Integrated Smart Technologies for Sustainable Water Systems Using Computer Applications
暫譯: 整合智慧科技於可持續水系統的電腦應用

《整合智慧科技於可持續水資源系統的計算應用》全面探討了尖端計算技術如何徹底改變水資源管理。這本跨學科的指南展示了人工智慧（AI）、物聯網（IoT）系統及新興數位技術的實際整合，以應對水文學、水力學、水質及智慧基礎設施發展中的關鍵挑戰。

本書系統性地檢視了包括AI、機器學習、物聯網、區塊鏈、雲端與邊緣計算及地理資訊系統等先進技術在各種水資源管理情境中的應用。透過理論模型、演算法方法及來自發展中國家和已開發國家的實際案例研究，展示了AI驅動的水需求與水質預測、物聯網支持的即時配水網路監控、區塊鏈在透明水資源交易中的應用、智能洪水預測系統、自動化灌溉方法、污水處理自動化及動態基礎設施建模的數位雙胞胎開發等關鍵發現。本書獨特地融入了可解釋的AI、氣候韌性框架及數位雙胞胎技術等新興概念，使其位於當前產業與學術研究趨勢的最前沿。

這本重要資源專為專注於水資源管理及可持續技術應用的研究人員、業界專業人士、軟體開發者、教育工作者及學生而設計。內容在基礎見解與進階方法之間取得平衡，對於尋求全面理解的新手及希望實施尖端解決方案的經驗豐富的從業者而言，均具有同等價值。

Srikanta Kumar Mohapatra is currently serving as a professor in the Department of Computer Science and Engineering at Chitkara University, India. He has more than 18 years of combined teaching and industrial experience. He has published over 70 research articles in reputed national and international journals and conferences and served as a member of editorial and reviewer boards for leading publishing houses. He has authored three reference books and co-edited 1 book. He has filed/published more than 20 patents, out of which 15 patents have been granted. Recently, he received the CSE Excellence Award from Chitkara University in recognition of his significant contributions to patents and the CRISP initiative. His research interests include Artificial Intelligence, Machine Learning, Blockchain, Cloud Computing, and Computational Nanotechnology.

Monika Sethi is currently serving as a professor in the Department of Computer Science and Engineering at Chitkara University, India. Her research interests focus on image processing (ADNI-MRI Images), deep learning, machine learning, and wireless sensor networks. Her teaching interests include C, C++, Python, data structures, operating systems, computer system architecture, computer graphics and digital electronics. She has published 20+ research papers in international journals and conferences (Scopus Indexed) and filed 14 patents (9 granted and 5 published). She is a member of the IEI. She holds a MTech in Power Efficient Hierarchical Centralized Routing in WSN from NIT Hamirpur and a PhD degree in computer science from Chitkara University, India.

Shivani Sood is currently serving as an assistant professor in the School of Computer Applications at Lovely Professional University, Phagwara, Punjab, India. Her research interests focus on pattern recognition, machine learning, image processing, and data science. Her teaching interests include Python, Java, C/C++ and advanced data structures. She has filed 2 patents and published 10 articles in international journals and conferences. She holds a master's degree in data guard configuration and management from Sri Sai College of Engineering College, and a Ph.D. degree in computer science from Chitkara University, Punjab, India.

Abhineet Anand is a distinguished academician and researcher with over 24 years of experience in teaching, research, and academic administration. He currently serves as the Dean of the School of Computer Science and Engineering at Bahra University, Shimla Hills, where he has been instrumental in bridging the gap between academia and industry. His research interests include Cloud Computing, Cloud Security, Decision Trees, Nearest Neighbour Methods, Clustering, Rule Induction, Optical Fiber Switching in Wavelength Multiplexing, and Automata Theory. He has an extensive publication record, with more than 65 Scopus-indexed papers, 14 SCI papers, and 16 papers in International Conferences to his credit. Additionally, he has contributed to 12 International Journals and has edited 8+ books, showcasing his expertise in emerging technologies. He has been a session chair/co-chair and a Technical Program Committee member for over 20 international conferences. He is also a thesis supervisor for Liverpool John Moores University through upGrad Education Pvt. Ltd., reflecting his global academic engagement. As a passionate advocate for innovation and interdisciplinary research, he has co-edited several books, including Bio-Inspired Optimization for Medical Data Mining and the newly published Internet of Medicine for Smart Healthcare.

Jayashree Mohanty is currently serving as an Assistant professor at Chandigarh University, Punjab, India. She has more than 15 years of teaching and industrial experience. She has published numerous research articles in journals and conferences of international repute. She has also acted as the member of reviewer board for leading publishing houses and international conferences. Her research interests include blockchain technology, bigdata engineering, Artificial Intelligence and Machine Learning.

Srikanta Kumar Mohapatra 目前擔任印度 Chitkara 大學計算機科學與工程系的教授。他擁有超過 18 年的教學和工業經驗，並在知名的國內外期刊和會議上發表了超過 70 篇研究文章，還曾擔任多家知名出版社的編輯和審稿委員會成員。他著有三本參考書籍並共同編輯了一本書。他已申請/發表超過 20 項專利，其中 15 項專利已獲得授權。最近，他因在專利和 CRISP 計畫方面的重大貢獻而獲得 Chitkara 大學的 CSE 卓越獎。他的研究興趣包括人工智慧、機器學習、區塊鏈、雲計算和計算奈米技術。

Monika Sethi 目前擔任印度 Chitkara 大學計算機科學與工程系的教授。她的研究興趣集中在影像處理（ADNI-MRI 影像）、深度學習、機器學習和無線感測器網路。她的教學興趣包括 C、C++、Python、資料結構、作業系統、計算機系統架構、計算機圖形學和數位電子學。她在國際期刊和會議上發表了 20 多篇研究論文（Scopus 索引），並申請了 14 項專利（9 項已授權，5 項已發表）。她是 IEI 的成員，擁有 NIT Hamirpur 的 WSN 中的節能分層集中路由的碩士學位，以及印度 Chitkara 大學的計算機科學博士學位。

Shivani Sood 目前擔任印度 Punjab Phagwara 的 Lovely Professional University 計算機應用學院的助理教授。她的研究興趣集中在模式識別、機器學習、影像處理和數據科學。她的教學興趣包括 Python、Java、C/C++ 和進階資料結構。她已申請 2 項專利並在國際期刊和會議上發表了 10 篇文章。她擁有 Sri Sai 工程學院的數據保護配置與管理碩士學位，以及印度 Chitkara 大學的計算機科學博士學位。

Abhineet Anand 是一位傑出的學者和研究人員，擁有超過 24 年的教學、研究和學術管理經驗。他目前擔任 Shimla Hills 的 Bahra 大學計算機科學與工程學院院長，並在縮短學術界與產業之間的距離方面發揮了重要作用。他的研究興趣包括雲計算、雲安全、決策樹、最近鄰方法、聚類、規則歸納、波長多工中的光纖切換和自動機理論。他擁有豐富的出版記錄，發表了超過 65 篇 Scopus 索引的論文、14 篇 SCI 論文和 16 篇國際會議論文。此外，他還為 12 本國際期刊做出了貢獻，並編輯了 8 本以上的書籍，展示了他在新興技術方面的專業知識。他曾擔任 20 多個國際會議的會議主席/共同主席和技術程序委員會成員。他還是 Liverpool John Moores University 的論文指導教師，通過 upGrad Education Pvt. Ltd. 反映了他的全球學術參與。作為創新和跨學科研究的熱情倡導者，他共同編輯了幾本書籍，包括 Bio-Inspired Optimization for Medical Data Mining 和新出版的 Internet of Medicine for Smart Healthcare。

Jayashree Mohanty 目前擔任印度 Punjab Chandigarh 大學的助理教授。她擁有超過 15 年的教學和工業經驗，並在國際知名的期刊和會議上發表了大量研究文章。她還曾擔任多家知名出版社和國際會議的審稿委員會成員。她的研究興趣包括區塊鏈技術、大數據工程、人工智慧和機器學習。