Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design

Dhanaraj, Rajesh Kumar, Kamila, Nilayam Kumar, Pani, Subhendu Kumar

  • 出版商: Apple Academic Press
  • 出版日期: 2024-01-09
  • 售價: $6,680
  • 貴賓價: 9.5$6,346
  • 語言: 英文
  • 頁數: 318
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1774913526
  • ISBN-13: 9781774913529
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

商品描述

Presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. It examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking.

商品描述(中文翻譯)

本書概述了全球解決交通挑戰的最新人工智慧策略,重點關注交通管理、交通安全、公共交通、城市移動性和污染減緩。它探討了物聯網、雲計算、機器學習和神經網絡等現代人工智慧技術。

作者簡介

Rajesh Kumar Dhanaraj, PhD, is a Professor at Symbiosis International (Deemed University), Pune, India. Prior to this assignment, he was Professor at the School of Computing Sciences & Engineering, Galgotias University, Greater Noida, India. He received the BE degree in Computer Science and Engineering from Anna University Chennai, India, in 2007, his MTech from Anna University Coimbatore, India in 2010, and his PhD degree in Computer Science from Anna University, Chennai, India, in 2017. He has contributed 45+ authored and edited books on various technologies, 21 patents, and 100+ articles and papers in various refereed journals and international conferences and contributed chapters to the books. He has collaborated with eminent professors across the world from top QS ranked universities. His research interests include machine learning, cyber-physical systems and wireless sensor networks. He has delivered many research talks on applied AI and cyber-physical systems at various institutes. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), member of the Computer Science Teacher Association (CSTA), and International Association of Engineers (IAENG). He is serving as an associate editor and guest editor for reputed journals Computers and Electrical Engineering (Elsevier), Human-centric Computing and Information Sciences, International Journal of Pervasive Computing and Communications (Emerald Insight), Mobile Information Systems (Hindawi), and others. He is an Expert Advisory Panel Member of Texas Instruments Inc., USA.

Nilayam Kumar Kamila, PhD

, is an experienced technical architect and lead, currently working as a Manager in Platform and Data Architecture Engineering Stream under Retail and Direct Technology in Capital One, USA. He received prestigious professional certifications in machine learning, neural networks, and deep learning from Stanford University, USA.

Subhendu Kumar Pani, PhD

, is Professor in the Department of Computer Science and Engineering and Research Coordinator at Krupajal Engineering College, India. He has over 15 years of teaching and research experience, for which he has received awards. He has more than 150 publications, including journal papers, authored and edited books, and book chapters to his credit. He has also acted as associate editor, editorial board member, and reviewer of international journals.

Balamurugan Balusamy, PhD

, is Associate Dean of Student Engagement at Shiv Nadar Institute of Eminence, Delhi, India. He has over 200 papers published in journals from Springer, Elsevier, and IEEE. He has edited and authored more than 50 books and has collaborated with eminent professors across the world at top QS-ranked universities.

Vani Rajasekar, PhD

, is Assistant Professor in the Department of Computer Science and Engineering at Kongu Engineering College, India. She has authored around 25 research papers and book chapters published in international journals and conferences. Her areas of interest include cryptography, biometrics, network security, and wireless networks.

作者簡介(中文翻譯)

Rajesh Kumar Dhanaraj博士是印度浦那的Symbiosis International(被認定為大學)的教授。在此之前,他是印度Greater Noida的Galgotias大學計算機科學與工程學院的教授。他於2007年從印度安娜大學獲得計算機科學和工程學士學位,2010年從印度安娜大學科英布托爾分校獲得碩士學位,並於2017年從印度安娜大學獲得計算機科學博士學位。他在各種技術領域上撰寫和編輯了45多本書籍,擁有21項專利,並在各種被引用期刊和國際會議上發表了100多篇文章和論文,並為書籍撰寫了章節。他與來自頂尖QS排名大學的傑出教授合作。他的研究興趣包括機器學習、物聯網系統和無線感測網絡。他在各個學院就應用人工智能和物聯網系統進行了許多研究講座。他是電機和電子工程師學會(IEEE)的高級會員,計算機科學教師協會(CSTA)和國際工程師協會(IAENG)的成員。他擔任知名期刊《計算機與電氣工程》(Elsevier)、《以人為本的計算和信息科學》、《普遍計算和通信國際期刊》(Emerald Insight)、《移動信息系統》(Hindawi)等的副編輯和客座編輯。他是美國德州儀器公司的專家諮詢小組成員。

Nilayam Kumar Kamila博士是一位經驗豐富的技術架構師和領導者,目前在美國Capital One的零售和直接技術部門的平台和數據架構工程流程中擔任經理。他在美國斯坦福大學獲得了機器學習、神經網絡和深度學習的重要專業證書。

Subhendu Kumar Pani博士是印度Krupajal工程學院計算機科學與工程系的教授和研究協調員。他擁有超過15年的教學和研究經驗,並獲得了多項獎項。他發表了150多篇論文,包括期刊論文、撰寫和編輯的書籍以及書籍章節。他還擔任國際期刊的副編輯、編輯委員會成員和審稿人。

Balamurugan Balusamy博士是印度德里的Shiv Nadar Institute of Eminence的學生參與副院長。他在Springer、Elsevier和IEEE的期刊上發表了200多篇論文。他編輯和撰寫了50多本書籍,並與世界頂尖QS排名大學的傑出教授合作。

Vani Rajasekar博士是印度Kongu工程學院計算機科學與工程系的助理教授。她在國際期刊和會議上發表了約25篇研究論文和書籍章節。她的研究領域包括密碼學、生物特徵識別、網絡安全和無線網絡。