Applying Computational Intelligence for Social Good: Track, Understand and Build a Better World, Volume 132 presents views on how Computational Intelligent and ICT technologies can be applied to ease or solve social problems by sharing examples of research results from studies of social anxiety, environmental issues, mobility of the disabled, and problems in social safety. Sample chapters in this release include Why is implementing Computational Intelligence for social good so challenging? Principles and its Application, Smart crisis management system for road accidents using Geo-Spacial Machine Learning Techniques, Residential Energy Management System (REMS) Using Machine Learning, Text-Based Personality Prediction using XLNet, and much more.

Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation for solving socially relevant problemsFocuses on Forecasting applications, Human Behavior and Critics response analysis in social forums, Healthcare monitoring Systems, Disaster Management, Industrial management, and most recently, Epidemics and OutbreaksBrings together many different aspects of the current research on intelligence technologies, such as neural networks, support vector machines, fuzzy logic, and evolutionary computation

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges. It covers fundamental theories as well as advanced applications, illustrating how techniques in computational intelligence are transforming engineering practices. The book is organized into distinct sections, each concentrating on specific engineering domains in which computational intelligence assumes a critical role. The bookpresents a methodical coverage of computational intelligence principles and techniques, illustrated by examples from various engineering domainsemphasizes a problem-solving approach, demonstrating how computational intelligence can be used to tackle complex problemsoffers use cases and real-world examples to facilitate targeted learning and understanding, andincludes discussion on ethical considerations, advocating for the responsible use of technology and consideration of societal impactsThis reference book is for engineers, researchers, and scholars interested in computational intelligence techniques in engineering

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges. It covers fundamental theories as well as advanced applications, illustrating how techniques in computational intelligence are transforming engineering practices. The book is organized into distinct sections, each concentrating on specific engineering domains in which computational intelligence assumes a critical role. The book presents a methodical coverage of computational intelligence principles and techniques, illustrated by examples from various engineering domains emphasizes a problem-solving approach, demonstrating how computational intelligence can be used to tackle complex problems offers use cases and real-world examples to facilitate targeted learning and understanding, and includes discussion on ethical considerations, advocating for the responsible use of technology and consideration of societal impacts This reference book is for engineers, researchers, and scholars interested in computational intelligence techniques in engineering

Applying Computational Intelligence for Social Good: Track, Understand and Build a Better World, Volume 132 presents views on how Computational Intelligent and ICT technologies can be applied to ease or solve social problems by sharing examples of research results from studies of social anxiety, environmental issues, mobility of the disabled, and problems in social safety. Sample chapters in this release include Why is implementing Computational Intelligence for social good so challenging? Principles and its Application, Smart crisis management system for road accidents using Geo-Spacial Machine Learning Techniques, Residential Energy Management System (REMS) Using Machine Learning, Text-Based Personality Prediction using XLNet, and much more.

Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation for solving socially relevant problemsFocuses on Forecasting applications, Human Behavior and Critics response analysis in social forums, Healthcare monitoring Systems, Disaster Management, Industrial management, and most recently, Epidemics and OutbreaksBrings together many different aspects of the current research on intelligence technologies, such as neural networks, support vector machines, fuzzy logic, and evolutionary computation

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges. It covers fundamental theories as well as advanced applications, illustrating how techniques in computational intelligence are transforming engineering practices. The book is organized into distinct sections, each concentrating on specific engineering domains in which computational intelligence assumes a critical role. The bookpresents a methodical coverage of computational intelligence principles and techniques, illustrated by examples from various engineering domainsemphasizes a problem-solving approach, demonstrating how computational intelligence can be used to tackle complex problemsoffers use cases and real-world examples to facilitate targeted learning and understanding, andincludes discussion on ethical considerations, advocating for the responsible use of technology and consideration of societal impactsThis reference book is for engineers, researchers, and scholars interested in computational intelligence techniques in engineering

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges. It covers fundamental theories as well as advanced applications, illustrating how techniques in computational intelligence are transforming engineering practices. The book is organized into distinct sections, each concentrating on specific engineering domains in which computational intelligence assumes a critical role. The book presents a methodical coverage of computational intelligence principles and techniques, illustrated by examples from various engineering domains emphasizes a problem-solving approach, demonstrating how computational intelligence can be used to tackle complex problems offers use cases and real-world examples to facilitate targeted learning and understanding, and includes discussion on ethical considerations, advocating for the responsible use of technology and consideration of societal impacts This reference book is for engineers, researchers, and scholars interested in computational intelligence techniques in engineering