Iot and Wsn Based Smart Cities: A Machine Learning Perspective
暫譯: 基於物聯網與無線感測網路的智慧城市:機器學習觀點
Rani, Shalli, Sai, Vyasa, Maheswar, R.
- 出版商: Springer
- 出版日期: 2022-05-31
- 售價: $6,020
- 貴賓價: 9.5 折 $5,719
- 語言: 英文
- 頁數: 216
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030841812
- ISBN-13: 9783030841812
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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
商品描述(中文翻譯)
本書提供了一種調查性的方法,探討機器學習如何幫助維護和保護智慧城市,包括主要用途如智慧監控、隱私、可靠性和公共安全。作者涵蓋了智慧城市發展中實施障礙、想法和機會等重要領域和議題。作者還介紹了可以加速智慧城市概念和應用增長的新算法、架構和平台。此外,本書提供了與智慧城市基礎設施、大數據管理以及使用機器學習的預測技術相關的具體應用和案例研究的詳細資訊。
作者簡介
Dr. Shalli Rani is Associate Professor in CSE with Chitkara University (Rajpura (Punjab)), India. She has 15+ years teaching experience. She received MCA degree from Maharishi Dyanand University, Rohtak in 2004 and the M.Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur in 2007 and Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar in 2017. Her main area of interest and research are Wireless Sensor Networks, Underwater Sensor networks and Internet of Things. She has published/accepted/presented more than 35+ papers in international journals /conferences (SCI+Scopus) and two books with Springer. She is serving as the associate editor of IEEE Future Directions Letters. She has worked on Big Data, Underwater Acoustic Sensors and IoT to show the importance of WSN in IoT applications. She received a young scientist award in Feb. 2014 from Punjab Science Congress, in the same field.
Dr. Vyasa Sai is a Senior Hardware Engineer in the Visual and Machine Learning IP Group @ Intel Corporation, Folsom, CA, USA. He received his PhD from the Department of Electrical and Computer Engineering (ECE) at the University of Pittsburgh, Pittsburgh, PA, USA in 2013. He also has a Master of Science degree in ECE and a Bachelor of technology degree in ECE from USA and India respectively. Dr. Sai is a published author with numerous refereed international publications in the field of electronics and communication engineering that includes IoT, WSN, RFID, Low Power Electronics, Security, among others. Dr. Sai is also a published inventor who holds several US patents along with technical leadership roles on editorial boards, advisory board, technical committees at IEEE, Elsevier, among others. He is also an invited reviewer for many international journals and conferences. Dr. Saiʼs research contributions and accomplishments have won him many international honors that include 2018 Williams award, 2019 outstanding scientist award, 2020 Sheth International Achievement award, among others.
Dr. R. Maheswar has completed his B.E (ECE) from Madras University in the year 1999, M.E (Applied Electronics) from Bharathiyar University in the year 2002 and Ph.D in the field of Wireless Sensor Network from Anna University in the year 2012. He has about 19 years of teaching experience at various levels and presently working as Dean - Research (Assistant) and Dean In-Charge for the School of EEE, VIT Bhopal University, Bhopal. He has published around 70 papers at International Journals and International Conferences and published 4 patents. His research interest includes Wireless Sensor Network, IoT, Queueing theory and Performance Evaluation. He has served as guest editor for Wireless Networks Journal, Springer and serving as editorial review board member for peer reviewed journals, and also edited 4 books supported by EAI/Springer Innovations in Communications and Computing book series. He is presently an associate editor in Wireless Networks Journal, Springer and Alexandria Engineering Journal, Elsevier.
作者簡介(中文翻譯)
Dr. Shalli Rani 是印度 Chitkara University(位於 Punjab 的 Rajpura)的計算機科學與工程系副教授。她擁有超過 15 年的教學經驗。她於 2004 年在 Maharishi Dyanand University 獲得 MCA 學位,並於 2007 年在 Janardan Rai Nagar Vidyapeeth University 獲得計算機科學的 M.Tech. 學位,於 2017 年在 Punjab Technical University 獲得計算機應用的 Ph.D. 學位。她的主要研究興趣包括無線感測器網路(Wireless Sensor Networks)、水下感測器網路(Underwater Sensor Networks)和物聯網(Internet of Things)。她在國際期刊和會議(SCI+Scopus)上發表、接受或展示了超過 35 篇論文,並與 Springer 合著了兩本書。她目前擔任 IEEE Future Directions Letters 的副編輯。她曾在大數據(Big Data)、水下聲學感測器和物聯網方面工作,以展示無線感測器網路在物聯網應用中的重要性。她於 2014 年 2 月獲得 Punjab Science Congress 的青年科學家獎,專注於同一領域。
Dr. Vyasa Sai 是美國加州福爾索姆的英特爾公司(Intel Corporation)視覺與機器學習 IP 團隊的高級硬體工程師。他於 2013 年在美國匹茲堡大學的電氣與計算機工程系(ECE)獲得博士學位。他還擁有美國和印度的電氣與計算機工程碩士學位和技術學士學位。Dr. Sai 是一位已發表的作者,在電子與通信工程領域擁有多篇經過審核的國際出版物,涵蓋物聯網(IoT)、無線感測器網路(WSN)、射頻識別(RFID)、低功耗電子學、安全性等主題。Dr. Sai 也是一位已發表的發明家,擁有多項美國專利,並在 IEEE、Elsevier 等的編輯委員會、顧問委員會和技術委員會中擔任技術領導角色。他還是許多國際期刊和會議的邀請審稿人。Dr. Sai 的研究貢獻和成就為他贏得了許多國際榮譽,包括 2018 年的 Williams 獎、2019 年的傑出科學家獎、2020 年的 Sheth 國際成就獎等。
Dr. R. Maheswar 於 1999 年在馬德拉斯大學完成電氣與計算機工程(ECE)學士學位,於 2002 年在 Bharathiyar University 獲得應用電子學碩士學位,並於 2012 年在安娜大學獲得無線感測器網路的博士學位。他擁有約 19 年的教學經驗,目前擔任 VIT Bhopal University(博帕爾)的電氣與電子工程學院研究院(助理)及負責院長。他在國際期刊和國際會議上發表了約 70 篇論文,並獲得 4 項專利。他的研究興趣包括無線感測器網路、物聯網、排隊理論和性能評估。他曾擔任 Springer 的 Wireless Networks Journal 的客座編輯,並擔任同行評審期刊的編輯審查委員會成員,還編輯了 4 本由 EAI/Springer Innovations in Communications and Computing 書系支持的書籍。他目前是 Springer 的 Wireless Networks Journal 和 Elsevier 的 Alexandria Engineering Journal 的副編輯。