Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges
暫譯: 智慧城市發展人工智慧手冊:管理系統與技術挑戰
Makkar, Sandhya, Ravindran, Gobinath, Chakrabortty, Ripon Kumar
- 出版商: CRC
- 出版日期: 2026-10-16
- 售價: $2,880
- 貴賓價: 9.5 折 $2,736
- 語言: 英文
- 頁數: 212
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1041094027
- ISBN-13: 9781041094029
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相關分類:
Machine Learning、大數據 Big-data、區塊鏈 Blockchain
尚未上市,無法訂購
相關主題
商品描述
This handbook explores smart cities of the future, provides an understanding of their development and management systems, and discusses the technology challenges. It also discusses why and how humankind can benefit from them.
Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges covers the whole journey of the development of smart cities, from the foundations to the usage of technologies, including the challenges and issues that policymakers and technologists may face during the concept, development, management, and implementation stage. The book also covers sustainable strategies and safety measures and offers real-life cases and advancements in manufacturing approaches for smart cities. The book includes upcoming AI technologies such as big data analytics, blockchain, machine learning, fault diagnostics, and a lot more.
This handbook is intended to appeal to readers from industry and research. The book is also meant for academicians and students from across many disciplines. Moreover, this book is a medium for consultants, government agencies, and policymakers to grapple with topics and perspectives outside their lane
商品描述(中文翻譯)
本手冊探討未來的智慧城市,協助讀者了解其發展與管理系統,並討論相關的技術挑戰。此外,本書也說明人類為何能夠從智慧城市中受益,以及如何實現這些效益。
《智慧城市發展的人工智慧手冊:管理系統與技術挑戰》涵蓋智慧城市發展的完整歷程,從基礎建設到技術應用,並探討政策制定者與技術專業人員在概念構思、開發、管理及實施階段可能面臨的挑戰與問題。本書也涵蓋永續策略與安全措施,提供智慧城市的實際案例,以及製造方法方面的最新進展。書中納入大數據分析(big data analytics)、區塊鏈(blockchain)、機器學習(machine learning)、故障診斷(fault diagnostics)等新興人工智慧技術,內容不僅於此。
本手冊適合業界與研究領域的讀者,也適合來自不同學科的學者與學生。此外,本書亦可作為顧問、政府機關及政策制定者的參考,協助他們探討自身專業領域之外的主題與觀點。
作者簡介
Dr. Sandhya Makkar is working as Senior Lecturer of Data Analytics in the Department of Digital Analytics & Technologies at Sheffield Hallam University, United Kingdom. Before that, she worked as Area Head for the Department of Operations & Analytics at Lal Bahadur Shastri Institute of Management, Delhi, India. She has more than 15 years of academic and research experience in Optimization, Machine Learning & Big Data Analytics. She remained first class throughout her academic career. She has authored or co-authored numerous research articles that are published in international journals, books and conference proceedings. She is also appointed as Book Series Editor with CRC Press, Taylor and Francis Group. She is also involved in innovations & patent development. See here for more details https: //sites.google.com/view/sandhyamakkar/home
Dr.R. Gobinath is presently serving as Professor and Head of the Department, Civil Engineering of SR University, Telangana, India and also a member of Center for Construction Materials and Methods division. He completed his PhD in the field of Environmental Geotechnology and Disaster Management from Center for Disaster Management and Mitigation, VIT, Vellore, M.E in Environmental Management from College of Engineering, Guindy, Anna University and BE in Civil engineering from Bharathiar University. He had handled several under graduate course in Civil and Environmental engineering including Project management, smart materials and structures, Geosynthetics, Engineering Mechanics etc and also presently handling elective courses related to Disaster Management and Intellectual Property rights in various Universities. His research interests includes Sustainable materials, Construction Materials, Landslide mitigation and Management, Soil Bioengineering, Engineering Education, Geotechnology, Environmental Geotechnology, Sustainable Development, Sustainable construction technologies, he had handled several projects related to this domains in various levels. He also had executed good number of consultancy projects related to Geotechnical and environmental engineering for various organisations. His research profile is available at www.researchid.co/gobinathdpi
Dr Ripon K. Chakrabortty (Senior Member, IEEE) is an Assistant Professor in Systems Engineering & Decision Analytics at the School of Engineering & Information Technology, UNW Canberra, Australia. He is the team leader and founder of 'The Decision Support & Analytics Research Group' at the School of Engineering & Information Technology, UNW Canberra, Australia. He serves as the program coordinator for the Master of Decision Analytics & Master of Engineering at UNSW Canberra. He has written two book chapters and over 170 technical journal and conference papers in multiple prestigious venues. His research interest covers a wide range of topics in Operations Research, Project Management, Supply Chain Management, Artificial Intelligence, and Information Systems Management. Many organisations, such as the Department of Defence and the Commonwealth Government of Australia, have funded his research programs.
Arindam Pal is a Senior Research Scientist at Data61 in Commonwealth Scientific and Industrial Research Organisation (CSIRO), and a Conjoint Senior Lecturer in the School of Computer Science and Engineering at UNSW Sydney. His research interests are in Algorithms, Artificial Intelligence, Data Science, Optimization, and Machine Learning. He works on business and research problems of CSIRO, and collaborates with faculty members of universities, both in Australia and abroad.
He earned his PhD in Computer Science from Indian Institute of Technology Delhi. He has over 15 years of research experience in software companies like Microsoft, Yahoo!, and Novell. He has published academic papers in reputed conferences and journals, and was granted patents in various countries like India, USA, and Europe. He is a technical program member for several reputed conferences and technical reviewer for many renowned journals. He is a leader in the area of algorithms, data science, optimization, and machine learning. He is a Senior Member of both ACM and IEEE.
作者簡介(中文翻譯)
Dr. Sandhya Makkar 目前任職於英國 Sheffield Hallam University 數位分析與技術系(Department of Digital Analytics & Technologies),擔任資料分析(Data Analytics)資深講師。在此之前,她曾任職於印度德里 Lal Bahadur Shastri Institute of Management,擔任營運與分析系(Department of Operations & Analytics)領域主管。她在最佳化(Optimization)、Machine Learning 與 Big Data Analytics 方面,擁有超過 15 年的教學與研究經驗。在學術生涯中,她始終維持優異的學業成績。她曾獨立或與他人共同撰寫多篇研究論文,並發表於國際期刊、書籍及會議論文集。她也獲任命為 CRC Press(Taylor and Francis Group)的書系編輯。除此之外,她亦參與創新與專利開發。更多詳細資訊請參閱:https://sites.google.com/view/sandhyamakkar/home
Dr. R. Gobinath 目前任職於印度 Telangana 的 SR University,擔任土木工程系教授兼系主任,同時也是建築材料與施工方法中心(Center for Construction Materials and Methods)部門的成員。他於 VIT(Vellore Institute of Technology)災害管理與減災中心(Center for Disaster Management and Mitigation)取得環境地工學與災害管理領域的 PhD;於 Anna University 的 Guindy 工程學院取得環境管理碩士學位(M.E.);並於 Bharathiar University 取得土木工程學士學位(B.E.)。
他曾教授多門土木與環境工程領域的大學部課程,包括專案管理、智慧材料與結構、土工合成材料、工程力學等;目前也在多所大學教授與災害管理及智慧財產權相關的選修課程。他的研究興趣包括永續材料、建築材料、山崩減災與管理、土壤生物工程、工程教育、地工技術、環境地工學、永續發展及永續建築技術等,並曾在不同層級主持多項與上述領域相關的研究計畫。他也為多個組織執行過相當數量的岩土工程與環境工程顧問專案。他的研究資料可於 www.researchid.co/gobinathdpi 查閱。
Dr. Ripon K. Chakrabortty(IEEE 資深會員)是澳洲 Canberra 的 UNW 工程與資訊科技學院(School of Engineering & Information Technology)系統工程與決策分析(Systems Engineering & Decision Analytics)助理教授。他是該學院「決策支援與分析研究群」(The Decision Support & Analytics Research Group)的團隊領導者兼創辦人。他也擔任 UNSW Canberra 決策分析碩士(Master of Decision Analytics)與工程碩士(Master of Engineering)課程的協調人。他曾撰寫兩篇書籍章節,以及在多個重要期刊與會議發表超過 170 篇技術論文。他的研究興趣涵蓋作業研究(Operations Research)、專案管理、供應鏈管理、人工智慧、資訊系統管理等廣泛主題。澳洲國防部及澳洲聯邦政府等多個組織,均曾資助他的研究計畫。
Arindam Pal 是澳洲聯邦科學與工業研究組織(Commonwealth Scientific and Industrial Research Organisation,CSIRO)Data61 的資深研究科學家,同時也是 UNSW Sydney 電腦科學與工程學院的合聘資深講師。他的研究興趣包括演算法、人工智慧、資料科學、最佳化及 Machine Learning。他負責處理 CSIRO 的商業與研究問題,並與澳洲及海外各大學的教研人員合作。
他於 Indian Institute of Technology Delhi 取得電腦科學博士學位。他在 Microsoft、Yahoo! 及 Novell 等軟體公司擁有超過 15 年的研究經驗。他曾在知名會議與期刊發表學術論文,並在印度、美國及歐洲等不同國家和地區取得專利。他擔任多個知名會議的技術議程委員,以及許多著名期刊的技術審稿人。他是演算法、資料科學、最佳化及 Machine Learning 領域的專家與領導者,同時也是 ACM 與 IEEE 的資深會員。