Intelligent Urban Infrastructure: Smart Solutions for Sustainable Cities
暫譯: 智慧城市基礎設施：可持續城市的智能解決方案
Goswami, Anurag, Anu, Vaibhav, Suryawanshi, Shubhangi
相關主題
商品描述
Intelligent Urban Infrastructure: Smart Solutions for Sustainable Cities explores how emerging digital technologies are reshaping the design, management, and sustainability of modern cities. This comprehensive volume examines the integration of Artificial Intelligence (AI), Internet of Things (IoT), data analytics, and intelligent automation into critical urban systems such as transportation, energy, water management, healthcare, and public safety. It presents a forward-looking perspective on how infrastructure can evolve to become more adaptive, resilient, and environmentally responsible. The book highlights practical frameworks and technology-driven content that demonstrate measurable improvements in efficiency, cost optimization, and environmental performance. Designed for researchers, postgraduate students, urban planners, engineers, policymakers, and industry professionals, this book serves as a valuable reference for those seeking to understand and implement intelligent infrastructure solutions that enable smarter, greener, and more liveable cities worldwide.
商品描述(中文翻譯)
《智慧城市基礎設施：可持續城市的智慧解決方案》探討了新興數位技術如何重塑現代城市的設計、管理和可持續性。這本全面的著作檢視了人工智慧（Artificial Intelligence, AI）、物聯網（Internet of Things, IoT）、數據分析和智能自動化如何整合進入關鍵的城市系統，如交通、能源、水資源管理、醫療保健和公共安全。它提供了一個前瞻性的視角，說明基礎設施如何演變為更具適應性、韌性和環境責任感的系統。該書強調了實用的框架和以技術為驅動的內容，展示了在效率、成本優化和環境表現方面的可衡量改善。這本書專為研究人員、研究生、城市規劃師、工程師、政策制定者和行業專業人士設計，對於那些希望理解和實施智能基礎設施解決方案，以實現更智慧、更綠色和更宜居的城市的人士來說，這本書是一本寶貴的參考資料。
作者簡介
Anurag Goswami is a Professor at School of CSET at Bennett University, India. With a strong background in Computer Science Engineering and Technology, his research focuses on Empirical Software Engineering, Software Reliability, and Software Quality Improvement. His multidisciplinary approach during his Ph.D. incorporates insights from Cognitive Psychology, Behavioral Science, and biology to address critical issues in Software Engineering. Notably, his work has improved software inspection performance through innovative techniques like eye-tracking and cognitive psychology.
Vaibhav Anu is an Associate Professor of Computer Science at Montclair State University. He joined Montclair State in Fall 2018. Before joining Montclair State, he received a PhD in Software Engineering from North Dakota State University. Dr. Anu is interested in software development planning, analysis, and management, and particularly in improving software quality by improving the processes and practices involved in software development. The primary focus of Dr. Anu's research is on development and empirical validation of effective methods for verification and validation of software artifacts.
Shubhangi Suryawanshi is an accomplished academician and researcher with over 15 years of experience in teaching, research, and academic leadership. She holds a Ph.D. in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning from Bennett University, Greater Noida, and a Master's degree in Computer Engineering from Savitribai Phule Pune University, Pune. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Online and Incremental Learning, Concept Drift Adaptation, Time Series Analysis, Natural Language Processing, and AI applications in advanced manufacturing and material informatics.
Digvijay Bhosale is an accomplished academic and chartered professional with over 15 years of experience in research, industry, and teaching. He holds a Ph.D. in Mechanical Engineering (Machine Learning and Surface Engineering) from Veermata Jijabai Technological Institute (VJTI), Mumbai, India and a Master of Technology (M.Tech.) from Veermata Jijabai Technological Institute (VJTI), Mumbai, India. His research interests span surface engineering, machine learning, tribology, and material processing. Dr. Digvijay has secured funding from multiple organizations to support his research initiatives.
作者簡介(中文翻譯)
Anurag Goswami 是印度班奈特大學計算機科學工程與技術學院的教授。他擁有計算機科學工程和技術的堅實背景，研究重點在於實證軟體工程、軟體可靠性和軟體質量改進。在攻讀博士學位期間，他的多學科方法結合了認知心理學、行為科學和生物學的見解，以解決軟體工程中的關鍵問題。值得注意的是，他的研究通過創新的技術，如眼動追蹤和認知心理學，改善了軟體檢查的性能。
Vaibhav Anu 是蒙特克萊爾州立大學的計算機科學副教授。他於2018年秋季加入蒙特克萊爾州立大學。在加入蒙特克萊爾州立大學之前，他在北達科他州立大學獲得了軟體工程的博士學位。Anu博士對軟體開發規劃、分析和管理感興趣，特別是通過改善軟體開發過程和實踐來提高軟體質量。Anu博士的研究主要集中在開發和實證驗證有效的軟體工件驗證和確認方法。
Shubhangi Suryawanshi 是一位成就卓越的學者和研究人員，擁有超過15年的教學、研究和學術領導經驗。她擁有班奈特大學（Greater Noida）計算機科學與工程的博士學位，專攻人工智慧和機器學習，並在普納的薩維特里拜·普赫勒普納大學獲得計算機工程碩士學位。她的研究興趣包括人工智慧、機器學習、深度學習、在線和增量學習、概念漂移適應、時間序列分析、自然語言處理，以及人工智慧在先進製造和材料資訊學中的應用。
Digvijay Bhosale 是一位成就卓越的學者和特許專業人士，擁有超過15年的研究、行業和教學經驗。他在印度孟買的維爾馬塔·吉賈巴伊技術學院（VJTI）獲得機械工程（機器學習和表面工程）的博士學位，並在同一所學院獲得技術碩士學位（M.Tech.）。他的研究興趣涵蓋表面工程、機器學習、摩擦學和材料加工。Digvijay博士已獲得多個組織的資助，以支持他的研究計劃。
