This book discusses concepts such as sustainable and smart ecosystems, climate change mitigation and adaptation, and recycling and waste reduction involving collection, treatment, and recycling of wastewater. It further presents the case studies and applications of big data, machine learning, and artificial intelligence.Key Features: Discusses zero carbon structures and communities, climate change mitigation, intelligent infrastructure, and smart grids Highlights the importance of urban planning and design, rules, laws, accreditation, economics, and policy Covers critical infrastructure protection, encompassing difficulties with cyber-physical system stability, security, privacy, and forensics Showcases behaviour analysis, change, observation in urban communities, resilience, and social effects of cities Presents case studies on deploying big data, machine learning, and artificial intelligence in different sectors of smart cities This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, environmental engineering, and computer engineering.

This book discusses concepts such as sustainable and smart ecosystems, climate change mitigation and adaptation, and recycling and waste reduction involving collection, treatment, and recycling of wastewater. It further presents the case studies and applications of big data, machine learning, and artificial intelligence.Key Features: Discusses zero carbon structures and communities, climate change mitigation, intelligent infrastructure, and smart grids Highlights the importance of urban planning and design, rules, laws, accreditation, economics, and policy Covers critical infrastructure protection, encompassing difficulties with cyber-physical system stability, security, privacy, and forensics Showcases behaviour analysis, change, observation in urban communities, resilience, and social effects of cities Presents case studies on deploying big data, machine learning, and artificial intelligence in different sectors of smart cities This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, environmental engineering, and computer engineering.

This book discusses concepts such as sustainable and smart ecosystems, climate change mitigation and adaptation, and recycling and waste reduction involving collection, treatment, and recycling of wastewater. It further presents the case studies and applications of big data, machine learning, and artificial intelligence.Key Features: Discusses zero carbon structures and communities, climate change mitigation, intelligent infrastructure, and smart grids Highlights the importance of urban planning and design, rules, laws, accreditation, economics, and policy Covers critical infrastructure protection, encompassing difficulties with cyber-physical system stability, security, privacy, and forensics Showcases behaviour analysis, change, observation in urban communities, resilience, and social effects of cities Presents case studies on deploying big data, machine learning, and artificial intelligence in different sectors of smart cities This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, environmental engineering, and computer engineering.