Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

Abstract: Strategic management of cultural projects - CIM Douro training -- Effects of Internet Access on Tourist Consumption in Mexican Households -- Enhancing Tourist Experiences: Integrating ChatGPT and 360 VR Videos in Tourism and Tourist Psychology -- Residents' perceptions of sustainable tourism development in an emerging destination: a factor-cluster approach -- Data Science in Supporting Hotel Management: application of predictive models to Booking.com guest evaluations -- Organizational Commitment: The role of Organizational Happiness and Quiet Quitting -- Proposal for a Technological Thematic Concept for the Trays Festival Museum -- The Impact of Corporate Governance on Financial Performance: Study for Portuguese Hotel Companies -- The influence of the senior tourist profile on the assessment of the dimensions of well-being and quality of life -- Experiences of Backpackers: an overview of publications -- Importance–Performance Analysis of Oleotourism experience -- Present and Future Digital Media Experiences to Support Travellers’ Decision Process During Online Accommodation Booking: A Systematic Literature Review and Bibliometric Analysis -- Motivating Factors in Choosing a Wine Tourism Destination and Its Impact on Territorial Marketing Policies -- Financial impact of covid-19: perspective from the hospitality and restaurant industry -- The Dynamics of Participant Engagement in a Food Festival: The Soup Congress case in Tomar -- Proposal for the creation of a MOOC on military tourism -- Cross-border tourism: a residents’ perspective of the Iberian Meseta Reserve -- The impact of work-life conflict on employees' emotional well-being and the adoption of quiet quitting – A study case applied to the Portuguese hospitality industry -- Reviving the Templar Tale: Proposal for the creation of an immersive experience through the Templar Heritage of Tomar -- Business Intelligence Tools to Improve Business Strategy -- Technology towards Luxury Brands: preliminary insights on fashion tourism, metaverse and non-fungible token (NFT) -- Applying the Importance-Performance Matrix to the Podence Carnival Festival -- Nutrition Software to the Management and Support of Health and Wellness Tourism: An Approach -- Backpackers’ space-time behaviour in a world heritage City – Porto -- Environmental corporate social responsibility (ECSR) in a price-set competition between private and state-owned hotels -- Tourist Technology Satisfaction: Scale Development and Validation -- Dialogic communication and dialogic loop principle in official websites of tourism – hospitality -- A Fuzzy ELECTRE method to model the risk in credit products for financing tourism experiences -- How wine information seeking and event participation impact knowledge and determines the purchasing behaviour? -- The Role of Sociodemographic Characteristics on the Journey from Brand Experience to Brand Love and Loyalty – Porto. -- Perception of Risk and Identification of Security Measures when visiting Cultural Heritage -- Visiting Porto through the eyes of Eugénio de Andrade -- The Perception of Tourists Regarding the Importance of Influencers in Shaping the Image of a Tourist Destination: The Case of Melgaço (Portugal) -- Social Media and the growth of E-Commerce – Multiple case studies: MusaMakeup and CRU Ecoliving -- Improving accessibility as a strategy for social sustainability in tourism supply -- Fashion as an economic sustainability indicator in tourism destinations’ governance through business participation -- Technology applications in the competitiveness of tourism destinations -- Events Tourism and Hospitality Marketing -- Entrepreneurship and COVID 19: The entrepreneurial challenge in a global pandemic -- Educational Practice: The Domain of Curricular Autonomy (DCA) at Fontes Pereira de Melo School. -- Societies, ICT and Higher Education in the 21st Century: Reflections and Proposals -- The Importance of Digital Marketing in Hospitality: The Case of Hotel Fafense.

Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.

Abstract: Competencies and Skills for Tourism Education Advancement: A Bibliometric Analysis and Literature Review -- The importance of Food & Beverage Service in the cruise passengers -- Environmental sustainability of social and executive events in Ciudad Juárez, Mexico -- Health and economy: a necessary relationship to face the path towards sustainable development in latin america and the caribbean, post covid -- Covid 19 and the challenge of the health, tourism, and economic sectors, towards the path of sustainable development in Latin America and the Caribbean -- The importance of foreign language mastery in the tourism sector -- Tourism Destination Branding as a Marketing Factor: A Short Literature Review with a Focus on Northern Cyprus -- The reality of Blockchain Technology for the Digital Business world -- The Influence of Business Cycles on Corporate Performance: Evidence from Outdoor tourism -- Marketing trade-offs in periods of low and high munificence: A study of tourism enterprises in Uruguay -- Development of a Mobile App as an adjuvant treatment for thermal context patients -- Validation of a Mobile App as an adjuvant treatment for thermal context patients: a randomized controlled trial protocol -- Dark Heritage Tourism in Portugal: a resource to explore -- Adventure tourism in Santo Domingo Province based in an educational proposal -- Sustainable education and the challenges of the contemporary world -- Space tourism: Progress, obstacles and growth prospects bearing in mind public and private projects -- Understanding the Complexities of Leadership and Intersectionality in Women in Tourism Research: A Conceptual Analysis -- The application of information technologies for agrotourism in the municipality of Guapotá, Santander, Colombia -- Dance as representative body language of various Amazonian cultures -- The role of familiness and cultural heritage in touristic family-owned restaurants of Juarez, Mexico -- The Impact of Information Technologies on the tourist experience: Caseof Tabasco, Mexico -- Archaeological Tourism in Pacto - Pichincha based in a tourist educational proposal -- Best Evacuation Simulation Strategies – Analysis of a River Cruise Ship Case -- Local gastronomy and the role of confraternities in tourism valorization. The confraternity of bucho raiano in the promotion of inland tourism -- Music Events, Sustainability and Accessibility: Case Study on the Coldplay Tour in Brazil -- Sustainability and Technological Advancements in Tourism Events: the case of Electric Love Festival (Salzburg, Austria) -- Landscape and nature tourism activities evaluation through social networks -- Attachment theory and sense of place for visitors to Kaz-begi National Park -- The construction of the brand narrative through the creation of corporate museums -- Structuring a gastronomic route on the local sweets and other cultural heritage: The case of The Route of Arouca’s Sweet Secrets -- Cultural Indicators as a Tool for Assessing Sustainable Development in the Alto DouroWine Region -- Itineraries of memory and historical recreation based on mental maps: A Study in Lamego, Portugal -- Community and tourist’s perceptions as contributions to Rural destination development: the Fontoura collab framework pilot -- Building an Irresistible Shopping Experience: The Power of Personality, Subjective Well-Being and Parasocial Relations on the Online Impulse Buying Tendency -- Social media as a marketing strategy in hospitality: case study of the Braga city -- Exploring Tourism Potential in Muş: Embracing Unique Experiences in an Undeveloped Region -- Egocentric networks design in tourism’s indigenous social enterprises -- Motivations of Youth Tourism: The Case of University Students in the Porto and North Region -- Application of Artificial Intelligence in companies in the tourism sector: the case of chatbots -- Rural and community tourism: An alternative in postdevelopment -- Practitioners' Perception Regarding Bio Certified Food in Public Food Units in Brasov -- The influence of the Covid-19 crisis on financial statements manipulations in the Portuguese wine and tourism sector -- Artificial intelligence in education in Cape Verde: potential and challenges -- The climate in different tourist locations affecting chil- dren with bronchial asthma -- Robotics evolves the industry tourism: advantages and challenges -- Young people with asthma on vacation at Aqua Park - Esmeraldas -- The impact of health and wellness tourism on tourists' physical, mental, and emotional balance.

Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.

Abstract: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.

Abstract: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.

Abstract: Personalized Big Data Access: Value for Medical Staff -- Investigating the European Union minimum wage setting mechanisms through the Directive (EU) 2022/2041 -- A Formal Intelligent Metric System for Measuring Cyber Security Maturity -- Modeling the impact of Natural Gas and Oil Price Crisis on Inflation -- Modeling Literary Preferences Using Complex Networks and Centrality Measures -- Impact of personalization on improving a chatbot’s performance. Case study for a banking virtual assistant -- Analyzing the antecedents of fake news sharing in online social networks -- The Costs of Virtual Solutions for the Educational System -- Production and Transportation Model with Environmental Pollution Constraints -- Regional Development and the Role of Public Sector Digital Maturity -- Exploring the Relationship Between Income Inequality and Education: An Analysis Using PISA Test Results and the Gini Coefficient -- Educational Innovations Based on Metaverse in the Development of Smart Cities -- A Citation-based Scientometric Analysis of Published Articles from Bucharest University of Economic Studies -- Main Characteristics and Cyber Security Vulnerabilities of IoT Mobile Devices -- Attitudes towards digital transformation in economics education -- Personalized Big Data Access: Value for Medical Staff -- A Quantitative Approach to Default Probability Estimation using the ZPP Model: a Study for LUNA and FTT Virtual Currencies -- Leveraging Website Analytics to Enhance User Experience with Pop-ups and Drive Sales Conversions -- Application of Artificial Intelligence techniques in the detection of Financial Bubbles -- An Analytical Framework for Pervasive Games in The Cultural Sector: Expanding the Boundaries of Play in 8 Dimensions -- The Use of Blockchain Technology for Managing a Voting Process.

Abstract: This book includes high-quality research papers presented at 22nd International Conference on Informatics in Economy (IE 2023), which is held in Bucharest, Romania, during May 2023. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.

Abstract: Automatic Pathological Myopia detection using Ensemble Model -- Biased Online Media Analysis Using Machine Learning -- Multi-Robot Formation Control using Integral Third Order Super-Twisting Controller in Cyber-Physical Framework -- Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and Unstructured GPS Denied Environments -- Dynamics and Control of Quadrupedal Robot -- Automated Identification of Tachyarrhythmia from Different Datasets of Heart Rate Variability using a Hybrid Deep Learning Model -- Application of Complex Network Principles to Identify Key Stations in Indian Railway Network -- A review on transliterated text retrieval for Indian languages -- Disturbance Observer based Sliding Mode Controller with Mismatched Disturbance for Trajectory Tracking of a Quadrotor -- An Intelligent Game Theory Approach for Collision Avoidance of Multi-UAVs -- Revolutionary Solutions for Comprehensive Assessment of COVID–19 Pandemic -- Learning-Based Smart Parking System -- Coverless Information Hiding: A Review -- Manipulating muscle activity data from Electromyography for various applications using artificial intelligence -- Aerial Object Detection using Different Models of YOLO Architecture: A Comparative Study -- Anomalous Human Activity Detection using Stick Figure and Deep Learning Model -- Noise Removal in ECG Signals utilizing Fully Convolutional DAE -- Sensor-Based Secure Framework for IOT based Smart Homes -- Sketch-based face recognition -- Simplified TOPSIS for MLN-MODM problems -- Hidden Markov Modelling for Biological Sequence -- A Novel Ensemble Model to Summarize Kannada texts.

Abstract: The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2021) held online during 27–28 December, 2021. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.

Abstract: Part 1: Algorithms -- Chapter 1. Predicting Useful Information From Typing Patterns Using A Bootstrapped-based Homogeneous Ensemble Approach -- Chapter 2. Path Dependencies in Bilateral Relationship-Based Access Control -- Chapter 3. A robust approach to document skew detection -- Part 2: Smart systems and Networks -- Chapter 4. MBLEACH: Modified Blockchain Based LEACH Protocol -- Chapter 5. Community Detection in Large and Complex Networks Using Semi-local Similarity Measure -- Chapter 6. Evaluation of SVM Kernels With Multiple Uncorrelated Feature Subsets Selected By Multiple Correlation Methods for Reflection Amplification DDoS Attacks Detection -- Chapter 7. BLRS: An Automated Land Records Management System using Blockchain Technology -- Part 3: Machine Learning -- Chapter 8. Classification of Kathakali Asamyuktha Hasta Mudras Using Naive Bayes Classifier and Convolutional Neural Networks -- Chapter 9. Multi-objective fuzzy reliability redundancy allocation for xj-out-of-mj system using fuzzy rank based multi-objective PSO -- Chapter 10. Image Binarization With Hybrid Adaptive Thresholds -- Chapter 11. BEN-CNN-BiLSTM: A Model of Consequential Document Set Identification of Bengali Text -- Part 4: Smart Healthcare -- Chapter 12. A Machine Learning Model for Automatic Sleep Staging based on Single-channel EEG signals -- Chapter 13. Deep learning-based prediction of time-series single cell RNA-seq data -- Chapter 14. Stress Analysis Using Machine Learning -- Chapter 15. Deep Learning towards Brain Tumor Detection using MRI images. etc.

Abstract: This book features a collection of high-quality research papers presented at the 9th International Symposium on Applied Computing for Software and Smart systems (ACSS 2022), to be held during September 09–10, 2022 in Kolkata, India. The book presents innovative works by undergraduate, graduate students and as well as PhD scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.

Abstract: Big Data Direct Search Algorithm Based on Linear Programming -- Intelligent Traffic Signal Control System Based on Machine Learning Algorithm -- Traffic Spatial Data Management System Based on Data Mining -- Design of Intelligent Prefabricated Building Real-Time Safety Management Monitoring Platform Based on Optimization Algorithm -- Design of Automatic Call-test System for Charging Pile IoT Data Based on NB-IoT -- Using Deep Neural Network Learning Technology to Design of Intelligent Network Crawler on Big Data Platform -- Machine Translation Quality Evaluation Model Based On Data Mining Algorithm -- A Framework of Computer Network Security (NS) System and Its Application -- Application of Computer Technology (CT) in 5G Communication Network -- Application of Mobile Virtual Reality to Computer Graphics and Image Processing Technology -- Online Teaching System of French on Demand Based on Streaming Media Technology -- Development of Industry-University-Research Institute Collaborative Innovation Information Platform Based on Spring MVC Framework -- Design of Public Health Incident Warning System Based on Decision Tree Model ID3 Algorithm -- Vehicle Engineering Smart Device based on Wearable Technolog -- Algorithm Design of Online Education Platform Based on Simulation Experiment -- Bridge Structure Reinforcement and Reconstruction Technology Based on Mobile Navigation BIM -- Construction of Operation and Maintenance System of 5G New Media Platform Big Data System -- Urban Electric Vehicle Public Charging Network Based on 5G and Big Data -- Voice Compression Coding Scheme of Ground Penetrating Wireless Communication in Mines Based on Fuzzy Delta Modulation -- Peak-type Markov Chain and Its Application Research in Electrical Prediction -- Research on Optimization of Power Logistics Tracking System based on Smart Supply Chain -- Intensive Management of Distribution Network Scheduling Operation Based on Artificial Intelligence -- Personalized Teaching Knowledge Recommendation System Based on Artificial Intelligence Algorithm -- Target Detection and Tracking Technology of Aerobics Sports Training Based on Hybrid Algorithm -- Research on Power Material Supply Method Based on Smart Contract System -- Short-time Prediction Analysis Algorithm of Traffic Flow in Transportation Hubs Based on Cell Phone Signaling Data -- Population Prediction Analysis Based on Convolutional Neural Network Algorithm -- Clothing Style Design Based on Image Processing Technology and Psychology -- An Algorithm for New Energy Battery SOH Prediction based on Deep Learning -- Anti-Lock Braking System of New Energy Vehicle Based on online Algorithm Perspective -- Fatigue Life Prediction of Road Beams Based on Artificial Bee Colony Algorithm and Traffic Simulation -- Prediction and Realization of Brand Loyalty by Brand Community Content Marketing Based on Digital-Intelligent Algorithm System -- Fast-ICA Algorithm in Industrial Control Network Anomaly Detection System -- A Quantitative Evaluation Model of Computer Audit Risk in Network Environment -- Python Data Analysis Techniques in Administrative Information Integration Management System -- Artificial Psychology Modeling System based on Interactive Genetic Algorithm -- Optimization System of Rural Landscape Environment Based on Interactive Genetic Algorithm -- Electric Power Marketing Measurement Management System Based on Computer and Internet Technology -- Model Design of Digital Economy Management System Based on Neural Network Algorithm -- Research on Speech Adversarial Sample Attack based on APA -- 2D/3D Visualization Realization of Power Grid Operation Monitoring System Based on Big Data -- Campus Culture Intelligent Communication System based on Improved Genetic Algorithm -- Three-Pillar Model of HR in the Context of Digital Transformation -- Sports Video Image Analysis System Based on SIFT Algorithm -- Ultra-short-term Wind Speed Prediction for Wind Farms Based on Multi-objective Optimization Algorithm in the Context of Smart Grid -- Key Technologies of Dynamic Network Virtual Simulation -- Research on Probe Preparation and Control Circuit Design of Thermal Anemometer Based on Neural Network -- Development of Intelligent Garbage Classification System Based on WeChat Applets -- Safety Analysis and Design of Artificial Intelligence System Based on Sensor and AI Technology -- Construction of E-Commerce Logistics Management Mode based on VR Technology in the Background of 5G -- Multi-temporal Land Cover Segmentation via Trans-ConvLSTM -- Construction of library database security system supported by SQL Server technology -- Clustering mining method analysis of human resources big data driven by swarm intelligence algorithm -- Application of mathematical modeling in preventing computer virus infection.-Intelligent vulnerability association algorithm based on association rule mining -- Integrated monitoring system of substation operation and maintenance security state based on cloud computing -- Communication Boundary Stealth Technology of Power Internet of Things Terminal Network -- Secure Access of IoT Terminals in Special Scenarios -- Research on Security Encryption Algorithm of Marketing service data in rural areas of State Grid Corporation -- Data transmission technology of Internet of Things based on ISSA algorithm -- Design and application of 3D Geographic Information visualization System based on Skyline -- Internet information processing technology based on big data analysis -- Distribution route optimization method of chain convenience store based on improved genetic Algorithm -- Intellectual property protection method based on block chain technology -- Computer Network Security Evaluation based on Neural network algorithm -- Research and application of Performance Management System in Higher Vocational Colleges based on data Mining -- Tourist flow forecast based on data mining technology -- Security classification algorithm analysis of State Grid power data based on Internet of things -- Optimization strategy of Machine translation algorithm for English long Sentences based on Semantic relations -- Application of Computer Aided design in mechanical design and manufacture -- Internet of things Services based on genetic K-Means clustering algorithm -- Two-dimensional dynamic graphics and its application in computer graphic design -- Research on library distributed big data storage technology -- Application of Internet of things technology in intelligent building -- Application of ant colony algorithm in power grid data management -- E-commerce credit evaluation method based on Bayesian algorithm -- Analysis of English machine translation methods based on intelligent fuzzy decision tree algorithm -- Trusted Identity Access Authentication based on spa Single Packet Authentication Technology -- Investigation on data cleaning and analysis technology for power industry Big data -- Application of cloud computing in data processing of audit system -- Design and application of personalized recommendation module for English writing marking system under theme model -- Baseline model of high-sensitivity data transfer in power grid business -- Short - term power load forecasting algorithm based on combination forecasting method -- Research on data security and encryption technology in network transmission -- A novel hierarchical storage system for different types of data -- Deep Learning-based Malicious Illegal Traffic Identification -- Data transmission security strategy of management system based on dual chain architecture.

Abstract: This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of 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: A Brief Review of Tools to Promote Transdisciplinary Collaboration for Addressing Climate Change Challenges in Agriculture by Model Coupling -- Machine Learning and Deep Learning in Agriculture – A review -- Need of orchestration platform to unlock the potential of remote sensing data -- An Algorithmic Framework for fusing images from satellites, Unmanned Aerial Vehicles (UAV), and Farm Internet of Things (IoT) Sensors -- Globally Scalable and Locally Adaptable Satellite Solutions for Agriculture -- A Theoretical Framework of Agricultural Knowledge Management Process in the Indian Agriculture Context -- Simple and innovative methods to estimate gross primary production and transpiration of crops: a review -- Role of Virtual Plants in Digital Agriculture -- Remote sensing for mango and rubber mapping and characterisation for carbon stock estimation– Case study of Malihabad tahsil (UP) and West Tripura District, India -- Impact of Vegetation Indices on Wheat Yield Prediction using Spatio-Temporal Modeling -- Farm-wise estimation of crop water requirement of major crops using deep learning architecture -- Hyperspectral Remote Sensing for Agriculture Land Use and Land Cover Classification -- Computer Vision Approaches for Plant Phenotypic Parameter Determination.

Abstract: This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.

Abstract: Chapter 1. Design, Development, and Implementation of Software Engineering Virtual Laboratory: A Boon to Computer Science and Engineering (CSE) Education during Covid-19 Pandemic -- Chapter 2. Political Communication and Election Result: Facebook Account Analysis Jambi Governor Candidates in the 2020 Regional Election -- Chapter 3. Estimating the intervals between Mount Etna eruptions -- Chapter 4. Sentiment Enhanced Smart Movie Recommendation System -- Chapter 5. A Machine Learning Model for Predictive Maintenance of a Stepper Motor using Digital Simulation Data -- Chapter 6. Impact of pollutants on temperature change and forecasting temperature of US cities -- Chapter 7. Hybrid Precoding schemes for mmWave massive MIMO systems - A Comprehensive survey -- Chapter 8. Optimized Web Service Composition Using Hybrid Evolutionary Algorithms -- Chapter 9. Organization Security Framework - A Defensive Mechanism -- Chapter 10. Trusty medicare: An online virtual care system -- Chapter 11. Blockchainbased Remote Construction Monitoring Using UAV in SITL Simulation -- Chapter 12. Papaya Diseases Detection using GLCM Feature Extraction and Hyperparatuning of Machine Learning Approach -- Chapter 13. Image Forgery and Image Tampering Detection Techniques: A Review -- Chapter 14. Low Voltage Ride Through for a Three phase Grid Integrated Single- Stage Inverter-Based Photo Voltaic System using Fuzzy Logic Control -- Chapter 15. Automated Detection of Malaria Parasite from Giemsa - Stained Thin Blood Smear Images. etc.

Abstract: This book features high-quality research papers presented at the 3rd International Conference on Sustainable Expert Systems (ICSES 2022), held in Nepal during September 9–10, 2022. The book focuses 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: This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of 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: 1. Architecture -- 2. MapReduce -- 3. Security and Privacy -- 4. Services and Applications -- 5. Virtualization. .

Abstract: The book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022). The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry.

Abstract: Rules Extraction Methods from Neural Networks -- Quality Analysis of the Ganges River Water Utilizing Machine Learning Technologies -- Eye-Tracking Movements – A Comparative Study -- Cybersecurity Imminent Threats with Solutions in Higher Education -- A two-level fuzzy model for filtering signals of the automatic dependent surveillance-broadcast -- Towards More Robust Multiclass Aerial Solar Panel Detection and Classification -- PlantML: Some Aspects of Investigation on Deployment of Machine Learning Algorithm for Detection and Classification of Plants -- Big Data Analytics Based Recommendation System Using Ensemble Model -- Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects by General Type-2 Fuzzy Reasoning -- Checkpoint based Round-robin Scheduling Technique towards Fault Tolerant Resource Management in Cloud Computing -- Cost Optimised Community-Based Influence Maximization -- A Novel Model for Automated Identification of Terrestrial Species -- Fish Detection from Underwater images using YOLO and its Challenges -- Design and Realization of an IoT Based System for Real-Time Monitoring Of Embryo Culture Conditions in IVF CO2 Incubators -- FPGA Implementations and Performance Analysis of Different routing Algorithms for the 2D-Mesh Network-on-Chip -- A Comparative Analysis of Non-Gradient Methods of Class Activation Mapping -- Deep Learning based Weight Initialization on Multi-layer Perceptron for Image Recognition -- Assessment of Air Quality as a Positive Impact of COVID-19 Lockdown with reference to an Industrial City and a Populated City of India -- Applications of Big Data in Various Fields: A Survey -- Performance Analysis of Healthcare Information in Big Data NoSql platform -- IoT Based Smart Internet Protocol Camera for Examination Monitoring -- Efficient Low Complexity Message Passing Algorithm for Massive MIMO Detection -- An Effective Community-Based Greedy Approach over Selected Communities for Influence Maximization.

Abstract: This book gathers extended versions of papers presented at DoSIER 2022 (Fourth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during 22–23 December 2022). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Abstract: Part I: Artificial Intelligence -- Extractive Text Summarization Using Syntactic Sub- Graph Models -- Analysis of Big Five Personality Factors to determine the Appropriate Type of Career using the C4.5 Algorithm -- Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention -- Dissemination Management for Official Statistics Using Artificial Intelligence-Based Media Monitoring -- Part II: Computational Vision -- A Naive but Effective Post-Processing Approach for Dark Channel Prior (DCP) -- COVID-19 Face Mask Classification Using Deep Learning -- Gender Classification Using Transfer Learning and Fine-Tuning -- Multi-Language Recognition Translator by Using the Convolutional Neural Network (CNN) Algorithm and Optical Character Recognition (OCR) -- Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques -- Part III: Cybersecurity -- Phishing Attack Types and Mitigation: A Survey -- A Review of Privacy Protection Methods for Smart Homes Against Wireless Snooping Attack -- Development of Graph-Based Knowledge on Ransom-Ware Attacks Using Twitter Data -- Part IV: Big Data Analytics -- BigMDHealth: Supporting Multidimensional Big Data Management and Analytics over Big Healthcare Data via Effective and Efficient Multidimensional Aggregate Queries over Key-Value Stores (Prof Alredo's paper) -- Design and Implementation of Data Warehouse Solution at Kumpulan Wang Persaraan (KWAP) -- Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics -- Big Data Application on Prediction of HDD Manufacturing Process Performance -- Visualising Economic Situation Through Malaysia Economic Recovery Dashboard (MERD) -- Part V: Machine/Deep Learning -- Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning -- Plant Growth Phase Classification Using Deep Neural Network -- The Implementation of Genetic Algorithm-Ensemble Learning on QSAR Study of Diacylglycerol Acyltransferase-1(DGAT1) Inhibitors as Anti-Diabetes -- Classification of Exercise Game Data for Rehabilitation Using Machine Learning Algorithms -- SDDLA: A New Architecture for Secured Decentralized Distributed Learning -- Gated Memory Unit: A Novel Recurrent Neural Network Architecture for Sequential Analysis -- Multi-Class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier -- Predicting Risks of Late Delivery to Online Shopping Customers Using Machine Learning Techniques -- Quora Insincere Questions Classification Using Attention Based Model -- Suicide Ideation Detection: A Comparative Study of Sequential and Transformer Hybrid Algorithms -- Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches -- Deep Learning-Based Approach for Classifying the Severity of Metal Corrosion Using SEM Images -- Insurance Risk Prediction Using Machine Learning -- Loan Default Forecasting Using StackNet -- Part VI: Statistical Learning -- Neural Network Autoregressive Model for Forecasting Malaysia Under-5 Mortality -- Robustness of Support Vector Regression and Random Forest Models: A Simulation Study -- The Impact of Restrictions Community Activities on COVID-19 Transmission: A Case Study in Sumatra Island, Indonesia -- Predicting Internet Usage for Digital Finance Services: Multitarget Classification Using Vector Generalized Additive Model with SMOTE-NC -- Part VII: Text Mining and Classification -- Identifying Topic Modeling Technique in Evaluating Textual Datasets -- Y-X-Y Encoding for Identifying Types of Sentence Similarity -- Evaluation of Extractive and Abstract Methods in Text Summarization.

Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

Abstract: Part I: Fostering Intelligent Education and Smart Cities -- Academic Staff Perceptions and Attitudes Towards Learning Analytics -- Enhancing Load Evaluation in Intelligent Tutoring Systems through Velocity-Based Training -- Intelligent Tutoring System and Learning: Complexity and Resilience -- How Cities Can Learn: Key Concepts, the Role of ICT, and Research Gaps -- Smart Cities and Smart Regions Roadmap -- Part II: Telepresence Technology in Education -- TelePresence – Social Justice for the Online “Other”? -- HoloLearn: Towards a hologram-mediated hybrid education -- Using telepresence robots for remote participation in technical subjects in higher education -- Part III: Digital Transformation in Education -- The Transformation of Art Teaching Process: A Qualitative Study of Digital Mediated Teaching -- Digital Turn in Social Work Education and Practice -- Sustainable digital transition with students’ experience and smartphones at D. Maria II school cluster -- An Evaluation of Participatory Video as Teaching Digital Storytelling against Climate-driven Inequalities -- Part IV: Exploring Game-Based Learning and Gamification in Education -- Implementation of Minecraft in Education to Introduce Sustainable Development Goals: Approaching Renewable Energy through Game-based Learning -- A Systematic Mapping Review of Research Concerning the Use of Games in Teacher Training -- Unplugging Math: Integrating Computational Thinking into Mathematics Education Through Poly-Universe -- Design of an Adaptive Hybrid Gamification Teaching Method and Its Practice in Computer Science and Animation Teaching.

Abstract: The book brings together the contributions of the 8th International Conference on Smart Learning Ecosystems and Regional Development aimed at promoting reflection and discussion on the relevance of smart learning ecosystems for regional development and social innovation (e.g., schools, campuses, working places, informal learning contexts) and on how the effectiveness of the relation of citizens and smart ecosystems can be boosted. This forum is interested 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 contributes to fostering the social innovation sectors and ICT, economic development, and deployment strategies alongside new policies for smarter proactive citizens.

Abstract: Chapter 1. Context-Aware Classrooms as Places for an Automated Analysis of Instructional Events Philippe Dessus -- Chapter 2. Student smartphone experience narratives mediated by the phygital school library for learning ecosystems -- Chapter 3. Space and time in hybrid teaching and learning environments: two cases and design principles -- Chapter 4. The Italian School Ecosystems two years after the lockdown: an overview on the "digital shock" triggered by the pandemic in the perceptions of schools’ principals and teachers -- Chapter 5. Automated Paragraph Detection using Cohesion Network Analysis -- Chapter 6. Assessing Readability Formulas in the Wild -- Chapter 7. pROnounce: Automatic Pronunciation Assessment for Romanian -- Chapter 8. Community pacts and we4SLE as tools to support the implementation of Smart Learning Ecosystems -- Chapter 9. Digital Games as Tools of Innovative Pedagogy in Education -- Chapter 10. Environment Challenges of E-learning in Higher Education – the Teachers’ Perspective -- Chapter 11. Parents' voices: inclusion of students with Intellectual and Developmental Disabilities in higher education -- Chapter 12. Deidentification of Student Writing in Technologically Mediated Educational Settings -- Chapter 13. Conceptualising Micro-Credentials in the Higher Education Research Landscape. A Literature Review -- Chapter 14. Reaction of the university ecosystem to the pandemics in a mid-east country: the case of IRAQ - A compared analysis of students' and teachers' perceptions.

Abstract: The book brings together the contributions of the 7th International Conference on Smart Learning Ecosystems and Regional Development (SLERD 2022), which aims at promoting reflection and discussion concerning R&D work, policies, case studies, and 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: Micro-Services as Key Enabler of a Cloud-Native Architecture -- The Importance of Security and Safety in a Smart City -- Cyber Range Technology Stack Review -- IOT Security Challenges for Smart Homes -- An Overview of Security Issues in Smart Contracts on the Blockchain -- Agile Business Systems Development Paradigms – Technological and Human Resource Perspectives -- Identification of Qualitative Weak Signals Coming from Asset Management Working Practices to Feed Forward-Looking Investment Pensions Funds Models -- Digital Competences in the Public Sector – Challenges for Universities -- Transport System in Bucharest -- General Characteristics of the Assisted E-Learning System in Computer Science -- E-Learning in Romania: An Overview on Software Solutions from Private Initiatives.

Abstract: This book includes high-quality research papers presented at 21st International Conference on Informatics in Economy (IE 2022), which is held in Bucharest, Romania, during May 2022. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.

Abstract: AgriBlockchain: Agriculture supply chain using blockchain -- A Triple Band High Gain Antenna Using Metamaterial -- Hybrid Energy Systems Integrated Power System Imbalance Cost Calculation using Moth Swam Algorithm -- Lightweight Privacy Preserving Framework at Edge Layer in IoT -- Concept drift aware analysis of learning engagement during Covid 19 pandemic using adaptive windowing -- MPA Optimized Model Predictive Controller for Optimal Control of an AVR system -- Optimal Power Flow Considering Uncertainty of Renewable Energy Sources Using Meta-Heuristic Algorithm -- Remote Sensing Image Fusion Based on PCA and Wavelets -- Physical Layer Security in MIMO Relay Based Cognitive Radio Network -- Weighted Low Rank and Sparse Matrix Decomposition Models for Separating Background and Foreground in Dynamic MRI -- A Novel Approach For Bug Triaging Using TOPSIS -- Energy Efficient Resource Allocation in Cognitive Radio Networks -- A Hybrid Feature Selection Framework for Breast Cancer Prediction using Mutual Information and AdaBoost-RFE -- Internet of Things enabled Irrigation System in Precision Agriculture -- Medical Internet of Things and Data Analytics for Post-Covid Care: An Analysis -- ECG Biometric Recognition by Convolutional Neural Networks with Transfer Learning using Random Forest Approach -- Design and Analysis of a Metamaterial Based Butterworth Microstrip Filter -- A Review of Financial Fraud Detection in E-Commerce using Machine Learning.

Abstract: The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.

Abstract: A Novel Single Switch High Gain Flyback DC-DC Converter for Small Scale Lightning -- Learning Based Model for Auto Form Filling -- Fatality Prediction in Road Accidents Using Neural Networks -- Managing Peer Review Process of Research Paper -- Internet of Things Based Centralised Water Distribution Monitoring System -- StakePage: Analysis of Stakeholders of an Information System using Page Rank Algorithm -- Violence Recognition from videos using Deep Learning -- Stock Price Prediction Using Machine Learning -- Brain Tumor Detection using Deep Learning -- Predicting Chances of Cardiovascular Diseases through Integration of Feature Selection and Ensemble Learning -- Feedback Analysis of Online Teaching Using SVM -- DCGAN for Data Augmentation in Pneumonia Chest X-Ray Image Classification -- Fair Quality of Voice Over WiMAX Coexisting of WiFi Networks for Video Streaming Applications -- An Empirical overview on DDOS: Taxonomy, Attacks, Tools and Attack Detection Mechanism -- Histopathology Osteosarcoma Image Classification.

Abstract: This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2022) held at SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during 3 – 4 June 2022. 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: A Stochastic Weighted Model for Task Scheduling and Resource Utilization in the Cloud -- A Study on Accident Detection systems using Machine Learning -- A Systematic Analysis of the Computational Intelligence Techniques for Fake News Detection -- A Non Conventional Pre-Processing Method for Financial Risk Analysis Data -- An energy-efficient deep neural network model for photometric redshift estimation -- A Contemporary Analysis of Privacy Preserving Strategies in MANET -- An Advanced Approach to Detect Plant Diseases by the Use of CNN based Image Processing -- A Gravitational Search Algorithm Study on Text Summarization using NLP -- A Deep Learning Model for Arabic Fake News Detection Based on Transformers -- A Novel Optimization Algorithm for Heart Attack Prognostic Process -- A Certain Investigation of MEMS for Optimized Sensor Coverage -- Cervical Cancer Prediction Using Optimized Meta Learning -- Classification of Cervical Cells Using Deep Learning Feature Extraction -- Avian Influenza Prediction Using Machine Learning -- An Investigation on the Detection of Intrusions into a Network Using Convolutional Neural Networks -- Analyzing Data Streams with Different Flavors of Distributed Data Mining -- Analyze Dark Web and Security Threats -- Analysis of Metaheuristic Algorithms for Optimized Extreme Learning Machines in Various Sectors -- Cryptocurrency Trading Bot with Sentimental Analysis and Backtracking using predictive ML -- Artificial Intelligence Based Data Analytics Techniques in Medical Imaging -- Hate speech and offensive language detection in Twitter data using machine learning classifiers -- Machine Learning and Recommendation System in Agriculture: A survey and possible extensions -- Initial intrusion detection in Advanced Persistent Threats (APT’s)using Machine Learning -- Equipment Planning for an Automated Production Line Using a Cloud System.

Abstract: This book features a collection of high-quality, peer-reviewed research papers presented at the 10th International Conference on Innovations in Computer Science & Engineering (ICICSE 2022), held at Guru Nanak Institutions, Hyderabad, India, on 16–17 September 2022. 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: A Smart System to Classify Walking and Sitting Activity based on EEG Signal -- Monitoring urban water-logging using SAR - A Mumbai case study -- Suspicious Event Detection of Cargo Vessels based on AIS Data -- Identifying Trends using Improved Affinity Propagation (IMAP) Clustering Algorithm on Evolving Data Stream -- Graphology based behavior prediction : Case study analysis -- Statistics Driven Suspicious Event Detection of Fishing Vessels based on AIS Data -- Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides -- Prakruti Nishchitikaran of Human Body using Supervised Machine Learning Approach -- X-ABI: Towards Parameter Efficient Multilingual Adapter Based Inference for Cross-Lingual Transfer -- Comparative Study of Depth Estimation from 2-D Scene Using Deep Learning Model -- DCNN-based Transfer Learning approaches for Gender Recognition -- Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning -- Real-time learning towards assets allocation -- Named Entity Recognition over Dialogue Dataset using Pre-trained Transformers -- A Comparative Study of Distance-based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis -- Economical Solution to Automatic Evaluation of an OMR Sheet Using Image Processing -- Defense and evaluation against covert channel based attacks in Android smartphones -- From Bricks to Clicks: The Potential of Big Data Analytics for Revolutionizing the Information Landscape in Higher Education Sector -- Data science approaches to public health: case studies using routine health data from India -- Arboviral Epidemic Disease Forecasting - A Survey on Diagnostics and Outbreak Models -- Convolution Neural Network for Weed Detection -- Machine Learning Model for Brain Stock Prediction -- Analysis of Covid-19 Genome using Continuous Wavelet Transform.

Abstract: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. The volume is a collection of peer reviewed research papers presented at Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held during 20 – 22 January, 2023 in Pune, India. 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: Big Data Analysis by Means of RMT-Oriented Methodologies -- Formulation of the RMT-PCA -- RMT-PCA and Stock Markets -- The RMT-test: New Tool to Measure the Randomness of a Given Sequence -- Application of the RMT-test -- Conclusion -- Appendix I: Introduction to vector, inner product, correlation matrix -- Appendix II: Jacobi’s rotation algorithm -- Appendix III: Program for the RMT-test -- Appendix IV: RMT-test applied on TOIPXcore30 index time series in 2014 -- Appendix V: RMT-test applied on TOIPX index time series in 2011-2014.

Abstract: This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal component analysis, randomness tests, and visualization methods, the authors' approach has the benefits of universality and simplicity of data analysis, regardless of data types, structures, or specific field of science. First, mathematical preparation is described. The RMT-PCA and the RMT-test utilize the cross-correlation matrix of time series, C = XXT, where X represents a rectangular matrix of N rows and L columns and XT represents the transverse matrix of X. Because C is symmetric, namely, C = CT, it can be converted to a diagonal matrix of eigenvalues by a similarity transformation SCS-1 = SCST using an orthogonal matrix S. When N is significantly large, the histogram of the eigenvalue distribution can be compared to the theoretical formula derived in the context of the random matrix theory (RMT, in abbreviation). Then the RMT-PCA applied to high-frequency stock prices in Japanese and American markets is dealt with. This approach proves its effectiveness in extracting "trendy" business sectors of the financial market over the prescribed time scale. In this case, X consists of N stock- prices of length L, and the correlation matrix C is an N by N square matrix, whose element at the i-th row and j-th column is the inner product of the price time series of the length L of the i-th stock and the j-th stock of the equal length L. Next, the RMT-test is applied to measure randomness of various random number generators, including algorithmically generated random numbers and physically generated random numbers. The book concludes by demonstrating two applications of the RMT-test: (1) a comparison of hash functions, and (2) stock prediction by means of randomness, including a new index of off-randomness related to market decline.

Abstract: A Detailed Survey on Network Intrusion Detection in Cloud using different Techniques -- Adoption of Network Function Virtualization Technology In Education -- An Efficient Secure Cloud Image Deduplication with Weighted min-hash Algorithm -- An Intelligence Security Architecture for mitigating DDOS Attack in CloudIOT Environment -- Automated Activity Scheduling Using Heuristic Approach -- Automated Helpline Service Using a Two-Tier Ensemble Framework -- Big Data Security: Attack's Detection Methods using Digital Forensics -- Decentralized Expert System for Donation Tracking and Transparency -- Design of Wireless-Cloud based Transmission Intelligent Robot for Industrial Pipeline Inspection and Maintenance -- Evaluation of security of Cloud Deployment Models in Electronic Health Records -- Leasing in IaaS Cloud using Queuing Model -- Resource Allocation using MISO-NOMA Scheme with Clustering Technique -- Self-Adaptive Hadoop Cluster for Data Analysis Applications -- Sustainable Cloud Computing in the Supply Chain -- Task Scheduling in Fog assisted Cloud Environment using Hybrid Metaheuristic Algorithm.

Abstract: The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. 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. The thrust of the book is to showcase different research chapters dealing with the design, development, implementation, testing and analysis of intelligent systems, and expert clouds, and also to provide empirical and practical guidelines for the development of such systems.

Abstract: Entropy measure for the linguistic intuitionistic fuzzy set -- Principal component analysis and correlation coefficient-based decision-making approach for stock portfolio selection -- Determination of Thickness and Refractive Indices of Thin-Films from Reflectivity Spectrum using Rao-1 Optimization Algorithm -- Deep Sea Debris Detection using YOLOIncep Network -- Precipitation Forecasting: LSTM Modelling in Visual Analytic Frame work -- Cyclone Forecasting Before Eye Formation Using Deep-Learning -- Efficient Approach for Malware Detection Using Machine Learning Classifier -- Distances from Fuzzy Implications -- Real Time quick Fog removal Technique for supporting vehicles on hilly routes amid dense fog -- Deep learning based approach for outlier detection in wireless sensor network -- Predicting Kidney Tumor Using Convolutional Neural Network (CNN) -- Comparative Analysis of Cognitive Services in popular cloud platforms -- A Survey on Efficient Neural Network Compression Techniques -- Implementation of Reliable Post-Disaster Relief -- Communication Network Using Hybrid Secure Routing Protocol -- Compact Metamaterial Octagonal Antenna for Wireless Body Area Network -- A survey on different techniques for Anomaly detection -- A Scholastic Comprehensive study on 6G Wireless Communication System -- A Modified LSB Steganography Algorithm to Store Images of Large Size.

Abstract: The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 – 30 December, 2022. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.

Abstract: This book features selected papers presented at International Conference on Data Analytics and Computing (ICDAC 2022), organized by Department of Mathematics, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China held during 28–29 May 2022. This book includes state-of-the-art current trends in data science, data analytics optimization, soft computing and related areas. Its primary readers are post graduate students, researchers and academic professionals.

Abstract: Introduction -- Active learning – what, when, and where to deploy? -- Active learning – review (cases) -- Active learning – methodology -- Active learning – validation -- Case study: Is my cough sound Covid-19?.

Abstract: Future epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and deep structures, raises a fundamental question: how big data is big enough to effectively tackle future epidemics? In this context, active learning, often referred to as human or expert-in-the-loop learning, becomes imperative, enabling machines to commence learning from day one with minimal labeled data. In unsupervised learning, the focus shifts toward constructing advanced machine learning models like deep structured networks that autonomously learn over time, with human or expert intervention only when errors occur and for limited data—a process we term mentoring. In the context of Covid-19, this book explores the use of deep features to classify data into two clusters (0/1: Covid-19/non-Covid-19) across three distinct datasets: cough sound, Computed Tomography (CT) scan, and chest x-ray (CXR). Not to be confused, our primary objective is to provide a strong assertion on how active learning could potentially be used to predict disease from any upcoming epidemics. Upon request (education/training purpose), GitHub source codes are provided.

Abstract: The Coming of the Era of Big Data -- Sketch of the Development of Big Data in China -- Managing Changes in the Era of Big Data -- Thoughtless Decision-making versus Big Data Thinking -- Leadership in the Era of Big Data -- Enterprise Management in the Era of Big Data -- Big Data Promotes the Construction of Digital China -- Governance Modernization and Governance Digitization -- Data Security and Risk Management -- Big Data, Big Opportunity, and Big Future -- Conclusion How to Adapt to the Era of Big Data.

Abstract: This book is the first practical case study on the application of big data in China's government management scenarios, which is important for comprehensively presenting the achievements of China's e-government and digital construction as well as deeply understanding the implementation of big data strategy in China. The author of this book is one of the earliest practitioners engaged in the study of big data applications, and has personally experienced the development, major events, application cases, and industry changes of big data in China. Cases in this book are all actual projects carried out. The author of this book explains the development history of big data she has personally experienced, presenting in an easy-to-understand way the basic concept and characteristics of big data and practical interpretation, which provides important reference for the practical work of government and enterprise managers. The application ideas of big data in management innovation are proposed, and scenarios are described and discussed in terms of accelerating research on sharing big data in government affairs, breaking barriers, realizing data flow information sharing, creating one-stop services, improving the corresponding policy system for sharing big data in government affairs, building public information platform for e-government, and strengthening network and information infrastructure. Especially for the government personnel in departments, this book will give them a better understanding of the charm and value of big data, intuitively understand the utilization and analysis of big data, carry out effective government management and make correct decisions, so as to improve the data literacy of organizations and individuals, form scientific support for their own government's decision-making and management, thus promote the continued construction of digital government, digital China, and digital economy era based on the application of big data.

Abstract: Chapter 1. A bibliometric analysis on the role of artificial intelligence in healthcare -- Chapter 2. Supervised Intelligent Clinical Approach for Breast Cancer Tumour Categorisation -- Chapter 3. Health Monitoring and Integrated Wearables -- Chapter 4. A Comprehensive Review Analysis of Alzheimer Disorder using Machine Learning Approach -- Chapter 5. Machine Learning Techniques in Medical Image: A Short Review -- Chapter 6. Analysis of Diabetic Retinopathy Detection Techniques using CNN Models -- Chapter 7. Experimental Evaluation Of Brain Tumor Image Segmentation and Detection Using CNN Model -- Chapter 8. Effective Deep Learning Algorithms for Personalized Healthcare Services -- Chapter 9. Automatic lung carcinoma identification and classification in CT images using CNN deep learning model -- Chapter 10. Augmented Intelligence: Deep Learning Models for Healthcare -- Chapter 11. Sentiment analysis and emotion detection with healthcare perspective -- Chapter 12. Augmented Intelligence in Mental healthcare: Sentiment analysis & emotion detection with healthcare perspective -- Chapter 13. NLP applications for big data analytics within healthcare -- Chapter 14. Cognitive Computing Driven Healthcare: A Precise Study -- Chapter 15. Cognitive Techniques for Brain Disorder Management: A Future Trend -- Chapter 16. Relevance of Blockchain in Revolutionizing Health Records -- Chapter 17. A Systematic Review on Blockchain Technology: Concepts, Applications, and Prospects in Healthcare -- Chapter 18. Integrated Machine Learning Models for Enhanced Security of Healthcare data -- Chapter 19. Symptoms based Biometric Pattern Detection and Recognition -- Chapter 20. Time Series Analysis of COVID 19 waves in India for Social Good -- Chapter 21. Detection of COVID-19 using A Multi-Scale Deep Learning Network:Covid-MSNet -- Chapter 22. Immersive Technologies in the Healthcare Space -- Chapter 23. Artificial Intelligence in Telemedicine: A Brief Survey -- Chapter 24. Infectious Diseases Reporting System Using Naïve Bayes Classification Algorithm -- Chapter 25. A Comprehensive Study of Explainable Artificial Intelligence In Healthcare.

Abstract: The book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions.

Abstract: Part I -- Introduction -- Part II -- Data models and machine learning techniques for big data -- Infrastructure, platform, application, business, social and mobile cloud -- Cloud and data privacy -- Data analytics in Cloud -- Big Data & cloud technologies for business and applications and research -- Index.

Abstract: This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This book primarily focuses on the application of knowledge that promotes ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike.

Abstract: Solving Graph Coloring Problem Using Ant Colony Optimization, Simulated Annealing And Quantum Annealing – A Comparative Study -- Computer Assisted Diagnosis and Neuroimaging of Baby Infants -- Early Prediction of Ebola Virus Using Advanced Recurrent Neural Networks -- A Three-Step Fuzzy based BERT Model for Sentiment Analysis -- Mayfly Algorithm Based PID Controller for LFC of Multi Sources Single Area Power System -- Group Key Management Techniques for Secure Load Balanced Routing Model -- Search Techniques for Data Analytics with focus on Ensemble Methods -- A Survey on Underwater Object Detection -- COVACDISER: A Machine Learning based Web Application to Recommend the Prioritization of COVID-19 Vaccination -- Research of High-Speed Procedures for Defuzzification Based on the Area Ratio Method -- A Single Qubit Quantum Perceptron for OR and XOR Logic -- Societal Gene Acceptance Index Based Crossover in GA for Traveling Salesman Problem -- The method of automated neuro-fuzzy calibration of geometrically distorted images of digital X-ray tomographs.

Abstract: This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

Abstract: Impact of working capital on the profitability of companies in the tourism sector in Ecuador -- Seasonal Autoregressive Integrated Moving Average Time Series Model for Tourism Demand: the Case of the Island of Sal, Cape Verde -- Green Designs in Hydraulics – Construction Infrastructures for Safe Agricultural Tourism and Sustainable Sports Tourism Facilities Mitigating Risks of Tourism in Crisis at post COVID-19 era -- Firm performance in Portuguese outdoor tourism industry: the corporate governance -- Green marketing trends in specific contexts of tourism and music festivals: preliminary insights -- Exploring the dynamic capabilities of businesses to cope with COVID-19 challenges -- Safety Seal Clean & Safe and recovery of tourism marketing in the (post) pandemic context -- Creation of a Mobile app Prototype for Internationaliza-tion of Rūta’s Products -- Technologies at the service of education: present and future -- Soft Skills in Action: Developing Tourism Students Skills through Interdisciplinarity -- Tracking technologies in tourism: a bibliometric and content review -- CSR and SDGs contribution to hotels resilience in COVID-19 days -- The perceived effects of events in tourism: The case of the festivities of the Romaria de Nossa Senhora d’Agonia, Viana do Castelo, Northwest of Portugal -- Digital nomads: a growing trend in hospitality in Portugal -- The Importance of Industry 4.0 for a Company -- Digital Transformation in Travel Agencies - The Opinon of Portuguese Travellers -- Health Tourism Monitor System Model.

Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2021), held at the University of Cartagena, in Cartagena de Indias, Colombia, from 4 to 6 November 2021. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.

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

Abstract: This book features a collection of high-quality, peer-reviewed papers presented at the Second International Conference on Ubiquitous Intelligent Systems (ICUIS 2022) organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India during 10 – 11 March 2022. The book covers topics such as cloud computing, mobile computing and networks, embedded computing frameworks, modelling and analysis of ubiquitous information systems, communication networking models, big data models and applications, ubiquitous information processing systems, next-generation ubiquitous networks and protocols, advanced intelligent systems, Internet of things, wireless communication and storage networks, intelligent information retrieval techniques, AI based intelligent information visualization techniques, cognitive informatics, smart automation systems, healthcare informatics and bioinformatics models, security and privacy of intelligent information systems, and smart distributed information systems.

Abstract: U-Healthcare Solutions’ Acceptance for Adults -- The Effectiveness of a Multimedia Mobile Application -- An Analysis of Different Browser Attacks and Exploitation Techniques -- A General Cost Model in a Cloud Data Center -- Opportunities and Disadvantages of Using Mobile Technologies Based on Cloud in Learning.

Abstract: This book includes high-quality research papers presented at 20th International Conference on Informatics in Economy (IE 2021), which is held in Bucharest, Romania during May 2021. The book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data-mining and machine learning, quantitative economics.

Abstract: Chapter 1. Improvement of QoS Parameters of IoT Networks using Artificial Intelligence -- Chapter 2. Early Diagnosis of Alzheimer’s Disease Using ACO Optimized Deep CNN Classifier -- Chapter 3. Performance Evaluation of Throughput and End to End Delay using an Optimized Cluster based Data Forwarding (OCDF) Protocol -- Chapter 4. Three Level Synthesıs of Biometrics for Secured Authorization System with Hybrid Optimization -- Chapter 5. A Deep Learning based Residual Network model for Traffic Sign Detection and Classification -- Chapter 6. AI based Automated Fruits & Vegetables Quality Inspection for Smart Cities -- Chapter 7. A Survey on Energy Efficient Approaches in Wireless Sensor Networks -- Chapter 8. Lean-SE: Framework combining Lean Thinking with the SDLC Process -- Chapter 9. A Comparative Study on Augmented Analytics using Deep Learning Techniques -- Chapter 10. A Comparative Analysis of Pneumonia Detection using Various Models of Transfer Learning -- Chapter 11. Performance Enhancement of Suspension System of an Electric Vehicle using Nature Inspired meta-heuristic Optimization Algorithm -- Chapter 12. Advancements in Healthcare: Multi-Agent based Intelligent Sensor Approach -- Chapter 13. Comprehensive Analysis on Security Threats Prevalent in IoT based Smart Farming Systems -- Chapter 14. Detection of Brain Tumors - a Comparative Analysis of Various Transfer Learning Methods -- Chapter 15. Synthesis and Research of Orthonormal Functions based on Chebyshev–Legendre Polynomials for Simulation.

Abstract: This book features a collection of high-quality, peer-reviewed papers presented at International Conference on Ubiquitous Intelligent Systems (ICUIS 2021) organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India, during April 16–17, 2021. The book covers topics such as cloud computing, mobile computing and networks, embedded computing frameworks, modeling and analysis of ubiquitous information systems, communication networking models, big data models and applications, ubiquitous information processing systems, next-generation ubiquitous networks and protocols, advanced intelligent systems, Internet of things, wireless communication and storage networks, intelligent information retrieval techniques, AI-based intelligent information visualization techniques, cognitive informatics, smart automation systems, healthcare informatics and bioinformatics models, security and privacy of intelligent information systems, and smart distributed information systems.

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: 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: Preface -- Chapter 1 Introduction -- Chapter 2 Big Data Analysis of Energy Economics in Oil Market -- Chapter 2 Big Data Analysis of Energy Economics in Oil Market -- Chapter 3 Big Data Analysis of Energy Economics in Coal Market -- Chapter 4 Big Data Analysis of Energy Economics in Wind Power Market -- Chapter 5 Big Data Analysis of Energy Economics in Photovoltaic Power Generation Market -- Chapter 6 Big Data Analysis of Power Market Energy Economics -- Chapter 7 Big Data Management of Smart City Energy Conservation and Emission Reduction -- Chapter 8 Optimization Analysis of Clean Energy Transformation -- Chapter 9 Global Energy Internet Green and Low-Carbon Energy Economic Innovation. .

Abstract: This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure. This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy.

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: Using Machine Learning, Image Processing & Neural Networks to Sense Bullying in K-12 Schools: Enhanced -- Feature based Comparative Study of Machine Learning Algorithms for Credibility Analysis of Online Social Media Content -- Smart support system for navigation of visually challenged person using IOT -- Identity Based Video Summarization -- Security Testing for Blockchain enabled IoT system.

Abstract: This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22–23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies.

Abstract: Introduction to Blockchain Technology -- Blockchain Revolution from 1.0 to 5.0: Technological Perspective -- Decentralization and Architecture of Blockchain Technology -- Basics of Cryptographic Primitives for Blockchain Development -- Smart Contracts for Building Decentralized Applications -- Distributed Consensus for Permissionless Environment -- Mining Procedure in Distributed Consensus -- Distributed Consensus for Permissioned Environment -- Consensus Scalability in Blockchain Network -- Building Trust in Blockchain Network using Collective Signing -- Adoption of Blockchain in Enterprise Computing -- Blockchain for Supply Chain Management -- Blockchain for Government Services -- Impact of Blockchain on Academic Publishing.

Abstract: Blockchain is an emerging technology platform for developing decentralized applications and data storage, over and beyond its role as the technology underlying the cryptocurrencies. The basic tenet of this platform is that it allows one to create a distributed and replicated ledger of events, transactions, and data generated through various IT processes with strong cryptographic guarantees of tamper resistance, immutability, and verifiability. Public blockchain platforms allow us to guarantee these properties with overwhelming probabilities even when untrusted users are participants of distributed applications with the ability to transact on the platform. Even though, blockchain technology has become popularly known because of its use in the implementation of cryptocurrencies such as BitCoin, Ethereum, etc.; the technology itself holds much more promise in various areas such as time stamping, logging of critical events in a system, recording of transactions, trustworthy e-governance, etc. It introduces theoretical and practical aspects of blockchain technology. The book includes an in-depth insight into the need for decentralization, smart contracts, consensus both permissioned and permissionless, and various blockchain development frameworks, tools, and platforms. It can be used as a learning resource for various examinations and certifications related to cryptocurrency and blockchain technology. This book explained the nuts and bolts of blockchain technology in lucid language to make students more familiar with the implementation perspective of this much-needed technology.

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: 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: Revenue Management within Covid-19 -- The Importance of the Maintenance Area in the Hotel Sector -- Price Elasticity of Overnight Stays: Testing Veblen's Conjecture across Portuguese Regions -- Cooperation Strategies for the Strengthening of Tourism Inside of the Pacific Alliance Framework as an Alternative for Economic Reactivation in Colombia and Mexico -- Pro-environmental Behaviors at Home and During a Tourism Trip: a Generational Perspective.

Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2021), held at the University of Cartagena, in Cartagena de Indias, Colombia, from 4 to 6 November 2021. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.

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

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

Abstract: Introduction -- Technology Talks: The Evolution and Rhetoric of Smartcities -- Projects for Smart Cities: Ecosystems, Connected Intelligence and Innovation Driving the Radical Transformation of Cities -- The Histories of New (Geo)politics of Smart Villages Communities in a Global World: A Contribution to Geographical Debate -- Identifying, Mapping and Measuring Europe’s Smart Cities and Digital Divides: Hyperlink Variations in Primary, Secondary and Tertiary Cities -- Role of Smart Dustbin in Creating a Smart Environment -- Smart Technologies and Aging Society -- Conceptual Model of Mixed-methods Civic Engagement Infrastructure Using Cloud-based Computing Combined with On-site Engagement and Action Projects -- Digital Placemaking: An Analysis of Citizen Participation in Smart Cities -- Historian for a Day: A Use Case of Augmented Reality in Civic Engagement.

Abstract: “Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South.

Abstract: Adaptive Learning Content based on Learning Styles in Learning Management System -- A model-based approach for COVID-19 propagation -- Numerical modeling of the mechanical behavior of recycled flexible PVC loaded with different percentages of chicken feathers -- Covid-19 detection from Pneumonia image classification using Deep Learning -- Towards the Prediction of the Elasticity of Bio Loaded Poly propylene Using Artificial Neural Networks -- Post covid-19: Deep image processing AI to analyze social distancing in a human community.

Abstract: This book presents the papers included in the proceedings of the 2nd International Conference of Advanced Computing and Informatics (ICACIn’21) that was held in Casablanca, Morocco, on May 24–25, 2021. The main theme of the book is “Advances on Smart and Soft Computing.” A total of 71 papers were submitted to the conference, but only 44 papers were accepted and published in this book. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT), information security, cloud computing, networking and computational informatics.

Abstract: This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Abstract: Deep Learning for Supervised Learning -- Deep Learning for Unsupervised Learning -- Support Vector Machine for Regression -- Support Vector Machine for Classification -- Decision Tree for Regression -- Higher Order Neural Networks -- Competitive Learning -- Semi-supervised Learning -- Multi-objective Optimization Techniques -- Techniques for Feature Selection/Extraction -- Techniques for Task Relevant Big Data Analysis -- Techniques for Post Processing Task in Big Data Analysis -- Customer Relationship Management.

Abstract: This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.

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: 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: 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: Automated Flower Species Identification by using Deep convolution neural network -- Information Retrieval for Cloud Forensics -- Machine Translation System Combination with Enhanced Alignments using Word Embeddings -- Geometry Based Machining Feature Retrieval with Inductive Transfer Learning -- Grapheme to phoneme conversion for Malayalam Speech Using encoder-decoder Architecture -- Usage of Block Chain Technology in e-Voting System using Private Block Chain -- Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning -- Deep Learning based Mosquito Species detection using Wingbeats frequencies -- Developments in Capsule Network Architecture: A Review -- Computer aided segmentation of polyps using Mask R-CNN and approach to reduce false positives -- Image GPT with Super Resolution.

Abstract: This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 – 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines. .

Abstract: Introduction to Society 5.0 -- Modernization and Innovative Development in Society 5.0 -- Introduction to smart big data analytics and smart real-time analytics in Society 5.0 -- Conceptual Analysis and Applications of Bigdata in Smart Society -- Cybersecurity in Society 5.0 -- Challenging Aspects of Data Preserving Algorithms in IoT Enabled Smart Societies.

Abstract: The book discusses Society 5.0 which fills the gap between cyber and physical space by providing a balanced environment between economic and social needs. The book is divided into two parts; part A focuses on various concepts related to Society 5.0 such as cyber space, physical space, information management and digital transformation. Part B discusses various integrated fields in Society 5.0, such as super-smart healthcare system, super-smart hospitality system, smart building, and transport management system. It also illustrates the concepts of big data, real-time analytics for smart Society 5.0 with an insight of real-time case studies.

Abstract: Artificial Intelligence in Pollution Control and Management: Status and Future Prospects -- Artificial Intelligence and Environmental Health: A Platform Ecosystem Perspective -- Artificial Intelligence in Real-time Rainfall-Runoff Modelling and Flood Forecasting -- Cross-Validation of Circular Economy Causal Network Maps -- Smart Cities Energy Trading Platform Based on a Multi-Agent Approach -- Near Real-time Fire Management and Environmental Sustainability: Towards a Machine Learning Approach to Monitor Oil Pipeline Spill Fires with MODIS Fire Products in Nigeria -- Application of Cloud-based Machine Learning Approach to Analyse Remotely Sensed Data for Coastal Monitoring in Bangladesh -- Commercial Photovoltaic Performance Optimization using Genetic Algorithms -- Artificial Intelligence in Wastewater Treatment Systems in the Era of Industry 4.0: A Holistic Review -- Rough set Approach to Pharmaceutical Process Waste Reduction.

Abstract: The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.