action -- Chapter 6. A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning -- Chapter 7. Neural Abstractive Summrizer for Telugu Language -- Chapter 8. OCR based assistive system for blind people -- Chapter 9. Modern Privacy Risks and Protection Strategies in Data Analytics -- Chapter 10. An approach towards deep learning based facial expression recognition in wavelet domain -- Chapter 11. Modified UNet Architecture with Less Number of Learnable Parameters for Nuclei Segmentation -- Chapter 12. Classification of Diseases using CBC -- Chapter 13. Post Earthquake Building Damage Detection Using Deep Learning -- Chapter 14. Ensemble of Deep Transfer Learning Models for Parkinson's Disease Classification -- Chapter 15. Energy Efficient Clustering in Real world Wireless Sensor Networks: Implementation.

Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Abstract: Hybrid Manta Ray Foraging – Particle Swarm Algorithm for PD Control Optimization of an Inverted Pendulum -- Multi-Objective Particle Swarm Optimization with Alternate Learning Strategies -- Self-Directed Mobile Robot Path Finding in Static Indoor Environment by Explicit Group Modified AOR Iteration -- Position and Swing Angle Control of Nonlinear Gantry Crane System.

Abstract: This book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.

Abstract: Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options -- Spectrum Sensing Data Falsification Attack Reputation and Q -out-of-m Rule Security Scheme -- Lean Manufacturing Tools for Industrial Process: A literature Review -- Lambda Computatrix (LC) - Towards a Computational Enhanced Understanding of Production and Management -- Behavioral Analysis of Wireless Channel under Small Scale Fading -- Towards a Framework to Address Enterprise Resource Planning (ERP) Challenges -- Potentials of Digital Business Models in the Construction Industry – Empirical Results from German Experts -- An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized using Genetic Algorithms -- Low Cost Fuzzy Control for Poultry Heating Systems -- Towards Empowering Business Process Redesign with Sentiment Analysis.

Abstract: This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25–26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.

Abstract: Investigation of Consumer Perception towards Digital Means of Food Ordering Services -- A systematic review of blockchain technology to find current scalability issues and solutions -- Secured Blind Image Watermarking using Entropy Technique in DCT Domain -- Prediction of Heart Disease using Genetic Algorithm -- Secured information infrastructure for exchanging information for digital governance -- Spiral CAPTCHA with Adversarial Perturbation and its Security Analysis with Convolutional Neural Network -- Predicting classifiers efficacy in relation with data complexity metric using under-sampling techniques -- Energy Efficient Data Transmission in Wireless Body Area Network (WBAN) -- A Survey: Approaches to Facial Detection and Recognition with Machine Learning Techniques -- An Energy and Space Efficient Trust based Secure Routing for OppIoT -- A Survey on Anomaly Detection Techniques in IoT -- Novel IoT End Device Architecture for Enhanced CIA: A Lightweight Security Approach.

Abstract: This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.

Abstract: Comparative Analysis of the Dispersion Parameters of a Microstrip Antenna for the 57-64, 64-71 and 71-76 GHz Bands -- Data Augmentation Techniques Applied to Improve a Vitiligo Database -- Bacteria Identification in Machangara River Water Capable of Metabolizing Emerging Estrone Pollutant -- Simulation of a Condenser Component of a Thermal System Driven by Solar Energy for Seawater -- Google Classroom as a Mobile and Blended Learning Strategy for Salesian Groups Training -- Model of State Spaces for Estimating the Dynamic Origin- Destination Matrix for a Public Transport Network by Applying the Kalman Filter -- Limitations and Potentialities of Organic or Non-Conventional Milk Production in Ecuador -- A Proposed Model for Electricity Demand Forecasting in Ecuador considering Akaike Criterion -- Sustainable Management Model of an Isolated Rural Electrification Project using Renewable Photovoltaic Energy -- Benchmarking of Supervised Machine Learning Algorithms in the Early Failure Prediction of a Water Pumping System -- Intelligent White Cane for Visually Impaired People based on an Ultrasonic Sensor -- Design And Implementation of a Software For Solving Wave Equations -- Smart Contracts For User Registration on Ethereum Technology: Systematic Literature Review -- Analysis of the Productivity of Pair Programming vs Solo Programming in a University Classroom -- Vibrations Associated with the Quality of Combustion Derived from Induced Failures in a Spark Ignition Engine -- Modified First Stage of French Vertical Flow Constructed Wetlands for Wastewater Treatment in Highlands: Start-up of the System.

Abstract: This book gathers high-quality papers presented at International Conference on Science, Technology and Innovation for Society (CITIS 2021), held in Guayaquil, Ecuador, on May 26–28, 2021. This book will present the recent research trends in the fields of software engineering, big data analysis, cloud computing, data engineering, data management and data mining, machine learning, deep learning, artificial intelligence, smart systems, robotics and automation, mechatronic design, and industrial processes design.

Abstract: An Event-B based Device description model in IoT with the support of Multimodal system -- Image Data Handling in a Multinode Environment Using MPI -- A TSV constrained Algorithm for Designing Balanced Wrapper Chains in 3D SoC -- An efficient algorithm for boundary detection of noisy or distorted eye pupil -- An Intelligent Scheme for Human Ear Recognition Based on Shape, Amplitude Features -- Iris-based Approach to Human Identity Recognition by Discrete Fast Fourier Transform components.

Abstract: This book features extended versions of selected papers that were presented and discussed at the 8th International Doctoral Symposium on Applied Computation and Security Systems (ACSS 2021), held in Kolkata, India, on April 9–10, 2021. Organized by the Departments of Computer Science & Engineering and A. K. Choudhury School of Information Technology at the University of Calcutta, the symposium’s international partners were Ca' Foscari University of Venice, Italy, and Bialystok University of Technology, Poland. The topics covered include biometrics, image processing, pattern recognition, algorithms, cloud computing, wireless sensor networks, and security systems, reflecting the various symposium sessions.

Abstract: Bibliometric and Review studies related to Industr4. And sustainability in Industry 4.0 -- Sustainable Additive Manufacturing Methodologies -- Frameworks, tools and techniques for Collaborative and Intelligent Networks and Decision Systems -- Tools and Techniques for Collaborative and Intelligent Networks -- Tools and techniques for Collaborative and Decision Systems.

Abstract: This book presents the select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including evolution in manufacturing, intelligent networks, bio-Inspired models and algorithms, internet-of-things, and cyber manufacturing. This book intends to provide a contribution to the domain of collaborative and intelligent networks and systems to fill the gap in theories and practical applications through suitable methods and solutions applicable to a wide range of instances. Various topics covered include broad range of research challenges in the fields of artificial intelligence and addressing current and future trends in industry 4.0 oriented scenario, data analytics and big data, operation and manufacturing management. The book will be a valuable reference for beginners, researchers and professionals interested in artificial intelligence in engineering and production management and allied fields.

Abstract: Chapter 1. Recent Trends in Interval Regression: Applications in Predicting Dengue Outbreaks -- Chapter 2. Fuzzy-Affine Approach in Dynamic Analysis of Uncertain Structural Systems -- Chapter 3. Fuzzy Application: Develop a Weather Index -- Chapter 4. Type-2 Fuzzy Linear Eigenvalue Problems with Application in Dynamic Structures -- Chapter 5. Fuzzy dynamical system in alcohol related health risk behaviors and beliefs -- Chapter 6. Curriculum Learning Based Artificial Neural Network Model for Solving Differential Equations -- Chapter 7. Analysis of EEG signal for drowsy detection: A machine learning approach -- Chapter 8. Uncertain Structural Parameter Identification by Intelligent Neural Training -- Chapter 9. Soft-Computing Tools embedded on Internet-of-Things can enhance Cyber Security -- Chapter 10. Security issues on IoT communication and evolving solutions -- Chapter 11. Causality and Its Applications -- Chapter 12. Hybrid Evolutionary Computing based Association Rule Mining -- Chapter 13. Towards Sarcasm Detection n Reviews - A dual parametric approach with Emojis and Ratings.

Abstract: This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.

Abstract: Chapter 1. A Deep Learning-based Approach with Image-driven Active Contour Loss for Medical Image Segmentation -- Chapter 2. QoS Parameter Analysis of TCP and UDP Traffic over Open flow Enabled Software Defined Network -- Chapter 3. The Challenges of Data Analytics Implementations: A Preliminary Literature Review -- Chapter 4. In depth opinion mining and sentiment analysis of Twitter data -- Chapter 5. An Extensive Review on: Low Noise Amplifier for Millimeter and Radio Frequency Waves -- Chapter 6. UWB applications and bird eye view on high frequency LNA applications -- Chapter 7. Ocean Wave Modeling from Satellite images using Data Assimilation -- Chapter 8. Design of a Laser Projection System for Intelligent Learning Environments -- Chapter 9. Medical Image Enhancement: A Review -- Chapter 10. A Computer Vision Approach Towards Maturity Stage Classification of Tomatoes Using Second Order Wavelet Features -- Chapter 11. Vigorous deep learning models for identifying tomato leaf diseases -- Chapter 12. Automatic distres analysis using Text Mining -- Chapter 13. Prediction of student’s performance in an academic using data science and machine learning -- Chapter 14. Performance Enhancement by Tuning Hyperparameters of Random Forest Classifier for Hardware Trojan Detection -- Chapter 15. Low Complexity Hybrid Beamforming Technique for Massive MIMO System.

Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Abstract: Chapter 1. A Bio-inspired Based Degree Constrained MST Algorithm for Cognitive Radio Networks -- Chapter 2. Faceless, Cashless & Paperless Scheme for Farmer?- Implementation of Mukhya Mantri Krishi Ashirvard Yojana (MMKAY) in the State of Jharkhand through ICT: A Case Study -- Chapter 3. Extraction of Clean Speech Along with 2 Emphasis on Essential Noise -- Chapter 4. A model-based System for Intrusion Detection using Novel Technique-Hidden Markov Bayesian in Wireless Sensor Network -- Chapter 5. Analysis of academic performance based on hierarchical clusters: First notes -- Chapter 6. Application of hierarchical clusters to obtain legal reference structures -- Chapter 7. COVID-19 Cases - Deaths: First approach to the Ecuadorian Instance -- Chapter 8. Traffic Rules Violation Detection System -- Chapter 9. Effectiveness of Online Shopping Advantages of Healthy Food Products on Consumer Buying Behaviour -- Chapter 10. Robots and Artificial Intelligence: An aid to dependent people -- Chapter 11. Predicting Performance of Students Considering Individual Feedback at Online Learning using Logistic Regression Model -- Chapter 12. Survey of NLP Resources in Low Resource Languages Nepali, Sindhi and Konkani -- Chapter 13. Cyber-Physical System – An Architectural Review -- Chapter 14. ICT Based Intelligent Control of a Bio-gas Plant -- Chapter 15. Machine Learning Techniques for Music Genre Classification.

Abstract: This book contains the best selected research papers presented at ICTCS 2020: Fifth International Conference on Information and Communication Technology for Competitive Strategies. The conference was held at Jaipur, Rajasthan, India, during 11–12 December 2020. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security. .

Abstract: Chapter 1. CNN parameter adjustment for brain tumor classification -- Chapter 2. Advance Fuzzy Radial Basis Function Neural Network -- Chapter 3. Unbounded Fuzzy Radial Basis Function Neural Network Classifier -- Chapter 4. A study on the adaptability of Deep Learning-based Polar coded NOMA in Ultra-Reliable Low-Latency Communication Scenario -- Chapter 5. Heart Rate Variability based Mental Stress Detection using Deep Learning Approach -- Chapter 6. Product Based Market Analysis using Deep Learning -- Chapter 7. Driver drowsiness detection using Deep-Learning Chapter 8. Emotion detection from social media-based using machine learning techniques: A Survey -- Chapter 9. Deep age estimation using sclera images in multiple environment -- Chapter 10. Data Handling Approach for Machine Learning in Wireless Communication: A Survey -- Chapter 11. Breast cancer detection in mammograms using deep learning -- Chapter 12. Deep learning based Parameterized Framework to investigate the influence of Pedagogical Innovations in Engineering Courses -- Chapter 13. Modern Transfer Learning based preliminary diagnosis of COVID-19 using forced cough recordings with Mel-frequency cepstral coefficients -- Chapter 14. Biomedical Text Summarization: A Graph Based Ranking Approach -- Chapter 15. EEG based Diagnosis of Alzheimer's Disease Using Kolmogorov Complexity.

Abstract: This book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.

Abstract: Chapter 1. Deep Learning based Approach for Parkinson’s Disease Detection using Region of Interest -- Chapter 2. Classification of Class Imbalanced Diabetic Retinopathy Images using the Synthetic Data Creation by Generative Models -- Chapter 3. A Novel Leaf-fragment Dataset and ResNet for Small-scale Image Analysis -- Chapter 4. Prediction of Covid 19 Cases based on Weather Parameters -- Chapter 5. CloudML: Privacy-Assured Healthcare Machine Learning Model for Cloud Network -- Chapter 6. Performance Evaluation of Hierarchical Clustering Protocols in WSN using MATLAB -- Chapter 7. Speech Recognition using Artificial Neural Network -- Chapter 8. Multi-Objective Optimization for Dimension Reduction for Large Datasets -- Chapter 9. Modified Leader Algorithm for Under-sampling the Imbalanced Dataset for Classification -- Chapter 10. Weather Divergence of Season Through Regression Analytics -- Chapter 11. A Case Study of Energy Audit in Hospital -- Chapter 12. The Comparison Analysis of Cluster and Non- Cluster Based Routing Protocols for WAPMS (Wireless Air Pollution Monitoring System) -- Chapter 13. Frequent Itemset Mining Algorithms–A Literature Survey -- Chapter 14. Impact of Segmentation Techniques for Conditıon Monitorıng of Electrical Equipments from Thermal Images -- Chapter 15. A Detailed Survey Study on Various Issues and Techniques for Security and Privacy of Healthcare Records.

Abstract: This book features research papers presented at the 4th International Conference on Intelligent Sustainable Systems (ICISS 2021), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 26–27, 2021. The book discusses the latest research works that discuss the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry.

Abstract: Automatic Removal of Eye Blink Artefacts from EEG Data using Spatio-Temporal Features -- Autoencoder Based Model for Detecting Accounting Statement Fraud -- Increase In Mental Health Cases Post Covid Outbreak -- A Data Mining Approach to Anticipate Fear of Human's Mind During COVID-19 Outbreaks -- Evolutionary Algorithms for Face Recognition with Mask -- Stock Price Prediction using Reinforcement Learning -- Forecasting of PM10 using Intelligent Crow Search Algorithm tuned Feed Forward Neural Network -- A Hybrid Fusion Based Algorithm for Underwater Image Enhancement using Fog Aware Density Evaluator and Mean Saturation -- Computer Vision with Deep Learning Techniques for Neurodegenerative Diseases Analysis using Neuroimaging: A Survey -- Implementation of A Smart Helmet with Alcohol and Fall Detection and Navigation System.

Abstract: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Abstract: Techniques of Time Series Modeling in Complex Systems -- Examining the Server’s Load Average when Trying to Attack the Firewall -- Block Chain as a Technology Contributor: A Survey -- An Achievement of Learning a Solar System Model with Electric Motor Rotation via Control System on Smartphone -- GeLaP: German Labeled Dataset for Power Consumption -- Smart Platform Designed to Improve Poultry Productivity and Reduce Greenhouse Gas Emissions -- RPL-OC: Extension of RPL Protocol for LLN Networks based on the Operator Calculus approach -- Evaluating Challenges in Using Big Data in Healthcare -- Hardware Control of the Electron Beam Energy Density by the Heating Spot -- A Machine Learning Model for Predicting Fetal Haemoglobin Levels in Sickle Cell Disease Patients.

Abstract: This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25–26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.

Abstract: Technology evolvement in mechanical harvest of fresh market apples -- Design, test, and improvement of a low-cost fresh market apple harvest-assist unit -- Economic evaluation of a low-cost fresh market apple harvest-assist unit -- Ergonomic analysis of a low-cost fresh market apple harvest-assist unit -- Development, evaluation and improvement of apple infield grading and sorting systems -- Development, test, and improvement of an infield use bin filler -- Economic analysis of an apple harvest and infield sorting machine -- Comparison and evaluation of apple harvesting process under different harvest methods. .

Abstract: This book presents the progress, changes, and evolvement for apple mechanical harvest during the past decades, which include, but not limited to, bulky harvest method, harvest platform, apple infield sorting, and harvest robotics. Though there are significant progresses in apple harvest robotics, there still is a long way ahead before its practical applications, with existing and potential bottlenecks described in this book. Hence, other researchers would take advantage of this book to have a hint of the apple mechanical harvest history and state-of-the-art progress, so that they can find the room for their new research. This book targets senior undergraduates and more importantly graduate students in the field of agricultural engineering, sensing, automatic, and robotics.

Abstract: Internet of Things-based Animal Health Monitoring and Management -- Cryptanalysis of an Authentication and Key Management Scheme in Context of Generic Hierarchical IoT Network -- Personalized Smart Recommendation System for Industrial Internet of Things -- IoT Based Anti-Poaching Technology to Save Wildlife -- GeoLens: Geospatial Location Exploration Using Mobile Crowdsensing in Tourism 4.0: A case study of Kunjanagar, Falakata, West Bengal -- IoT Cloud System for Streetlights Monitoring based on Solar Energy using ESP32 -- Smart Vehicle Management System using Internet of Vehicles (IoV) -- IoT Based Real Time HRV Performance Analysis -- Implementation of Acoustic Source Localization on Edge-IoT Platform -- Internet of Things Platform for Advantageous Renewable Energy Generation.

Abstract: This book gathers selected high-quality research papers presented at the 2nd International Conference on Advanced Computing Applications (ICACA 2021), held virtually during 27––28 March 2021. The book is divided into four sections. These are communication and computing, signal processing and multimedia, computational intelligence and data analytics and decision computing. The topics covered are advanced communication technologies, IoT-based systems and applications, network security and reliability, virtualization technologies, compressed sensors and multimedia applications, signal image and video processing, machine learning, pattern recognitions, intelligent computing, big data analytics, analytics in bio-computing, AI-driven 6G mobile wireless networks and autonomous driving.

Abstract: Design of Portable Integrated Sensor System for Local Monitoring of Climate Change -- DC and Noise Analysis of Si based DDR IMPATTs at Ka Band -- IoT-based Laser-inscribed sensors for Electrochemical Detection of Phosphate Ions -- An Improved Decision Support System for Automated Sleep Stages Classification based on Dual-Channels of EEG signals -- Monitoring of automotive response based on starter motor fault -- An IOT based architecture for edge computing to reduce the latency and bandwidth for streaming data application.

Abstract: This book includes the original, peer-reviewed research articles from the International Conference on Computational Intelligence and Computing (ICCIC 2020), held in September 2020 on a virtual platform jointly organized by SR Group of Institutions, Jhansi, India, IETE, Kolkata Centre, India, and Eureka Scientech Research Foundation, Kolkata India. It covers the latest research in image processing, computer vision and pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, artificial neural networks, fuzzy logic, evolutionary optimization, rough sets, web intelligence, intelligent agent technology, virtual reality, and visualization.

Abstract: Chapter 1. Mitigating the Latency Induced Delay in IP Telephony through an Enhanced De-Jitter Buffer -- Chapter 2. A Cyber – Safety IoT Enabled Wearable Microstrip Antenna for X – Band applications -- Chapter 3. Keyword Recognition from EEG Signals on Smart Devices a Novel Approach -- Chapter 4. Security Analysis for Sybil Attack in Sensor Network using Compare and Match-Position Verification Method -- Chapter 5. Certain Strategic Study on Machine Learning based Graph Anomaly Detection -- Chapter 6. Machine Learning Perspective in VLSI Computer Aided Design at Different Abstraction Levels -- Chapter 7. A Practical Approach to Measure Data Center Efficiency using Power Usage Effectiveness -- Chapter 8. Advancing e-Government using Internet of Things -- Chapter 9. A New Network Forensic Investigation Process Model -- Chapter 10. MDTA : A New Approach of Supervised Machine Learning for Android Malware Detection And Threat Attribution using Behavioral Reports -- Chapter 11. Investigating the role of user Experience and Design in Recommender Systems: A Pragmatic Review -- Chapter 12. A Review on Intrusion Detection Approaches in Resource Constrained IoT Environment -- Chapter 13. The Future 5G Mobile Network Performance in Webservices with NDN Technology -- Chapter 14. Survey for Electroencephalography EEG signals Classification Approaches -- Chapter 15. Analysis of Road Accidents using Data Mining Paradigm.

Abstract: This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29–30 January 2021. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.

Abstract: Optimal Sizing and Siting of Distributed Generation for Losses Minimization in Distribution System using Fractional Lévy Flight Bat Algorithm -- Performance Analysis of a Standalone Inverter System under Variable Loading Conditions -- Performance Study of a Wind-Battery based Islanding System -- Fabric Defect Detection Using Computer Vision -- Energy Audit and Advancement of Solar Installation in SIT: A Case Study -- Random Fault Positioning Based Voltage Sag Assessment for a Large Power Transmission Network -- Feasibility Analysis of SEPIC Converter as a PV Balancer for Practical Photovoltaic System -- Market Clearing Mechanism by Optimal Scheduling of Electric Power Suppliers -- Anti Camcorder Piracy Display System -- Performance Evaluation of HAWT and VAWT based WECS with Advanced Hill Climb Search MPPT and Fuzzy Logic Controller for Low Wind Speed Regions.

Abstract: This book is a collection of high-quality research papers presented at the International Conference on Smart and Intelligent Systems (SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC), Andhra Pradesh, India, during February 25–26, 2021, in virtual mode. It highlights how recent informatics intelligent systems have successfully been used to develop innovative smart techniques and infrastructure in the field of modern engineering and technology. The book will also be of interest to those working in the field of computational intelligence, smart computer network and security analysis, control and automation system, cloud computing, fog computing and IoT, smart grid communication, smart cities, solar cell synthesis and their performance, green technology, and many more. The contents of this book prove useful to researchers and professionals.

Abstract: Introduction to Data Science -- Data Collection and Preparation -- Data Analysis and Machine learning Algorithms -- Data Visualization Tools and Data Modelling -- Data Science in Information, Communication and Technology -- Data Science in Civil & Mechanical Engineering -- Data Science in Clinical Decision System -- Conclusions.

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

Abstract: DTNMA: Identifying Routing Attacks in Delay-Tolerant Network -- Classification Framework for Fraud Detection Using Hidden Markov Model -- Analysis of the Beaufort Cipher Expansion Technique and Its Usage in Providing Data Security in Cloud -- Virtual Keyboard Using Image Processing & Computer Vision -- Next Step to the Future of Restaurants Through Artificial Intelligence and Facial Recognition -- A Comparative Study into Stock Market Prediction Through Various Sentiment Analysis Algorithms -- Bangla Document Categorization Using Deep RNN Model with Attention Mechanism -- Bangla Handwritten Digit Recognition -- A Comparative Study on Sentiment Analysis Influencing Word Embedding Using SVM and KNN -- COVID-19 Pandemic Diagnosis and Analysis Using Clinical Decision Support Systems -- Predictive Analysis of the Recovery Rate from Corona Virus(Covid-19) -- Deep Learning Approaches for Spatio-Temporal Clues Modelling -- The Practical Enactment of Robotics and Artificial Intelligence Technologies in E-COMMERCE -- Comparative Analysis of Brain Tumor Segmentation with Fuzzy C-Means Using Multi-Core CPU and CUDA on GPU -- Multiregional Segmentation of High-Grade Glioma Using Modified Deep UNET Model with Edge-detected Multimodal MRI Images.

Abstract: This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher-order neural computing, rough set and fuzzy set theory, and nature-inspired computing techniques. .

Abstract: Design and Development of Spherical Amphibian Vehicle (SAV) -- Modelling Analysis of a Bio-Inspired Triangular Underwater Robot for Aquaculture Biofouling Cleaning -- Modelling Analysis of Spherical Underwater Robot for Aquaculture Biofouling Cleaning -- Acoustic Waves Propagation in Seawater Using Low Profile Multiple Obstacles -- Implementation of Deaf-Blind-Dysgraphia Communication Technique for Disabled Students in Somalia -- Spherical Amphibian Robot Design with Novel Driving Principle -- Performance Analysis of Particle Filter Localization Algorithm for Mobile Robot -- Overview of Underwater Communication Technology -- State of the Art Review on Autonomous Surface Vehicle Maneuvering Assessment -- Design Issues and Challenges of Long-Range Ultrasonic Testing (LRUT) for Pipeline Inspection.

Abstract: This book comprises the proceedings of the 12th National Technical Symposium on Unmanned System Technology 2020 (NUSYS’20) held on October 27–28, 2020. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.

Abstract: Alleviating the Issues of Recommendation System through Deep Learning Techniques -- Communication Assistant using IoT based Device for People with Vision, Speech and Hearing Disability -- An Optimized Object Detection System For Visually Impaired People -- Sentiment Analysis of Zomato and Swiggy food delivery management system -- Text Similarity Identification based on CNN and CNN-LSTM Model -- Survey Based on Configuration of CubeSats Used for Communication Technology -- Ontology Driven Software Development for better Understanding and Maintenance of Software System -- Application of Genetic Algorithm (GA) in Medical Science: A Review -- Designing a Machine Learning Model to Predict Parkinson’s disease from Voice Recordings -- Prediction Techniques for Maintenance of Marine Bilge Pumps onboard ships.

Abstract: This book gathers high-quality papers presented at the Second International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2021) held at Graphic Era University, Dehradun, India, during May 22–23, 2021. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.

Abstract: Survey and Discussion -- Control Theory and Analysis -- Intelligent Computing, Communication and Control -- New Methods of Navigation, Estimation and Tracking -- Guidance, Navigation and Control of Aircraft -- Guidance, Navigation and Control of Spacecraft -- Guidance, Navigation and Control of Other Moving Objects -- Control of Multiple Moving Objects -- Man and Autonomous Unmanned Systems -- Guidance, Navigation and Control of Miniature Aircraft -- Sensor Systems for Guidance, Navigation and Control -- Advanced Design / Simulation Software.

Abstract: This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircraft. It covers a range of topics, including, but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation, and control. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.

Abstract: Qualitative-Naturalistic Research Route. A Meta-analytical Alternative for Management Studies: Work Satisfaction in Factories -- Cybersecurity in Smart Cities - Technology and Data Security in Intelligent Transport Systems -- Youth Associations in Academia: Their Implications for the Creation and Development of an Entrepreneurial Profile -- Modular Educational Ecosystem as Academic Support During Covid-19 Emergency at Mexico City-IPN in 2020 -- The Incidence of Abuse and School Harassment Among Foreign and Spanish Students in Extremadura -- Tití App, An Interactive Psycho-Pedagogical Recovery Tool: A Pilot Study -- Accessibility and Usability in Learning Objects -- Museum, School and Augmented Reality a Way to Pre-serve the Ethno Identity of an Ancestral Culture -- Multinomial Logistic Regression Model for Prioritization of COVID-19 Vaccination in Portoviejo – Ecuador -- Visual Metrics for Educational Videogames Linked to Socially Assistive Robots in an Inclusive Education Framework.

Abstract: This book presents high-quality, peer-reviewed papers from the International Conference in Information Technology & Education (ICITED 2021), to be held at the ESPM – Higher School of Advertising and Marketing, Sao Paulo, Brazil, between the 15th and the 17th of July 2021. The book covers a specific field of knowledge. This intends to cover not only two fields of knowledge – Education and Technology – but also the interaction among them and the impact/result in the job market and organizations. It covers the research and pedagogic component of Education and Information Technologies but also the connection with society, addressing the three pillars of higher education. The book addresses impact of pandemic on education and use of technology in education. Finally, it also encourages companies to present their professional cases which is discussed. These can constitute real examples of how companies are overcoming their challenges with the uncertainty of the market.

Abstract: Introduction -- Linear Algebra and Polynomial Matrices -- Representation of Linear System Models -- Identification of LTI Systems -- Blind Identification of SIMO FIR Systems -- Blind Identification of SISO IIR Systems via Oversampling -- Distributed Blind Identification of Networked FIR Systems -- Blind Identification of MIMO Systems -- Blind Identification of Structured State-Space Models -- Blind Local Identification of Large-Scale Networked Systems -- Conclusions.

Abstract: This book is intended for researchers active in the field of (blind) system identification and aims to provide new identification ideas/insights for dealing with challenging system identification problems. It presents a comprehensive overview of the state-of-the-art in the area, which would save a lot of time and avoid collecting the scattered information from research papers, reports and unpublished work. Besides, it is a self-contained book by including essential algebraic, system and optimization theories, which can help graduate students enter the amazing blind system identification world with less effort.

Abstract: Chapter 1. Feature Selection using Multiple Ranks with Majority Vote Based Relative Aggregate Scoring Model for Parkinson Dataset -- Chapter 2. Performance Enhancement of Fractional PI^λ D^μ Controllers using Modified Grey Wolf Optimization -- Chapter 3. Evaluation of Intent Classification Models on Frequently Asked Railway Queries -- Chapter 4. On Cost Analysis of New Crossbar Interconnection Network -- Chapter 5. A Review on Pattern Recognition based Retinal blood vessels extraction technique to detect Diabetic Retinopathy (DR) -- Chapter 6. Multiband Reconfigurable Antenna Design with Frequency, Polarization and Pattern diversities -- Chapter 7. Issues and Framework of Rules for Resolving Anaphora in Marathi Text -- Chapter 8. Investigation on Customer Churn Prediction using Machine Learning Techniques -- Chapter 9. Key object classification for Activity Recognition in tennis using cognitive approach in Mask RCNN -- Chapter 10. BioGamal Privacy Preserving Public Auditing for Cloud Computing -- Chapter 11. Analysis of Intelligent Fuzzy Logic MPPT for Hybrid PV-Wind Energy System -- Chapter 12. Fusion Based Feature Extraction Approach for Recognition of Handwritten Devnagari Numerals -- Chapter 13. Analysis of independence and Clustering pattern of students in adopting MOOCs -- Chapter 14. Enhancing Monitoring in Online Exams using Artificial Intelligence -- Chapter 15. Emergent use of AI and Social Media for Disaster Management.

Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Abstract: Trusted IoT Framework -- Utility-Oriented Pattern Analytic and Mining Techniques -- AI in Cyber Security: A boon & a bane -- Cleanroom Computing – Building Efficient and Secure Network Services -- Models and Methods of Design of Knowledge Based Fuzzy Neural Networks -- Seeing Is Believing -- Green Skyline Cities by Intelligent Rooftop Greenhouses -- The Unreasonable Effectiveness of Moore-Shannon Hammocks -- Designing Optical Sensors for the Internet of Things Era -- Adaptive density peak algorithm based on K-nearest neighbors with pre-screening strategy.

Abstract: This book constitutes the Proceeding of the Sixth International Conference on Intelligent Data Analysis and Applications, October 15–18, 2019, Arad, Romania. This edition is technically co-sponsored by “Aurel Vlaicu” University of Arad, Romania, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology), China, Romanian Academy, and General Association of Engineers in Romania - Arad Section. The book covers a range of topics: Machine Learning, Intelligent Control, Pattern Recognition, Computational Intelligence, Signal Analysis, Modeling and Visualization, Multimedia Sensing and Sensory Systems, Signal control, Imaging and Processing, Information System Security, Cryptography and Cryptanalysis, Databases and Data Mining, Information Hiding, Cloud Computing, Information Retrieval and Integration, Robotics, Control, Agents, Command, Control, Communication and Computers (C4), Swarming Technology, Sensor Technology, Smart cities. The book offers a timely, board snapshot of new development including trends and challenges that are yielding recent research directions in different areas of intelligent data analysis and applications. The book provides useful information to professors, researchers, and graduated students in area of intelligent data analysis and applications. .

Abstract: SARS-CoV-2 variants: Past, present and future -- COVID-19 pandemic and behavioral change: The cases of Florida and Ohio -- Integrating social sciences to mitigate against covid -- Re-thinking the infodemic: Social media and offline action in the COVID-19 pandemic -- Mapping COVID-19 in Japan and greater Tokyo area, socio-spatial and political analysis of the epidemic -- Application of SARS-CoV-2 serology testing: A case study.

Abstract: This open access book presents the first step towards building socio-life science, a field of science investigating humans in such a way that both social and life-scientific factors are integrated. Because humans are both living and social creatures, a human action can never be understood fully without knowing both the biological traits of a person and the social scientific environments in which he exists. With this consideration, the editors of this book have initiated a research project promoting a deeper and more integrated understanding of human behavior and human health. This book aims to show what can, and could be, achieved through our interdisciplinary project. One important product is the newly formed three-party collaboration between Pasteur Institut, Kyoto University, and the Research Institute of Economy, Trade and Industry. Covering many different fields, including medicine, epidemiology, anthropology, economics, sociology, demography, geography, and policy, researchers in these institutes, and many others, present their studies on the COVID-19 pandemic. Although based on different methodologies, the studies show the importance of behavioral change and governmental policy in the fight against a huge pandemic. The book explains the unique genome cohort–panel data that the project builds to study social and life scientific aspects of humans.

Abstract: Unconstrained Power Management Algorithm for Green Cloud Computing -- An Efficient Load Balancing System with Resource Failure -- Energy-Aware Service Management in Vehicular Cloud Computing.

Abstract: This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.

Abstract: Introduction -- Nonlinear stability control of steer-by-wire system -- Consistency optimization control of electro-hydraulic composite brake-by-wire system -- Decoupling control of nonlinear inverse system for chassis-by-wire system -- Nonlinear rollover prevention integrated control of chassis-by-wire system.

Abstract: This book belongs to the field of intelligent vehicle control, which is dedicated to the research of nonlinear control problems of intelligent vehicle chassis-by-wire systems. Through the nonlinear stability control of the steer-by-wire system and the consistency optimization control of the brake-by-wire system, the performance of the vehicle subsystem is improved. Then, the decoupling control of the nonlinear inverse system is used to realize the decoupling of the chassis-by-wire system. Finally, this book further adopts nonlinear rollover prevention integrated control to improve the rollover prevention performance of the vehicle.

Abstract: Development of a Posture Corrector Device with Data Analysis System -- Automated Modulated Parameter Implementation Using Neural Network For Enhancement Of Paint Spray -- A Novel Voice-activated Smart Irrigation System Implementation & Analysis using Internet of Things.

Abstract: This book presents the proceedings of SympoSIMM 2021, the 4th edition of the Symposium on Intelligent Manufacturing and Mechatronics. Focusing on “Strengthening Innovations Towards Industry 4.0”, the book is divided into five parts covering various areas of manufacturing engineering and mechatronics stream, namely, intelligent manufacturing and artificial intelligence, Instrumentation and control, design modelling and simulation, process and machining technology, and smart material. The book will be a valuable resource for readers wishing to embrace the new era of Industry 4.0. .

Abstract: Analysis of Structural Bias in Differential Evolution Configurations -- Spherical Model of Population Dynamics in Differential Evolution -- Reinforcement Learning-based Differential Evolution for Global Optimization -- Analytical Study on the Role of Scale Factor Parameter of Differential Evolution Algorithm on its Convergence Nature -- The Trap of Sisyphus Work in Differential Evolution and How to Avoid It -- Investigations on Distributed Differential Evolution Framework with Fault Tolerance Mechanisms -- Differential Evolution for Water Management Problems -- Sobol Sequence Based MOSADE Algorithm for Multi-Objective Design of Water Distribution Networks -- A Comparative Study on Parameter Estimation of Covid Epidemiological Models using Differential Evolution Algorithm -- Applications of Differential Evolution in Electric Power Systems -- Detection of Heavy Sandstorm Regions using Composite Differential Evolution Algorithm -- A Hybrid Artificial Differential Evolution Gorilla Troops Optimizer for High Dimensional Optimization Problems.

Abstract: This book addresses and disseminates state-of-the-art research and development of differential evolution (DE) and its recent advances, such as the development of adaptive, self-adaptive and hybrid techniques. Differential evolution is a population-based meta-heuristic technique for global optimization capable of handling non-differentiable, non-linear and multi-modal objective functions. Many advances have been made recently in differential evolution, from theory to applications. This book comprises contributions which include theoretical developments in DE, performance comparisons of DE, hybrid DE approaches, parallel and distributed DE for multi-objective optimization, software implementations, and real-world applications. The book is useful for researchers, practitioners, and students in disciplines such as optimization, heuristics, operations research and natural computing.

Abstract: 1. NLP Based Resume Screening & Job Recruitment Portal -- 2. Access Control and Authorization Techniques w.r.t. Client Applications -- 3. Anomaly Detection In Biomedical Data and Image Using Various Shallow and Deep Learning Algorithms -- 4. Quantum Generative Adversarial Networks -- 5. Sentimental Analysis For E-commerse Site -- 6. A Novel Approach to Apply Different Algorithms to Predict Covid-19 Disease -- 7. Gene regulation via Bloom filter -- 8. A Novel Survey on Ubiquitous Computing -- 9. Emotion Recognition in Speech using Convolutional Neural Networks.

Abstract: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 16–17, 2021. This book discusses new cognitive informatics tools, algorithms, and methods that mimic the mechanisms of the human brain which leads to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning, and cognitive science to study and develop a deeper understanding of the information processing systems.

Abstract: Neural Artistic Style Transfer using Deep Neural Networks -- Choice Based One-Time Pad Approach Using Hybrid Cellular Automata -- Novel Imaging Approach for Mental Stress Detection using EEG Signals -- Classification of Fundus Images for Diabetic Retinopathy using Machine Learning: A Brief Review -- Wearable Sensor and Machine Learning Model based Fall Detection System for Safety of Elders and Movement Disorders.

Abstract: This book gathers high-quality papers presented at Academia-Industry Consortium for Data Science (AICDS 2020), held in Wenzhou, China during 19 – 20 December 2020. The book presents views of academicians and also how companies are approaching these challenges organizationally. The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.

Abstract: 1. Introduction -- 2. The City and Its Other: A Brief Historical Geography -- 3. Housing and the Political Economy of Urban China -- 4. Chengzhongcun and Its Residents: Empirical Findings -- 5. Resistance, Public Art and Citizenship -- 6. Slum Tourism: Towards Inclusive Urbanism? -- 7. Conclusion.

Abstract: This book offers a concise and yet diverse study on the Chengzhongcun. It has a broader scope, both geographical and temporal, than existing works on this topic. The typical Chinese urban informal settlement is related to morphologically similar communities to be found elsewhere in the world. The chapters’ themes were inspired by the methods in historical geography, citizenship studies, and new cultural geography. What is truly unique to this book is that ten years after the basis material of this book was defended, it is enriched with practical experience and first-hand observations of the rapidly changing Chinese city. As urbanization in China slows, this book will interest sociologists, urbanists and scholars of China. Yannan Ding is Associate Professor at the Centre for Historical Geography Studies at Fudan University, Shanghai, China.