Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies
暫譯: 社會5.0與新興計算技術的未來:實用解決方案、範例與案例研究

Mohan, Neeraj, Gupta, Surbhi, Liu, Chuan-Ming

  • 出版商: CRC
  • 出版日期: 2024-10-07
  • 售價: $2,390
  • 貴賓價: 9.5$2,271
  • 語言: 英文
  • 頁數: 298
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032026057
  • ISBN-13: 9781032026053
  • 海外代購書籍(需單獨結帳)

商品描述

It discusses the technological aspects for the implementation of Society 5.0. The recent advances of emerging technologies such as Artificial Intelligence, Data Science, Internet of Things, and Big Data for the realization of Society 5.0 are covered. Practical solutions to existing problems, examples, and case studies are also offered.

商品描述(中文翻譯)

它討論了實現社會5.0的技術方面。涵蓋了人工智慧、數據科學、物聯網和大數據等新興技術的最新進展,以實現社會5.0。還提供了針對現有問題的實用解決方案、範例和案例研究。

作者簡介

Neeraj Mohan is working as Assistant Professor in Computer Science & Engineering Department in I.K. Gujral Punjab Technical University, Kapurthala (Punjab) India. He has a rich and quantitative academic experience of 19 years at various positions. He did his Doctoral degree from I.K. Gujral Punjab Technical University, Kapurthala (Punjab) India in the year 2016. He is an active researcher with more than 50 research papers in reputed journals and conferences. His research interest areas are network traffic management and image processing. He has guided one Ph.D. Thesis and 17 M.Tech. Thesis till date.

Surbhi Gupta holds a B. Tech. degree and Ph.D. from I.K. Gujral Punjab Technical University, Punjab, India. She received a merit for her master's degree at Punjab Agricultural University, Punjab, India. She is presently working as an Assistant Professor - Computer Science and Engineering at Punjab Agricultural University, Ludhiana, India. She is involved in research on applications of image analysis using machine learning. She has authored over 40 international journal and conference papers. She has contributed as a reviewer for reputed journals like Journal of Visual Communication and Image Representation (Elsevier), Imaging Science (Taylor & Francis), and Journal of Electronic Imaging (SPIE).

Chuan-Ming Liu is a professor in the Department of Computer Science and Information Engineering (CSIE), National Taipei University of Technology (Taipei Tech), TAIWAN, where he was the Department Chair from 2013-2017. Dr. Liu received his Ph.D. in Computer Science from Purdue University in 2002 and joined the CSIE Department in Taipei Tech in the spring of 2003. In 2010 and 2011, he has held visiting appointments with Auburn University, Auburn, AL, USA, and the Beijing Institute of Technology, Beijing, China. He has services in many journals, conferences and societies as well as published more than 100 papers in many prestigious journals and international conferences. Dr. Liu was the co-recipients of ICUFN 2015 Excellent Paper Award, ICS 2016 Outstanding Paper Award, MC 2017 Best Poster Award, WOCC 2018 Best Paper Award and MC 2019 Best Poster Award. His current research interests include big data management and processing, uncertain data management, data science, spatial data processing, data streams, ad-hoc and sensor networks, location-based services.

作者簡介(中文翻譯)

Neeraj Mohan 目前擔任印度旁遮普省卡普爾薩拉的 I.K. Gujral 旁遮普技術大學計算機科學與工程系的助理教授。他擁有19年的豐富學術經驗,曾擔任多個職位。他於2016年在 I.K. Gujral 旁遮普技術大學獲得博士學位。他是一位活躍的研究者,在知名期刊和會議上發表了超過50篇研究論文。他的研究興趣領域包括網路流量管理和影像處理。至今,他已指導一篇博士論文和17篇碩士論文。

Surbhi Gupta 擁有 I.K. Gujral 旁遮普技術大學的工學學士學位和博士學位。她在印度旁遮普農業大學獲得碩士學位時獲得了優異獎。她目前在印度盧迪亞納的旁遮普農業大學擔任計算機科學與工程的助理教授。她的研究專注於使用機器學習的影像分析應用。她已發表超過40篇國際期刊和會議論文,並擔任過多個知名期刊的審稿人,如 Journal of Visual Communication and Image Representation (Elsevier)、Imaging Science (Taylor & Francis) 和 Journal of Electronic Imaging (SPIE)。

劉傳銘 是國立台北科技大學 (Taipei Tech) 計算機科學與資訊工程系的教授,並於2013年至2017年擔任系主任。劉博士於2002年在普渡大學獲得計算機科學博士學位,並於2003年春季加入台北科技大學的計算機科學與資訊工程系。2010年和2011年,他曾在美國阿伯丁大學和中國北京理工大學擔任訪問學者。他在多個期刊、會議和學會中擔任服務,並在許多知名期刊和國際會議上發表了超過100篇論文。劉博士曾獲得 ICUFN 2015 優秀論文獎、ICS 2016 傑出論文獎、MC 2017 最佳海報獎、WOCC 2018 最佳論文獎和 MC 2019 最佳海報獎。他目前的研究興趣包括大數據管理與處理、不確定數據管理、數據科學、空間數據處理、數據流、臨時網路和感測器網路、基於位置的服務。

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