Artificial Intelligence Techniques in Iot Sensor Networks
暫譯: 物聯網感測器網路中的人工智慧技術

《物聯網感測器網路中的人工智慧技術》是一本技術書籍，適合對人工智慧（AI）、感測器網路和物聯網（IoT）感興趣的研究人員、學者、學生和專業人士閱讀。本書旨在發展對於當前及近期人工智慧技術應用的共同理解。該書描繪了人工智慧技術的技術影響、應用及其對感測器網路解決方案設計的影響。

本書以清晰且組織良好的方式向研究人員和有志於學術界的人介紹了感測器網路中人工智慧應用的最新發展和趨勢。這本書主要對於從事感測器網路和人工智慧技術研究的學者非常有用。此外，從事感測器網路即時應用設計的專業人士和實務工作者也能直接受益於本書。此外，任何與人工智慧、物聯網和感測器網路相關的研究生和碩士生都會發現這本書對於開發專家系統或即時應用非常吸引人。

本書使用簡單易懂的語言，討論基本概念，減輕了對於該領域早期背景的要求。基於這一預期和經驗，許多圖書館將對擁有這本書的副本感興趣。

Dr. Mohamed Elhoseny is an Assistant Professor at the Department of Computer Science, College of Computer & Information Technology, American University in the Emirates (AUE). Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. He received his Ph.D. in Computers and Information from Mansoura University/University of North Texas through a joint scientific program. Dr. Elhoseny is the founder and the Editor-in-Chief of IJSSTA journal published by IGI Global. Also, he is an Associate Editor at IEEE Journal of Biomedical and Health Informatics, IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, and International Journal of E-services and Mobile Applications. Moreover, he served as the co-chair, the publication chair, the program chair, and a track chair for several international conferences published by recognized publishers such as IEEE and Springer. Dr. Elhoseny is the Editor-in-Chief of the Studies in Distributed Intelligence Springer Book Series, the Editor-in-Chief of The Sensors Communication for Urban Intelligence CRC Press-Taylor& Francis Book Series, and the Editor-in-Chief of The Distributed Sensing and Intelligent Systems CRC Press-Taylor& Francis Book Series.

K. Shankar is currently a Postdoctoral Fellow with Department of Computer Applications, Alagappa University, Karaikudi, India. He has authored/coauthored over 54 ISI Journal articles (with total Impact Factor 150+) and more than 100 Scopus Indexed Articles. He has guest-edited several special issues at many journals published by SAGE, TechScience, Inderscience and MDPI. He has served as Guest Editor and Associate Editor in SCI, Scopus indexed journals like Elsevier, Springer, IGI, Wiley & MDPI. He has served as chair (program, publications, Technical committee and track) on several International conferences. He has delivered several invited and keynote talks, and reviewed the technology leading articles for journals like Scientific Reports - Nature, the IEEE Transactions on Neural Networks and Learning Systems, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Reliability, the IEEE Access and the IEEE Internet of Things. He has authored/edited Conference Proceedings, Book Chapters, and 2 books published by Springer. He has been a part of various seminars, paper presentations, research paper reviews, and convener and a session chair of the several conferences. He displayed vast success in continuously acquiring new knowledge and applying innovative pedagogies and has always aimed to be an effective educator and have a global outlook. His current research interests include Healthcare applications, Secret Image Sharing Scheme, Digital Image Security, Cryptography, Internet of Things, and Optimization algorithms.

Mohamed Abdel-Basset received the B.Sc., M.Sc., and Ph.D. degrees in information systems and technology from the Faculty of Computers and Informatics, Zagazig University, Egypt. His current research interests are optimization, operations research, data mining, computational intelligence, applied statistics, decision support systems, robust optimization, engineering optimization, multiobjective optimization, swarm intelligence, evolutionary algorithms, and artificial neural networks. He is working on the application of multiobjective and robust meta-heuristic optimization techniques. He is also an/a Editor/reviewer in different international journals and conferences. He has published more than 150 articles in international journals and conference proceedings. He holds the program chair in many conferences in the fields of decision making analysis, big data, optimization, complexity, and the Internet of Things, as well as editorial collaboration in some journals of high impact.

穆罕默德·艾爾霍森尼博士是阿聯酋美國大學（AUE）計算機與信息技術學院計算機科學系的助理教授。艾爾霍森尼博士是ACM傑出演講者及IEEE高級會員。他在曼蘇拉大學/德克薩斯州立大學通過聯合科學計劃獲得計算機與信息學的博士學位。艾爾霍森尼博士是IGI Global出版的IJSSTA期刊的創始人及主編。此外，他還擔任IEEE生物醫學與健康信息學期刊、IEEE Access、Scientific Reports、IEEE未來方向、遙感及國際電子服務與移動應用期刊的副編輯。此外，他曾擔任多個國際會議的共同主席、出版主席、程序主席及專題主席，這些會議由IEEE和Springer等知名出版商出版。艾爾霍森尼博士是Springer書系《分佈式智能研究》的主編、《城市智能傳感器通信》CRC Press-Taylor & Francis書系的主編，以及《分佈式感知與智能系統》CRC Press-Taylor & Francis書系的主編。

K. Shankar目前是印度卡賴庫迪阿拉卡帕大學計算機應用系的博士後研究員。他已發表/合著超過54篇ISI期刊文章（總影響因子150+）及超過100篇Scopus索引文章。他曾擔任多個由SAGE、TechScience、Inderscience和MDPI出版的期刊的特刊客座編輯。他在SCI、Scopus索引的期刊中擔任過客座編輯和副編輯，如Elsevier、Springer、IGI、Wiley和MDPI。他在多個國際會議中擔任過主席（程序、出版、技術委員會和專題）。他曾發表多場受邀和主題演講，並為《Scientific Reports - Nature》、《IEEE神經網絡與學習系統期刊》、《IEEE生物醫學與健康信息學期刊》、《IEEE可靠性期刊》、《IEEE Access》和《IEEE物聯網期刊》等期刊審稿。他已發表/編輯會議論文集、書籍章節及2本由Springer出版的書籍。他參加過各種研討會、論文發表、研究論文審稿，並擔任多個會議的召集人和會議主席。他在不斷獲取新知識和應用創新教學法方面取得了巨大成功，並始終致力於成為一名有效的教育者，擁有全球視野。他目前的研究興趣包括醫療應用、秘密圖像共享方案、數字圖像安全、密碼學、物聯網及優化算法。

穆罕默德·阿卜杜勒·巴賽特在埃及扎卡齊格大學計算機與信息學院獲得信息系統與技術的學士、碩士及博士學位。他目前的研究興趣包括優化、運籌學、數據挖掘、計算智能、應用統計、決策支持系統、穩健優化、工程優化、多目標優化、群體智能、進化算法及人工神經網絡。他正在研究多目標和穩健元啟發式優化技術的應用。他還是多個國際期刊和會議的編輯/審稿人。他在國際期刊和會議論文集中發表了超過150篇文章。他在多個決策分析、大數據、優化、複雜性及物聯網領域的會議中擔任程序主席，並在一些高影響力的期刊中進行編輯合作。