IoT and Machine Learning for Smart Applications
暫譯: 智慧應用的物聯網與機器學習
Selvi, G. Vennira, Kumar, T. Ganesh, Prasad, M.
- 出版商: CRC
- 出版日期: 2025-03-06
- 售價: $6,190
- 貴賓價: 9.5 折 $5,881
- 語言: 英文
- 頁數: 198
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032621087
- ISBN-13: 9781032621081
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相關分類:
Machine Learning、物聯網 IoT
海外代購書籍(需單獨結帳)
商品描述
This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.
Features:
- Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications
- Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications
- Describes how various methods are used to extract higher- level information from IoT- generated data
- Presents the latest technologies and research findings on IoT for smart applications
- Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems
It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.
商品描述(中文翻譯)
這本書提供了各種方法和結構的說明,這些方法和結構在機器學習中被用來利用物聯網(IoT)設備生成的數據。許多行業利用機器學習,特別是機器學習即服務(MLaaS),以充分發揮物聯網的潛力。在將機器學習應用於智慧物聯網應用時,更容易觀察、系統性分析和處理大量數據,以便在各個領域中使用。
特點:
- 解釋了目前在機器學習和物聯網知識發現中用於智慧應用的各種方法和算法
- 涵蓋了針對智慧應用中物聯網生成數據所帶來的挑戰的機器學習方法
- 描述了如何使用各種方法從物聯網生成的數據中提取更高層次的信息
- 提供了有關物聯網在智慧應用中的最新技術和研究成果
- 專注於機器學習算法在各種現實世界智慧應用和工程問題中的使用
這是一本為對物聯網和機器學習領域感興趣的信息技術研究人員和從業者提供的即時參考資料。
作者簡介
G. Vennira Selvi is Professor at the School of Computer Science and Engineering and Information Science at Presidency University, Bengaluru, India. She received her Doctorate Degree in Computer Science and Engineering from Pondicherry University, Pondicherry in 2018 and M.E. degree in Computer Science and Engineering from Manonmaniam Sundaranar University, Tirunelveli. She has published 20 papers in reputed international journals, 6 papers as part of international conferences, and 12 papers as part of national conferences. She has published two books and nine book chapters. She has received eight Indian patents, one Design grant patent, and one international patent. She has 22 years of teaching experience in undergraduate and postgraduate courses. Her current research areas are IoT, wireless sensor networks, machine learning, and artificial intelligence.
T.Ganesh Kumar works as Associate Professor in the School of Computing Science and Engineering at Galgotias University, NCR, Delhi. He received an M.E. degree in Computer Science and Engineering from Manonmaniam Sundaranar University, Tamil Nadu, India. He completed his full- time Ph.D. degree in Computer Science and Engineering at Manonmaniam Sundaranar University. He was Co- Investigator for two Government of India- sponsored funded projects. He has publications in many reputed international Science Citation Index and Scopus indexed journals and conference proceedings. He has published more than ten Indian patents.
M. Prasad received his B.Tech, M.Tech, and doctorate degrees in Information Technology, Information Security, and Mobile Communication from Pondicherry University, Pondicherry, in 2008, 2010, and 2017, respectively. He is currently working in VIT Chennai campus School of Computing Science and Engineering. His current areas of research include IoT, security in mobile communication, cyber physical systems, machine learning, and artificial intelligence. He is having various professional memberships like IEEE, ACM, CSI, and Internet Society of India. He has published in more than 20 journals and holds 10 patents to his name.
Raju Hajare is Professor at the BMS Institute of Technology and Management. He is a doctorate in the field of "Nano Devices Modeling and Simulation". He has 19 years of academic and 2 years of industry experience at various levels of organizations. Dr. Raju has published more than 30 quality research publications in reputed Scopusindexed international journals and IEEE proceedings. Professor Raju has two textbooks to his credit in the domain of electronics.
Priti Rishi is Associate Professor at the College of Engineering and Technology, SRM Institute of Engineering and Technology, Vadapalani Campus, Chennai. She received an M.E. degree in Electronics and Communication Engineering from Thapar Institute of Engineering and Technology, Punjab, India. She completed her part-time Ph.D. degree at the Faculty of Information and Communication Engineering at Anna University Chennai. She has multiple publications to her credit and holds more than three Indian patents.
作者簡介(中文翻譯)
**G. Vennira Selvi** 是印度班加羅爾總統大學計算機科學與工程及資訊科學學院的教授。她於2018年在龐迪榭里大學獲得計算機科學與工程的博士學位,並在馬諾曼尼亞姆·蘇達拉納爾大學獲得計算機科學與工程的碩士學位。她在知名國際期刊上發表了20篇論文,參加國際會議發表了6篇論文,並在國內會議上發表了12篇論文。她出版了兩本書和九個書章。她擁有八項印度專利、一項設計專利和一項國際專利。她在本科和研究生課程中擁有22年的教學經驗。她目前的研究領域包括物聯網(IoT)、無線感測器網路、機器學習和人工智慧。
**T. Ganesh Kumar** 是德里NCR的Galgotias大學計算科學與工程學院的副教授。他在印度泰米爾納德邦的馬諾曼尼亞姆·蘇達拉納爾大學獲得計算機科學與工程的碩士學位。他在馬諾曼尼亞姆·蘇達拉納爾大學完成了全日制的計算機科學與工程博士學位。他曾擔任兩個印度政府資助項目的共同研究員。他在許多知名的國際科學引文索引和Scopus索引的期刊及會議論文集中發表過文章,並擁有十多項印度專利。
**M. Prasad** 在2008年、2010年和2017年分別獲得龐迪榭里大學資訊科技、資訊安全和行動通信的學士、碩士和博士學位。他目前在VIT Chennai校區的計算科學與工程學院工作。他目前的研究領域包括物聯網(IoT)、行動通信安全、網路物理系統、機器學習和人工智慧。他擁有多個專業會員資格,如IEEE、ACM、CSI和印度網路協會。他在20多個期刊上發表過文章,並擁有10項專利。
**Raju Hajare** 是BMS科技與管理學院的教授。他在「奈米設備建模與模擬」領域獲得博士學位。他擁有19年的學術經驗和2年的行業經驗,曾在各種組織中擔任不同職位。Raju博士在知名的Scopus索引國際期刊和IEEE會議論文集中發表了30多篇高品質的研究論文。Raju教授在電子學領域出版了兩本教科書。
**Priti Rishi** 是SRM工程與技術學院Vadapalani校區的副教授。她在印度旁遮普的Thapar工程與技術學院獲得電子與通信工程的碩士學位。她在安娜大學的資訊與通信工程學院完成了兼職博士學位。她擁有多篇出版物,並持有三項以上的印度專利。