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: 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. 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. 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: Gravitational Energy; Aerospace's Future Technology -- Entropy Detection Based Spectrum Sensing in Frequency Domain under Noise Uncertainty for Cognitive Radios Networks -- Detecting Semantic Social Engineering Attack in the Context of Information Security -- IS Risks Governance for Cloud Computing Service -- Blockchain Technology in Cloud Computing: Challenges and Open Issues -- Micro-Energy Systems (MESs); Modeling and Optimal Operating Based on NSGA-II -- Hybrid Cryptography for Cloud Security: Methodologies and Designs -- A Study of Sentiment Analysis Approaches in Short Text -- Teleportation; Next Leap to Outer Space -- Practical Comparison Between the LR(1) Bottom Up and LL(1) Top Down Methodology.

Abstract: This book is a collection of best-selected research papers presented at the Second World Conference on Internet of Things: Applications & Future (ITAF 2020) organized by Global Knowledge Research Foundation during 16 – 17 December 2020. It includes innovative works from researchers, leading innovators, business executives and industry professionals to examine the latest advances and applications for commercial and industrial end users across sectors within the emerging Internet of things ecosphere. It shares state-of-the-art as well as emerging topics related to Internet of things such as big data research, emerging services and analytics, Internet of things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies and open and cloud technologies.

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: Cognitive-inspired computing fundamentals -- Cognitive-inspired computing systems -- Cognitive-inspired computing with big data -- Cognitive-inspired intelligent interaction -- AI-assisted cognitive computing approaches -- Brain analysis for cognitive-inspired computing -- Internet of cognitive Things -- Cognitive environment, sensing and data -- Cognitive robots and agents -- Security issue in cognitive-inspired computing -- Test-bed, prototype implementation and applications.

Abstract: This book contains papers presented at the International Conference on Cognitive based Information Processing and Applications (CIPA) held during August 21, 2021, online conference (since COVID 19), which is divided into a 2-volume book. The papers in the first volume represent the various technological advancements in network information processing, graphics and image processing, medical care, machine learning, smart cities. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and information processing.

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: 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: Chapter 1. Examining the Deviation in Energy Saving Estimations Due to the Use of the Degree Days Method -- Chapter 2. Impact of Climate Zone and Orientation Angle on the Recurring Massing School Typologies in Turkey -- Chapter 3. Analysis of the influence of aerodynamic Roughness on Urban Vertical Space form: an example of Shenzhen central area -- Chapter 4. Assessing the impact of lockdown due to COVID-19 on the electricity consumption of a housing development in the UK -- Chapter 5. Embodied energy and global warming potential of radon preventive measures applied in new family houses -- Chapter 6. Automatic Architectural Drawing Labelling using Deep Convolutional Neural Network -- Chapter 7. The response of the Italian healthcare facilities to the COVID-19 pandemic: analysis of national and regional legislation -- Chapter 8. Evaluation of Circular Construction Works During Design Phase: An Overview of Valuation Tools -- Chapter 9. Landscape Integrated Photovoltaic System for a Solar Island in the Venetian Lagoon -- Chapter 10. Leaving or sheltering? A simulation-based comparison of flood evacuation strategies in urban built environments -- Chapter 11. Numerical assessment of the impact of roof albedo and thermal resistance on urban overheating: A case study in southern Italy -- Chapter 12. The value of the colour temperature in a low light intensity design -- Chapter 13. A methodology for fast simulation of energy retrofitting scenarios of social building stock -- Chapter 14. Flood risk of Open Spaces: from microscale factors of Built Environment to risk reduction strategies -- Chapter 15. Low-cost architectural strategies to reduce heat stress in social housing for hot desert climates.

Abstract: This book contains the proceedings of the 13th KES International Conference on Sustainability and Energy in Buildings 2021 (SEB2021) held in Split, Croatia, during 15–17 September 2021 organized by KES International. SEB21 invited contributions on a range of topics related to sustainable buildings and explored innovative themes regarding sustainable energy systems. The conference formed an exciting chance to present, interact and learn about the latest research and practical developments on the subject. The conference attracted submissions from around the world. Submissions for the Full-Paper Track were subjected to a blind peer-review process. Only the best of these were selected for presentation at the conference and publication in these proceedings. It is intended that this book provides a useful and informative snapshot of recent research developments in the important and vibrant area of sustainability in energy and buildings. .

Abstract: Smart Healthcare Analytics in IoT enabled Environment: An overview -- Neuronal reconstitution effect of stem cell transplantation for smart healthcare after focal cerebral ischemia -- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques -- Resource Management Challenges in IoT based healthcare system -- A Comprehensive and Analytical Study of Smart Healthcare with IoT -- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products -- Study and Impact Analysis of Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data -- A Review of Flying Robot Applications in Healthcare -- Application of Deep Learning in Biomedical Informatics and Healthcare -- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis -- The relationship between SNS fatigue, SNS immersion and social support recognized by SNS due to smart intelligence -- Factors Affecting Attitudes toward Death of Korean Nursing College Students; Including Spiritual Well-being for Smart healthcare -- Development of smart healthcare cosmetic ingredients using lactic acid fermented coffee -- Ranking of SARS-CoV-2 Vaccines with reference to India -- RFID based Patient Billing Automation Using Internet of Things (IoT).

Abstract: This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

Abstract: Deep Rapid Class Augmentation; a New Progressive Learning Approach that Eliminates the Issue of Catastrophic Forgetting -- A Comprehensive Analysis of Subword Contextual Embeddings for Languages with Rich Morphology -- RGB and Depth Image Fusion for Object Detection using Deep Learning -- Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis -- A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks -- Deep Learning based Time Series Forecasting -- DEAL: Deep Evidential Active Learning for Image Classification -- LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi[1]class Classification -- Efficient Deployment of Deep Learning Models on Autonomous Robots in the ROS Environment -- Building Power Grid 2.0: Deep Learning and Federated Computations for Energy Decarbonization and Edge Resilience -- Improving the Donor Journey with Convolutional and Recurrent Neural Networks.

Abstract: This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and classification, RGB and depth image fusion, NLP tasks, dimensionality estimation, time series forecasting, building electric power grid for controllable energy resources, guiding charities in maximizing donations, and robotic control in industrial environments. Novel ways of using convolutional neural networks, recurrent neural network, autoencoder, deep evidential active learning, deep rapid class augmentation techniques, BERT models, multi-task learning networks, model compression and acceleration techniques, and conditional Feature Augmented and Transformed GAN (cFAT-GAN) for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and algorithms in real-world applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. .

Abstract: Chapter 1. ANN Model Based Performance Simulation of a Solar PV Operated Helical Rotor Water Pump -- Chapter 2. A Comparative Analysis of Neural Network Based Models for Forecasting of Solar Irradiation with Different Learning Algorithms -- Chapter 3. A review of Load Frequency Control of Hybrid Power System -- Chapter 4. Time Duration Prediction of Electrical Power Outages -- Chapter 5. Comparative THD Analysis of Multi-level Inverter using SPWM Scheme -- Chapter 6. Power Quality Improvement of Railway Traction System using D-STATCOM -- Chapter 7. Mitigation of Harmonics using Passive-Series Active-Hybrid Filter in 1-Φ and 3-Φ system Feeding Non-linear Load -- Chapter 8. Thermal Modelling of Solar Photovoltaic Panel using FEM -- Chapter 9. Selective Harmonic Elimination for Cascade Multilevel Inverter Using Genetic Algorithm -- Chapter 10. A Concept Design of a Futuristic Battery Management System for Submarines using IEEE802.3bt network -- Chapter 11. Technological Advancements for Reduced Charging Time of Electric Vehicle Batteries: A Review -- Chapter 12. Compact & Efficient way of LSEV Charging -- Chapter 13. Optimization of Closed Loop Controlled Charging Time of Li-Ion Battery using ANFIS -- Chapter 14. Electric Vehicle Reliability Assessment based on Fault-Tree Analysis -- Chapter 15. Design analysis of dimmer light for autonomous vehicles.

Abstract: This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of smart structures in energy infrastructure.

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: A Novel Approach for Early Detection of Disease and Pest Attack in Food Crop: A Review -- HSA based sensor nodes deployment strategy for coverage and connectivity in WSNs -- Depth-Guided two-way saliency network for 2D images -- Comparative Study of Heart Sound Classifier with Varying Hyper Parameter of CNN -- Performance appraisal of 6LoWPAN and OpenFlow in SDN enabled Edge-based IoT network -- Abnormal Behavior Detection of Students in the Examination Hall from Surveillance Videos -- Real-Time Health Monitoring System of Soldiers Using IoT -- Semantics-Driven safety measures in distributed Big Data systems on IoT -- Hybrid Approximate Adders Using Pass Transistor Logic and Transmission Gate -- Health Monitoring System for Soldiers -- Strengthening Data Security using Multi-Level Cryptography Algorithm -- Artificial Face Sketch Drawing Categorization -- Breast Cancer Diagnosis System Using Fuzzy Logic and Android Application -- Mycobacterium Tuberculosis Detection Using CNN Ranking Approach -- A study on hand gesture segmentation approaches.

Abstract: This book presents high-quality, peer-reviewed papers from the Third International Conference on Advanced Computational and Communication Paradigms (ICACCP 2021), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim, India during 22 – 24 March 2021. ICACCP 2021 covers an advanced computational paradigms and communications technique which provides failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals and research scholars from regional, national and international levels are invited to present their original unpublished work in this conference.

Abstract: This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Abstract: Sentiment Analysis of Covid-19 Vaccine Rollout in India -- Empirical Analysis of Static and Dynamic Stopword Generation Approaches -- Text Mining and Machine Learning algorithms to Identifying diseases and providing repair action using ICD-10 codes -- Automated Medical Symptoms Summarization and Patient Profiling System -- Design and Improvement in the Performance of Multi-band House Shaped Microstrip Patch Antenna with SRR based Metamaterial for 5G Applications -- Smart Shoe Provides Vision to Visionless person -- Family Of Friends – A Hostel Utility System -- A Scalable framework for High Performance Computing with Cloud -- Model For Intrusion Detection In Cyber Physical System To Address Network Simulation -- Vulnerability Due to Training Order in Split Learning -- Literature survey for MIMO systems and Interference cancellation in MIMO -- Design and Implementation of Laptop Tracking System based on Cloud Computing and IoT -- Mapping and Change Detection of Mangroves using Remote Sensing and Google Earth Engine: A Case Study -- Modeling Human Tendencies for Password Guessing -- Towards a Framework for Context-Aware Intelligent Transportation System: Case of Kigali -- Language Agnostic Generation of Syntactically Incorrect Programs -- Application of Java Relationship Graphs to Academics for Detection of Plagiarism in Java Projects -- Feature Extraction for Automatic Grading of Students’ Presentations -- Cloud-enabled Education-as-a-Service (EaaS) - A Review -- Decoding Visual Covert Attention Shift from EEG for use in BCI -- Digital Storytelling and ICTs for Education to Foster Sustainable Development.

Abstract: This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 6th International Conference on ICT for Sustainable Development (ICT4SD 2021), held in Goa, India, on 5–6 August 2021. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Abstract: Chapter 1. Analysis of Perceived Usability, Satisfaction and Adoption of Biometric Systems in the Public Transportation Sector of U.A.E. -- Chapter 2. A Semisupervised Deep Learning-based Approach with Multiphase Active Contour Loss for Left Ventricle Segmentation from CMR Images -- Chapter 3. Survey on Energy Efficient approach for Wireless Multimedia Sensor Network -- Chapter 4. Effectual Accuracy of Ophthalmological Image Retinal Layer Segmentation -- Chapter 5. Performance Assessment of K-Nearest Neighbor Algorithm for Classification of Forest Cover Type -- Chapter 6. Gestational Diabetes Prediction Using Machine Learning Algorithms -- Chapter 7. Design and Implementation of Buffon Needle problem Using Technology for Engineering Students -- Chapter 8. Energy Efficient Multi-hop Cluster Routing Protocol for WSN -- Chapter 9. A Review of Smart Electronic Voting Machine -- Chapter 10. Application of Machine Learning Techniques in Intrusion Detection Systems: A Systematic Review -- Chapter 11. Relationship between sustainable practices and firm performance: A study of the FMCG sector in India -- Chapter 12. Learning Paradigms for Analysis of Bank Customer -- Chapter 13. Diagnosis of Dermoscopy Images for the Detection of Skin Lesions Using SVM and KNN -- Chapter 14. MaTop: An Evaluative Topic Model for Marathi -- Chapter 15. Convolutional neural network: an overview and application in image classification.

Abstract: The book includes a selection of the best papers presented at the Third International Conference on Sustainable Computing (SUSCOM 2021), held in Jaipur, India, during 19 – 20 March 2021. It covers topics like Internet of things (IoT); artificial system of security; smart storage and knowledge retrieval using data cloud; intelligent transport management; intelligent cognitive and bio-inspired computing and management science. The book is useful for peoples from academia, government bodies, healthcare and industry to discuss their future scope.

Abstract: Hybrid Precoding based on Machine -Learning for Millimeter-Wave System -- Applying Predictive Analysis Methods for Detection of Driver Drowsiness -- Comparative Analysis of Various Supervised Machine Learning Techniques Used for Sentiment Analysis on Tourism Reviews -- An Enhanced Machine Learning Classification System to Investigate the Status of Micronutrients in Rural Women -- Advanced Hydroponics Fodder System with Temperature Control using Arduino.

Abstract: This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2021) held at SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during 4 – 5 June 2021. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. The book presents original works from researchers from academic and industry in the field of networking, security, big data and the Internet of things.

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: Intelligent Vision in Healthcare -- Diagnosis of Covid-19 in X-ray and CT Images Using Online Clustering Framework -- Unsupervised Deep Learning Approach for the Identification of Intracranial haemorrhage in CT images using PCA-Net and K-Means algorithm -- Automatic segmentation of optic cup and optic disc using MultiResUnet for Glaucoma classification from fundus image -- A Framework to Classify the Calcification Region from USG Images of Thyroid Nodules -- Predicting Heart Disease with Multiple Classifiers.

Abstract: This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.

Abstract: Multi-Choice Programming with Benefits using Kriging Interpolation Method -- Prediction of Alzheimer's Disease using Machine Learning Algorithm -- A Study of the Caputo-Fabrizio Fractional Model for Atherosclerosis Disease -- Fourth order computations of forced convection heat transfer past an isothermal/isoflux cylinder in cylindrical geometry with pseudo time iteration technique -- Implementation of Arithmetic Logic Unit using Area Efficient Adder -- Optimized design of ALU using Reversible Gates -- On-street parking management in Urban CBD: A Review -- Optimal Location of IPFC on LFC Studies Considering PI-TIDN controller and RT-Lab -- Redox Flow Battery Support for Combined ALFC-AVR Control of Multiarea Thermal system Incorporating Renewable Energy Sources -- Cascaded Neural Network Approach for Template Based Array Synthesis -- Deep Learning Assisted Technology for MIMO OFDM 5G Application -- Multi objective Hydro-Thermal-Wind Scheduling applying PSO -- Design and Implementation of Recommendation System using Sentiment Analysis in Social Media -- Content Based Movie Recommendation System with Sentiment Evaluation of Viewer’s Reviews -- New characterization of electrode of supercapacitor with its application as a backup power supply -- Classification of Indian classical dance hand gestures: A Dense SIFT based approach -- A Grid Connecting Control Scheme for Reactive Power Compensation of PV Inverter -- Quantification of Urinary bladder for early detection of hazard in Oliguric patient under dialysis using Embedded System -- Shorted Non-radiating Edges Integrated 2x1 Rectangular Microstrip Antenna for Concurrent Improvement of Gain and Polarization Purity -- A mutual authentication and key agreement protocol for smart grid environment using lattice -- Identification of Malignant Lymphoblast Cell in Bone Marrow using Machine Learning -- Predicting Tamil Nadu Election 2021 Results using Sentimental Analysis Before Counting -- Ticket Dispensation Using Face Detection and Classification -- Estimating the Effectiveness of Paratransit Service in Guwahati City -- A state-of-the-art review on multi-criteria decision making approaches for micro-grid planning -- Availability of different agricultural biomass for energy applications in Villupuram and Cuddalore district -- Deep Wavelet based Compressive Sensing Data Reconstruction for Wireless Visual Sensor Networks -- Optimized 64-bit reversible BCD Adder for low power applications and its comparative study -- Disease Prediction using Various Data Mining Techniques -- Classification Of Medicinal Plant Species Using Neural Network Classifier: A Comparative Study -- Stock Market Prediction of Neural network: A Literature Review -- Expanding Electricity Access in Rural Uttarakhand by Mobilization of Local Resources -- Detection of Abnormalities in Mammograms using Deep Convolutional Neural Networks -- Orange Fruit Recognition using Neural Networks -- Machine learning based method for recognition of paddy leaf diseases -- Data-Path Designing in Multi-Voltage Domain -- State Space Approach of Automatic Generation Control of Two-Area Multi Source Power systems -- A neural network model to estimate parameters of DBSCAN for flood image segmentation -- Quality Assessment of Public Transport: A Review -- Blockchain Technology Used in the Mid-Day Meal Scheme Program Supply Chain Management -- Economic Load Dispatch: A Holistic Review on Modern Bio-Inspired Optimization Techniques -- Enhanced Multigradient Dilution Preparation -- Breakdown Voltage Improvement in AlGaN/GaN HEMT by Introducing a Field Plate -- Engineering optimization using an advanced hybrid algorithm -- Image Enhancement using Chicken Swarm Optimization -- AHP-utility Approach for Mode Choice Analysis of Online Delivery System -- Medical Electronics Device to Provide Non-Invasive Therapy to Treat Deep Vein Thrombosis using BLE and Embedded Systems -- Applying Efforts for Behavior Based Authentication for Mobile Cloud Security -- A Comprehensive Study on SCADA based Intake, Water Treatment Plant and Intermediate Pumping Station of Existing Water Supply System -- Multimodal Summarization: A Concise Review -- Power Quality Issues with Penetration of Wind Energy and The Role of LDC: A Mini Review -- Strategies on Smart Energy Management Policies in India -- Stand-Alone Bidirectional Encoder Representations from Transformers based Fake News Detection Model -- A Tactical analysis of SSPT Modules with Smart-Grid Renewable Energy System Entanglement -- Smart Student participation Assessment using Fuzzy Logic -- Generation of a Trust Model for Secured Data Transfer in IoT -- Investigation of Localization Error in Range Free Centroid and DV Hop Based Localization Algorithms and Optimization using PSO -- Dynamic Network Traffic Management for Secure and Faster Data Transmission -- Numerical Modelling of Infiltration rate -- Hybrid Flower Pollination Algorithm for optimization problems -- Predicting Autism Using Machine Learning.

Abstract: This book presents the collection of the accepted research papers presented in the 1st ‘International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)’. This edited book contains the articles related to the themes on artificial intelligence in machine learning, big data analysis, soft computing techniques, pattern recognitions, sustainable infrastructural development, sustainable grid computing and innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).

Abstract: ITSA-KNN: Feature Selection Model Based on Improved Tree-Seed Algorithm and K-Nearest Neighbor for Network Intrusion Detection -- Cost-Effectiveness of Using Tablets for Digital Literacy Training in Tribal Areas of Rajasthan -- Multi-class weather classification: Comparative analysis of Machine learning algorithms -- Deep Learning Based Chatbot Framework ForMental Health Therapy -- Heart Disease Prediction using Core Machine Learning Techniques – A Comparative Study -- Predicting the presence of newt-amphibian using genetic programming -- Prediction of annual Indian Summer Monsoon Rainfall (ISMR) using Parametric Deep learning model -- Early-Stage Detection of Liver Disease through Machine Learning Algorithms -- Applications of High Dimensional Neural Networks: A Survey -- Breast Cancer Classification With Random Forest Classifier With Feature Decomposition Using Principal Component Analysis -- DDNA: A Modified Concept to DNA Cryptography -- A Comprehensive Study of AI-based Steganalysis Techniques on Image and Text Documents -- Image Tampering Forgery Detection using Convolutional Neural Network with Blockchain.

Abstract: This book gathers a collection of high-quality peer-reviewed research papers presented at the 3rd International Conference on Data and Information Sciences (ICDIS 2021), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 14 – 15, 2021. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.

Abstract: Chapter 1. Mobile Application for Tour Planning using Augmented Reality -- Chapter 2. Wrapper-Naive Bayes approach to Perform Efficient Customer Behavior Prediction -- Chapter 3. ECG Acquisition Analysis on Smartphone through Bluetooth and Wireless Communication -- Chapter 4. Enhanced Security of user Authentication on Doctor E-Appointment System -- Chapter 5. Enhanced Shadow Removal for Surveillance Systems -- Chapter 6. Vehicle Speed Estimation and Tracking using Deep Learning and Computer Vision -- Chapter 7. Transparent Blockchain-based Electronic Voting System: A Smart Voting Using Ethereum -- Chapter 8. Usuage of Machine Learning Algorithms to Detect Intrusion -- Chapter 9. Speech Emotion Analyzer -- Chapter 10. A Review of Security Concerns in Smart Grid -- Chapter 11. An Efficient E-mail Spam Detection utilizing Machine Learning Approaches -- Chapter 12. Malware Prediction Analysis using AI Techniques with the effective Preprocessing and Dimensionality Reduction -- Chapter 13. Statistical Test to Analyze Gene Micro array -- Chapter 14. An Analysis on Classification models to Predict Possibility for type 2 Diabetes of a Patient -- Chapter 15. Preserve Privacy on Streaming data during the process of Mining using user defined Delta value.

Abstract: This book presents the latest research in the fields of computational intelligence, ubiquitous computing models, communication intelligence, communication security, machine learning, informatics, mobile computing, cloud computing, and big data analytics. The best selected papers, presented at the International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2021), are included in the book. The book focuses on the theory, design, analysis, implementation, and application of distributed systems and networks.

Abstract: E-learning based Collaborative Learning Experience in the Education Paradigm -- Using Clean Architecture Principles to Improve the Design and Implementation of the Mobiles Online Platform -- Detection of Arrhythmia using Convolution Neural Networks -- The Hybrid Vision Transformer Approach for Hyperpigmentation Nail Disease Detection -- Covid19 Fake News Detection Using Glove and Bi-LSTM -- Combinatorial Test Perspective on Test Design of SDN Controllers.

Abstract: This book features high-quality research papers presented at the 2nd International Conference on Sustainable Expert Systems (ICSES 2021), held in Nepal during September 17–18, 2021. The book focusses on the research information related to artificial intelligence, sustainability, and expert systems applied in almost all the areas of industries, government sectors, and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing, and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.

Abstract: The book is a collection of high-quality research papers presented at 7th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by Communication University of Zhejiang, China and technically co-sponsored by Shandong University of Science and Technology, China; Zhejiang Lab, China; and Fujian University of Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.

Abstract: A Blind Signature Scheme based on Bilinear Pairings -- Security Analysis via Algebraic Attack Against A New Encryption Scheme for Multivariate Quadratic System' -- Currency An Energy-Efficient Proof-of-Work Scheme for Crypto-Currencies -- A study on randomness used in signature generation of UOV -- On The Inadequacy of Multimodal Maps for Cryptographic Hash Applications with Phase-Space Modulation. .

Abstract: This book features selected papers from the 7th International Conference on Mathematics and Computing (ICMC 2021), organized by Indian Institute of Engineering Science and Technology (IIEST), Shibpur, India, during March 2021. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry. .

Abstract: Machine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS) -- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique -- Placement Analysis – A New Approach to Ease the Recruitment Process -- Continuous Assessment Analyzer using Django -- Fuzzy Logic in Battery Energy Storage System (Bess) -- Fault Classification of Cooling Fans using a CNN-based Approach -- Violence Recognition using Convolutional Neural Networks -- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method -- The Future of Car Automation Field with Smart Driverless Technologies -- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- Defect Severity Classification of Complex Composites using CWT and CNN -- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning -- Industry Revolution 4.0 Knowledge Assessment in Malaysia.

Abstract: The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.

Abstract: Harvesting robots for smart agriculture -- Drone-based weed detection architectures using deep learning algorithms and real-time analytics -- A deep learning-based detection system of multi-class crops and orchards using a UAV -- Real-life agricultural data retrieval for large scale annotation flow optimization -- Design and analysis of IoT-based modern agriculture monitoring system for real time data collection -- Estimation of wheat yield based on precipitation and evapotranspiration using soft computing methods -- Coconut maturity recognition using convolutional neural network -- Agri food products quality assessment methods -- Medicinal plant recognition from leaf images using deep learning -- ESMO based plant leaf disease identification: A machine learning approach -- Deep learning-based cuali flower disease classification -- An Intelligent System for Crop Disease Identification and Dispersion Forecasting in SriLanka -- Apple leaves diseases detection using deep convolutional neural networks and transfer learning -- A deep learning paradigm for detection and segmentation of plant leaves diseases -- Early-stage prediction of plant leaf diseases using deep learning models.

Abstract: This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.

Abstract: Molecular Docking Analysis of Selected Phytochemicals for The Treatment of Proteus Syndrome -- A Deep Learning Based Detection of Wrinkles on Skin -- Image Transmission using Leach and Security using RSA in Wireless Sensor Networks -- Code Injection Prevention in Content Management Systems using Machine Learning -- A Review of Hyperspectral Image Classification with various Segmentation approaches based on Labelled Samples -- Improvements in user Targeted Offline Advertising using CNN and Deviation-based Queue Scheduling -- Movie Recommendation System using Hybrid Collaborative filtering Model -- Hybrid Pipeline Infinity Laplacian Plus Convolutional Stage Applied to Depth Completion -- A Novel approach of DEMOO with SLA Algorithm to predict Protein Interactions -- Economic Load Dispatch Problem with valve point loading effect using DNLP optimization using GAMS -- Solar Radio Spectrum Classification based on ConvLSTM -- Particle Swarm Optimization -based Neural Network for Wireless Heterogeneous Networks -- Impact Analysis of Covid-19 on various Indian Sectors.

Abstract: This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Abstract: Predictive Analytics for real time Agriculture Supply Chain Management: A novel pilot study -- Analysis and Prediction of Crop Infestation Using Machine Learning -- ECG based Personal Identification System -- Explorations in Graph-based Ranking Algorithms for Automatic Text Summarization on Konkani Texts -- Demography Based Hybrid Recommender System for Movie Recommendations -- Holistic Recommendation System Framework For Health Care Programs -- A synthetic data generation approach using correlation coefficient and neural networks -- Cepstral Coefficient based Gender Classification using Audio signals.

Abstract: This volume presents select proceedings of the International Conference on Sustainable Advanced Computing (ICSAC – 2021). It covers the latest research on a wide range of topics spanning theory, systems, applications, and case studies in advanced computing. Topics covered are machine intelligence, expert systems, robotics, natural language processing, cognitive science, quantum computing, deep learning, pattern recognition, human-computer interface, biometrics, graph theory, etc. The volume focuses on the novel research findings and innovations of various researchers. In addition, the book will be a promising solution for new generation-based sustainable, intelligent systems that are machine and human-centered with modern models and appropriate amalgamations of collaborative practices with a general objective of better research in all aspects of sustainable advanced computing. .

Abstract: AWRPS-ROBO: Automated Weed Removal and Pesticides Spray -- Designing of Cavity Filter with Slot Coupling Mechanism for ku Band -- Use of Smart Mobile Applications with IoT in Diseases Prediction System for Apple Orchards -- Review on Miniaturized Flexible Wearable Antenna for Body Area Network -- DEERS: Design Energy Efficient Routing Scheme for Harsh Environment Monitoring in HWSNs -- Context Enriched Machine Learning based Approach for Sentiment Analysis -- Recommending Books using RNN -- A Survey on Applications of Unmanned Aerial Vehicles (UAVs) -- Early Detection of Influenza using Machine Learning Techniques -- Fuzzy Time-Series Models Based on Intuitionistic Fuzzy, Rough Set Fuzzy and Differential Evolution -- Genetic Algorithm Application on 3-D Pipe Routing: A Review -- Directed Undersampling using Active Learning for Particle Identification -- Smart Agriculture using Internet of Things: An Empirical Study -- A Study on the Implementation of Secure VANETs using FPGA -- Massive MIMO System – Overview, Challenges and Course of Future Research -- Millimeter-Wave Dual-Band (32/38 GHz) Microstrip Patch Antenna for 5G Communication -- Design and Analysis of Single band and Wideband Wineglass Shaped Patch Antenna for WLAN and Satellite Applications.

Abstract: This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on June 8–9, 2021 by Eötvös Loránd University (ELTE), Budapest, Hungary in association with many Universities; WSG Poland, Knowledge University, ERBIL. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

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 I: Image Processing, Computer Vision and Pattern Recognition -- Genetic Dropout: An application to Handwritten Indic Script Classification -- Encryption of Optically Compressed Medical Images using Phase Matrix -- Application of image processing for reconstruction of PATHA art, a cultural heritage of eastern India: An approach using particle swarm optimization technique -- A Transfer learning-based approach for lung inflammation detection -- Caption bot for Assistive Vision -- Tiny Vessels Exploration in Retinal Image using BFS Influenced Flood Filling -- A Reliable and Fast Detection Technique for Lung Cancer Using Digital Image Processing -- Correlation based cluster validity index for recognition of Leukemia mediating biomarkers -- An Approach for Ultrasound Image Enhancement Using Deep Convolutional Neural Network -- Food Calorie Estimation System Using Image ai with Retinanet Feature Extraction -- Sketch-based Image Retrieval using Convolutional Neural Networks based on Feature Adaptation and Relevance Feedback -- Dual image-based data hiding scheme using Quorum Function -- Part II: Intelligent information systems -- Pathway Marker Identification Using Gene Expression Data Analysis: A Particle Swarm Optimisation Approach -- Forecasting of the WPI of Textiles in India: An Neural Approach -- Determining Dark Diversity of Different Faunal Groups in Indian Estuarine Ecosystem: A New Approach with Computational Biodiversity.

Abstract: This book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.

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: Chapter 1: Design and Analysis of Modified Split Ring Resonator Structured Multiband Antenna for WCDMA and WiMAX Applications -- Chapter 2: A Wearable Finger Exoskeleton For Motor Rehabilitation Using Mobile Application -- Chapter 3: Game theoretical approach for cluster-based routing protocol in Wireless Sensor Networks -- Chapter 4: Advance Digital Signal Processing for Interference Mitigation in Very High Throughput Satellite -- Chapter 5: Low-Power Endoscopic Image Compression Algorithms Using Modified Golomb Codes -- Chapter 6: Image Steganography Using Ridgelet Transform and SVD -- Chapter 7: HWCMA and HW-LS-CMA blind learning method for intelligent antenna system -- Chapter 8: Performance evaluation of prediction algorithm based tracking methods in a recovery of a lost target using Wireless Sensor Network -- Chapter 9: An Efficient Convolutional Neural Network for Acute Pain Recognition using HRV Features -- Chapter 10: Design and development of LSTM–RNN model for the prediction of RR intervals in ECG signals -- Chapter 11: FHSS Signals Classification by Linear Discriminant in a Multi-Signal Environment -- Chapter 12: Non-invasive Thyroid detection using thermal Imaging technique -- Chapter 13: Non Orthogonal Multiple Access Techniques for Next Generation Wireless Networks: A Review -- Chapter 14: Triple band circular patch antenna using complimentary split ring resonators -- Chapter 15: Features Analysis of Electroencephalography (EEG) for Mindfulness Meditation Effect on Cancer Patient toward Stress Level.

Abstract: This book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and postgraduate students across the globe.

Abstract: 1. Absences predictive model of for the outpatient unit in a public hospital -- 2. Automatic Data Warehouse Generation Model from BI requirements in Natural Language -- 3. Automation of an Educational Data Mining Model applying Interpretable Machine Learning and Auto Machine Learning -- 4. Examining the tech stacks of Czech and Slovak untrustworthy websites -- 5. A prospective model of a digital epidemiological surveillance 4.0 based on the Peruvian public health system.

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

Abstract: Chapter 1. Explanation Based Serendipitous Recommender System (EBSRS) -- Chapter 2. Introduction of feature selection and leading-edge technologies viz. TENSORFLOW, PYTORCH and KERAS: An empirical study to improve prediction accuracy of cardiovascular disease -- Chapter 3. Campus Placement Prediction System using Deep Neural Networks -- Chapter 4. Intensity of Traffic Due to Road Accidents in USA: A Predictive Model -- Chapter 5. Credit Card Fraud Detection using Blockchain and Simulated Annealing k-means Algorithm -- Chapter 6. Improving Accuracy of Deep Learning Based Compression Techniques by Introducing Perceptual Loss in Industrial IoT -- Chapter 7. Characterization and Prediction of Various Issue Types: A Case Study on the Apache Lucene System -- Chapter 8. Heart Disease prediction using Machine Learning Techniques: A Quantitative Review -- Chapter 9. Enhancing CNN with Pre-processing Stage in Illumination Invariant Automatic Expression Recognition -- Chapter 10. An Expert Eye for Identifying Shoplifters in Mega Stores -- Chapter 11. Sanskrit Stemmer Design : A Literature Perspective -- Chapter 12. Predicting Prior Academic Failure of Students’ using Machine Learning Approach -- Chapter 13. Deep Classifier for News Text Classification using Topic Modelling Approach -- Chapter 14. Forecasting covid-19 cases using Deep CNN LSTM model -- Chapter 15. Multi-resolution video steganography technique based on Stationary wavelet transform (SWT) and Singular value decomposition (SVD) -- Chapter 16. A novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems -- Chapter 17. A Systematic Review On Various Attack Detection Methods For Wireless Sensor Networks -- Chapter 18. Electronic Beam Steering in Timed Antenna Array by Controlling the Harmonic Patterns with Optimally Derived Pulse-Shifted Switching Sequence -- Chapter 19. Classification of attacks on MQTT based IoT system using Machine learning techniques -- Chapter 20. Encrypted Traffic Classification using eXtreme Gradient Boosting algorithm -- Chapter 21. Analyzing Natural Language Essay Generator Models using Long Short Term Memory Neural Networks -- Chapter 22. Performance Evaluation of GINI Index and Information Gain Criteria on Geographical Data: An Empirical Study Based on JAVA and Python.

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: An Analysis of Cyber Espionage Process -- Portuguese concerns and impact on behavior about cyber security: a comparison with the European average -- Impact of Social Engineering Attacks: A Literature Review -- Taxonomy for the characterization of Maritime Cyber Defense actors for command and control -- Enabling Sustainable Management through Kalman Filtering in glossaLAB: a case study on Cyber-Subsidiarity -- Digital Transformation impact in Security and Privacy -- ISOLA : an innovative approach to cyber threat detection in cruise shipping -- ANALYSIS OF THE CYBERSECURITY IN WIRELESS SENSOR NETWORKS (WSN): A REVIEW LITERATURE -- Green Energy for nodes of Hybrid Fiber-Coaxial Net-works in the transmission and distribution of signals to the end customer -- Comparative analysis of high frequencies for thebroken bar fault diagnosis using MCSA andPark’s vector demodulation -- Nexus of Electrospun Nanofibers and Additive Processing in Wearable Tactical Gears in CBRNE Defense -- Towards real-time drone detection using Deep Neural Networks -- Detection of Opencast Mining Sites from Multispectral Satellite Images -- Impact of the Use of Simulators on Training and Specialization in the Navy.

Abstract: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS 2021), held at Naval Cadet School "Almirante Padilla", in Cartagena, Colombia, during August 18–20, 2021. It covers a broad range of topics in systems, communication, and defense; strategy and political–administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike. .

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: Introduction about Multimedia and its Applications -- Smart Monitoring, Diagnosis and Predictive Evaluations (with tagging) for e-Healthcare -- Medical data, Image, Video Processing and Visualization (including recommendation) for Smart healthcare -- Innovative Information Services by Smart Multimedia System for Senior citizens and Disable Peoples -- Innovative Services using Big Data Analytics in Smart Healthcare -- Smart Patient Care by Intelligent Systems: Patient Condition Screening, Visualization and Monitoring with Multimedia Technology -- Intelligent Multimedia Interactive Systems for Industry based Healthcare System -- Security, Privacy of Smart Healthcare Systems: From Industry 4.0’s Perspective.

Abstract: This book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications.

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: 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: nfluencing User Intention of Plant-Based Sensing System Adoption in Public Vocational-High Schools of Indonesia Using TAM -- An Empirical Study of Critical Success Factors for the Adoption of m-Government Services in Tanzania -- Smart City based on LoRaWAN: Coverage study for Cusco Urban Area -- Digital transformation in education in knowledge society -- Induction Motor Overload Recognition based on Sound Analysis -- Simulation of an all-terrain vehicle driving experience using virtual reality -- Safety-centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges? -- Devising auxiliary glyph schemas combined with XOR filters for improvised font delivery and reliable dynamic font augmentation -- Multiple Sequence Alignment Algorithms in Bioinformatics -- Design and Implementation of a Machine Learning Based Technique to Detect Unipolar and Bipolar Depression Using Motor Activity Data.

Abstract: This book gathers high-quality papers presented at the Fifth International Conference on Smart Trends in Computing and Communications (SmartCom 2021), organized by Global Knowledge Research Foundation (GR Foundation) from March 2 – 3 , 2021. It covers the state of the art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

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: 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: Data: periodicity and ways to unlock it’s full potential -- Modulating Neural Oscillations with Transcranial Focused Ultrasound -- Minimization of thermal conductivity in nanostructures and geometric self-similar structures for thermoelectric applications.

Abstract: The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers.

Abstract: This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Abstract: Strongly Prime Radicals and S-primary Ideals in Posets -- Association Schemes over Some Finite Group Rings -- Rings whose nonunits are multiple of unit and strongly nilpotent element -- Improved Lower Bounds on Second Order Nonlinearities of Cubic Boolean Functions -- Ces`aro-Riesz Product Summability φ − |C1R; δ|q Factor for an Infinite Series -- Ostrowski’s Type Inequalities with Exponentially Convex Functions and its Applications.

Abstract: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.

Abstract: Reading Gauges Using Computer Vision -- Efficient Classification for Age and Gender of Unconstrained Face Images -- Prediction of Road Accidents Using Data Mining Techniques -- Eye Gaze Based Student Readability Analysis -- Enhancement of Life Time of Sensor Nodes in Wireless Sensor Network -- Social Distancing through Image Processing, Video Analysis AND CNN.

Abstract: This book gathers outstanding research papers presented in the International Conference on Computational Intelligence and Emerging Power System (ICCIPS 2021), held on March 9-10, 2021, at Engineering College Ajmer. ICCIPS 2021 is jointly organized by the Department of CSE and Department of EE, Engineering College Ajmer, Rajasthan, India. The topics covered in the book are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, natural language processing, renewable energy, signal processing, optimization methods for power system, smart grid, micro-grid, energy management, power system, monitoring system, load management, and distributed generation.

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: Linguistic Information for Decision Making using SVM -- Generalization of blocks linked with query response using metaheuristic approach -- Gold Price Prediction using an evolutionary Extreme Learning Machine -- Prediction of Personality Traits in Facebook Users -- Analysing Odisha Turmeric Price and Other Major Turmeric Producing States of India: A Longitudinal Approach -- System For Full Immunization Coverage -- Intelligent Big Data Analytics: A Perspective for IoHT & HealthCare -- Host Specific Outlier Detection using Process Relation Semantics with Graph Mining -- Intrusion Detection and Prevention Systems Using snort -- ANFIS for Fraud Automobile Insurance Detection System -- Computer Vision-Based Alert System to Detect Fatigue in Vehicle Drivers -- Concentration Level of a Learner using Facial Expressions on E-Learning Platform -- A Multidimensional Data Mining Approach for Video Analysis and Ranking System -- Impulse Noise Restoration Using Combined Fuzzy Logic and Adaptive Trimmed Median Filter.

Abstract: This book includes high-quality papers presented at the Second International Conference on Data Science and Management (ICDSM 2021), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from 19 to 20 February 2021. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.

Abstract: Is Coronavirus pushing humanity towards an evolutionary jump as it did long back when it initiated making a brain -- Cloaking or invisibility is the foundation of highly intelligent bio-machinery: Why are computer circuits primitive -- Life is an engineering marvel of water: Its water that manages noise to synthesis life -- How to reverse engineer an organic human brain without using any chemicals -- The making of a humanoid bot using electromagnetic antenna and sensors -- Can we ever make a humanoid bot that runs by itself without any software.

Abstract: The book outlines a pathway to the development of fusion of electromagnetic resonance and artificial intelligence which will dominate the world of communication engineering. Electromagnetic resonance is fundamental to all biomaterials. The authors explore the peculiarities of this typical resonance behaviour in the literatures and provide the key points where the research should direct. Biological antennas are inspiring designing of several electromagnetic devices. From biomimetic engineering to humanoid bots a revolution is undergoing. Authors include entire development in the form of a book along with their contribution to this field.

Abstract: Utilization of Sensors for Energy Generation using Pressure or Vibrations -- Modeling and Optimization of Discrete Evolutionary Systems of İnformation Security Management in a Random Environment -- Gender Identification using Ensemble Linear Discriminant Analysis Algorithm based on Facial Features -- Software Stack for Autonomous Vehicle: Motion Planning -- Transformers for Speaker Recognition -- Real-time Face Mask Detection using MobileNetV2 Classifier -- Spoken Language Identification for Native Indian Languages using Deep Learning Techniques -- Smart Attendance System using Machine Learning Algorithms -- Novel Approach to Phishing Detection Using ML and Visual Similarity -- Text Summarization of Articles using LSTM and Attention-based LSTM.

Abstract: This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24–25 September 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers selected papers in the area of emerging modern mobile robotic systems and intelligent information systems and autonomous systems in agriculture, health care, education, military and industries.

Abstract: Robotics, Control, Mechatronics and Automation -- Telecommunication Systems and Applications -- Electronic Design and Applications -- Vision, Image and Signal Processing -- Electrical Power, Energy and Industrial Applications -- Computer and Information Technology -- Biomedical Engineering and Applications.

Abstract: The proceeding is a collection of research papers presented at the 11th International Conference on Robotics, Vision, Signal Processing & Power Applications (RoViSP 2021). The theme of RoViSP 2021 “Enhancing Research and Innovation through the Fourth Industrial Revolution (IR 4.0)” served as a platform for researchers, scientists, engineers, academicians as well as industrial professionals from all around the globe to present and exchange their research findings and development activities through oral presentations. The book covers various topics of interest, including: Robotics, Control, Mechatronics and Automation Telecommunication Systems and Applications Electronic Design and Applications Vision, Image and Signal Processing Electrical Power, Energy and Industrial Applications Computer and Information Technology Biomedical Engineering and Applications Intelligent Systems Internet-of-things Mechatronics Mobile Technology.

Abstract: Genetic Algorithm based vaccine optimization technique to control COVID-19 -- Ethereum MongoDB: Integrating Blockchain with Non-Relational Databases -- Attention based Discrimination of Mycoplasma Pneumonia -- Minimum Weight Dominating Set using Chemical Reaction Optimization Algorithm -- A Hybrid Domain Fragile Watermarking Techniques for Authentication of Color Images -- IOT based Carbon Monoxide Monitoring Model for Transportation Vehicles -- TWEERIFY: A Web based Sentiment Analysis System using Rule and Deep Learning Techniques -- Machine Learning Based Fake News Detection on Covid-19 Tweets Data -- ADVERSE EFFECT OF ELECTROMAGNETICFREQUENCY ON HUMAN BEING HEALTH UNDER REAL LIFE SCENARIO: A COMPARATIVE STUDY.

Abstract: This book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021).

Abstract: Introduction to Knowledge Management -- Tools for Knowledge Management -- Knowledge Management in Various Sectors -- Knowledge Management System -- Artificial Intelligence and Knowledge Management -- Explainable Artificial Intelligence (XAI) for Knowledge Management (KM) -- Explainable AI for Knowledge Management -- Conclusions.

Abstract: This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.

Abstract: Hybrid Fruitfly Optimization for EHR Applications in cloud environments for load balancing optimization -- Distributed Machine Learning - An Intuitive Approach -- Prediction of Wall Street Through AI Approach -- A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants -- Analyzing Comments on social media with XG Boost Mechanism -- Distributed Edge Learning in Emerging Virtual Reality Systems -- A review on Deep Learning Based Object Recognition Algorithms -- A Study on Interaction of Human-Machine in Banking Services during Covid-19 -- A Study on Review of Application of Blockchain Technology in Banking Industry.

Abstract: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2021), organized by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India during 22 – 24 September 2021. The topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Abstract: Introduction to Blockchain Based Internet of Things for Industry 5.0 -- Blockchain Based Internet of Things: Challenges and Opportunities -- Challenges and Issues in Blockchain Based IoT Services -- Blockchain for IoT Based Cyber - Physical Systems (CPS): Applications and Challenges -- Blockchain in IoT and Beyond: Case studies on Interoperability and Privacy.

Abstract: The book is aimed to foster knowledge based on Blockchain technology highlighting on the framework basics, operating principles and different incarnations. The fundamental problems encountered in existing blockchain architectures and means for removing those would be covered. It would also touch upon blockchain based IoT systems and applications. The book covers applications and use cases of blockchain technology for industrial IoT systems. In addition, methods for inducing computational intelligence into existing blockchain frameworks thereby thwarting most of the limitations are also discussed. The readers would benefit from the rich technical content in this rapidly emerging field thereby enabling a skilled workforce for the future.

Abstract: Self-Regulation Management in Iot Infrastructure using Machine Learning -- Corpus Creation for Anaphora Resolution in Punjabi Language -- Challenges in Recognition of Kashmiri Script -- An Intensive literature Review on Machine Translation Using Neural Approach -- Notation Systems Applied on Indian Sign Language: A Review -- Anatomy of Various Biomarkers for Diagnosis of Socio Behavioral Disorders -- An Improved CSHO Technique for Mathematical and Multidisciplinary Engineering Applications -- Text Processor for IPC Prediction -- A Hybrid Approach for Sleep States Detection using Blood Pressure and EEG Signal -- Applications of Artificial Intelligence in Smart Agriculture: A Review -- Impact of Fractal Geometry on Microstrip Patch Antenna at Futuristic Frequencies -- Classification and Identification of Partial Outage in Transmission Lines using Deep Learning -- Route Tracer: A Shortest and Safest Path Calculator -- Reinforcement Learning in Medical Diagnosis: An Overview -- Importance of Pulse Examination and its Diagnostic System -- Internet of Device to Device Things: Concern, Challenges and Applications.

Abstract: This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on May 8–9, 2021, at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

Abstract: This book features a collection of high-quality, peer-reviewed research papers presented at the 9th International Conference on Innovations in Computer Science & Engineering (ICICSE 2021), held at Guru Nanak Institutions, Hyderabad, India, on September 3–4, 2021. It covers the latest research in data science and analytics, cloud computing, 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, and artificial neural networks.

Abstract: Introduction: Hybrid Distributed Power System (HDPS) -- Modeling of HDPS -- Optimization techniques -- Performance analysis of HDPS with conventional controllers -- Optimal and Modern Controller for HDPS -- Fuzzy logic controller for HDPS -- Non-integer controller and Estimation -- Sliding mode controller for HDPS -- Khartinovs theorem-Robustness study of the designed controller -- Model order reduction of HDPSModel order reduction of HDPS.

Abstract: This book aims to systematically review and design different intelligent control algorithms for the small-signal stability assessment of HPS. With the growing consciousness of global warming and the fast depletion of natural power generation resources, the existing power system is on the verge of transitions to a “hybrid power system (HPS)” integrated with distributed energy resources. The recent results and requirements for the developments of intelligent control algorithms have motivated the authors to introduce this book for extensively analyzing the performance of HPS against unknown/uncertain disturbances. This book introduces fractional-order resilient control methodologies for arresting small-signal instability of HPS. The prospective investigation has been performed on the MATLAB platform. This book is helpful for undergraduate, postgraduate students, and research scholars working in power system stability, control applications, and soft computing in particular.

Abstract: Bipolar Complex Pythagorean Fuzzy Graphs -- Modified Operations Of Trapezoidal Fuzzy Numbers For Solving Fuzzy Linear Programming Problems -- An Innovative Method for Finding Optimal Solution Fully Solved by Using Generalized Quadratic Fuzzy Transportation Problems -- A New Ranking Method For Solving Nanogonal Fuzzy Transportation Problem -- Novel Arithmetic Operations On Ivifns And Their Properties On Ranking Functions.

Abstract: The edited volume includes papers in the fields of fuzzy mathematical analysis and advances in computational mathematics. The fields of fuzzy mathematical analysis and advances in computational mathematics can provide valuable solutions to complex problems. They have been applied in multiple areas such as high dimensional data analysis, medical diagnosis, computer vision, hand-written character recognition, pattern recognition, machine intelligence, weather forecasting, network optimization, VLSI design, etc. The volume covers ongoing research in fuzzy and computational mathematical analysis and brings forward its recent applications to important real-world problems in various fields. The book includes selected high-quality papers from the International Conference on Fuzzy Mathematical Analysis and Advances in Computational Mathematics (FMAACM 2020).

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: 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: Smart Alternation Schemes and Design Practices during Pandemics -- Supporting Urban Innovators’ Reflective Practice -- Fighting the Gender Gap in ICT: Guidelines for Game Design -- Towards the Set of Principles for Enhancing Open Cultural Data Reusability in Educational Context -- Discoverability of OER: The Case of Language OER -- Dialogism Meets Language Models for Evaluating Involvement in CSCL Conversations -- Romanian Syllabification using Deep Neural Networks -- A Snapshot of University Students’ Perceptions about Online Learning during the COVID-19 Pandemic -- College Students' Blended Online Examination Acceptance during the COVID-19 Epidemic -- Robots as my Future Colleagues: Changing Attitudes towards Collaborative Robots by Means of Experience-based Workshops.

Abstract: This book brings together the contributions of the 6th International Conference on Smart Learning Ecosystems and Regional Development, which aims at promoting reflection and discussion concerning R&D work, policies, case studies, entrepreneur experiences with a special focus on understanding the relevance of smart learning ecosystems (e.g., schools, campus, working places, informal learning contexts, etc.) for regional development and social innovation and how the effectiveness of the relation of citizens and smart ecosystems can be boosted. This forum has a special interest in understanding how technology-mediated instruments can foster the citizen’s engagement with learning ecosystems and territories, namely by understanding innovative human-centric design and development models/techniques, education/training practices, informal social learning, innovative citizen-driven policies, technology-mediated experiences and their impact. This set of concerns will contribute to foster the social innovation sectors and ICT and economic development and deployment strategies alongside new policies for smarter proactive citizens. .

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. A Review on Power Quality İmprovement of Grid Connected PV With Lithium-ion and Super Capacitor Based Hybrid Energy Storage System Using a New Control Strategy -- Chapter 2. Influence of Alternative Fuels on Exhaust Emissions of IC Engine-A Review -- Chapter 3. Hybrid Energy System For An Academic Institution: A Case Study -- Chapter 4. Challenges to Mini-Grids: An alternative to Rural Electrification -- Chapter 5. Comparative Analysis of Family of Luo Converter for Renewable Energy Applications -- Chapter 6. Design and modeling of L-shape piezoelectric energy harvester for powering Deep Brain Stimulation System -- Chapter 7. Solar Irradiation Forecasting by Long-Short Term Memory using Different Training Algorithms -- Chapter 8. Forecasting of Wind Speed by Using Deep Learning for Optimal Use of the Energy Produced by Wind Farms -- Chapter 9. Analysis of Predictive Current Control Technique in Wind EnergyConversion System -- Chapter 10. Genetic Algorithm based Intelligent Control Strategy for Multi Input Multi Output DC-DC Converter -- Chapter 11. Wavelet Transform Based Comparative Analysis of Wind Speed Forecasting Techniques -- Chapter 12. Maximization of Energy Production from Sholayar Hydropower Plant in India -- Chapter 13. Cuk based Single Phase Inverter Design for PV Array Systems -- Chapter 14. Support Vector Machine based Forecasting for Renewable Energy Systems -- Chapter 15. Efficiency Improvement of PV Panel Using PCM Cooling Technique -- Chapter 16. Parametric Identification AlgorithmUsing Chebyshev−Laguerre Functions -- Chapter 17. Analysis of Piezoelectric Energy harvesting schemes and a proposition for state-of-the-art approach in Hydro-electric power generation.

Abstract: This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

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: Chapter 1. Design and Construction of a Dual Axis Solar Tracking System by Astronomical Algorithm -- Chapter 2. Estimation of Magnetic Flux linkage in SRM using various defuzzification techniques -- Chapter 3. Multilevel Inverter based STATCOM for Distribution System -- Chapter 4. Sensitivity Analysis and Design Optimization of Synchronous Reluctance and Permanent Magnet Motors -- Chapter 5. A New Heuristic algorithm for Economic Load Dispatch incorporating wind power -- Chapter 6. Enhanced Grasshopper Optimization Algorithm For Numerical Optimization -- Chapter 7. Eco-Routing – To Reduce Vehicle CO2 Emissions by CACC: An IoT Application -- Chapter 8. Fuzzy Sliding Mode Control of DC-DC Boost Converter with Right-Half Plane Zero -- Chapter 9. Liquid Level Control of Non Linear Process Using Big Bang - Big Crunch Optimization Based Controller -- Chapter 10. Impact of PV Cells and MPPT Controller on Power System Dynamics -- Chapter 11. Wavelet Feature Based Microcalcification Detection in Mammogram -- Chapter 12. Reliable Radiation Hardened Memory Cells for Single-Event Multiple Effects -- Chapter 13. Finger Vein Identification Using Deep Convolutional Generative Adversarial Networks -- Chapter 14. Computer Aided Detection of Malignant Mass in Mammogram using U-Net Architecture -- Chapter 15. Visualization and Evaluation of Methane Gas Leakage by Thermal Image Processing using Supervised Deep Learning Models.

Abstract: This book gathers selected papers presented at the 6th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the Anna University, Chennai, India, from 20 to 22 April 2020. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

Abstract: Refining the efficiency of R-CNN in pedestrian detection -- Towards spark-based deep learning approach for fraud detection analysis -- Enhanced Dual-Band Bandstop Filter With Stepped-Impedance Resonators Using A Computer-Aided Optimization Technique -- The Self-Presentation and Social Anxiety on Facebook -- Automatic regional estimation of myocardial strain using deep learning -- Adversarial LSTM-based Sequence-to-Sequence Model for Drug-related Reactions Understanding -- Structural organization of the server system of multiuser device for home health control -- Analyzing the Most Influencing Factors in Limiting the Spread of COVID-19 Disease -- Performance Comparison of two Java-based Actor Systems -- E-government Research in Africa: A Systematic Review -- Control to Manipulate Robotic Arms using Augmented Reality -- Analysis of Website Quality and City Government's Twitter Accounts in East Java Province, Indonesia (Case Study: Surabaya, Malang, Mojokerto, Pasuruan and Probolinggo) -- How Does Local Government Use The Website And Twitters As Public Services Tools? A Case Study Of Aceh Province Government, Indonesia -- How Does the Local Government Provide Official Website and Twitter Quality? Case Study of three Local Governments of Indonesia -- Cloud Computing Adoption based Digital Open Government Services: challenges and barriers.

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: Control of On-Board Electric Vehicle Charger -- NSGA III based Time-Cost-Environmental Impact Trade-Off Optimization model for Construction Projects -- Wideband Microstrip Stepped Two-Way Power Divider for 3G/4G Applications -- Simulated Annealing Based Time-Cost Trade-Off Model For Construction Projects -- AHP and NSGA II based Time-Cost-Quality Trade-Off Optimization model for Construction Projects -- A Wavelet Based Segmentation Technique For Medical Images.

Abstract: This book presents the outcome of two-day 2nd International e-Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2020) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from December 18–19, 2020. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Abstract: Detection of Denial of Service Attack using Deep Learning and Genetic Algorithm -- Fake Profile Detection and Stalking Prediction on Facebook -- Moving skills- a contributing factor in developmental delay -- Wind speed forecasting for India using machine learning algorithms -- A Comparative Study of Supervised Learning Techniques for Remote Sensing Image Classification -- Postal Service Shop Floor - Facility Layout Evaluation and Selection using Fuzzy AHP Method.

Abstract: This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

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: Air Quality Prediction using Machine Learning -- Machine Learning Based Ensemble Network Security System -- Machine Learning based Air Pollution Prediction -- Intelligent IoT-based Product Dispenser and Billing System -- Speech Emotion Recognition using K-Nearest Neighbor Classifier -- Variants of Fuzzy C-means on MRI Modality for Cancer Image Archives -- Medical Image Encryption using SCAN Technique and Chaotic Tent Map System -- An Approach to Noisy Synthetic Color Image Segmentation using Unsupervised Competitive Self Organizing Map -- Implementing Face Search using HAAR cascade -- A Fast Block-based Technique to Detect Copy-move Forgery in Digital Images -- Bottlenecks in Finite Impulse Response Filter Architectures on a Reconfigurable Platform -- A Detail Analysis and Implementation of HAAR Cascade Classifier -- Sentiment Analysis of Twitter Posts in English, Kannada and Hindi Languages -- An Efficient Algorithm for Fruit Ripeness Detection -- A Comparative Study of Efficient Classification Models -- A Neural Attention Model for Automatic Question Generation using Dual Encoders.

Abstract: This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

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

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: 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.