Machine Learning for Smart Environments/Cities: An Iot Approach
暫譯: 智慧環境/城市的機器學習：物聯網方法

Marques, Gonçalo, González-Briones, Alfonso, Molina López, José Manuel

Machine Learning for Smart Environments/Cities: An Iot Approach
  • 出版商: Springer
  • 出版日期: 2023-04-07
  • 售價: $7,030
  • 貴賓價: 9.5 折 $6,679
  • 語言: 英文
  • 頁數: 243
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030975185
  • ISBN-13: 9783030975180
  • 相關分類: Machine Learning、物聯網 IoT

    • 海外代購書籍(需單獨結帳)

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商品描述

This book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.


商品描述(中文翻譯)

本書介紹了機器學習及其在智慧環境/城市中的應用。在這個階段，全面了解智慧環境/城市應用對於支持未來的研究至關重要。本書包含來自全球不同國家的研究者撰寫的章節，並識別出研究中的關鍵主題以及開啟未來新挑戰研究方向的空白。書中討論了最近的進展，並提供了詳細的回顧，讓讀者了解關鍵領域。本書中提出的關鍵研究主題的討論，加速了基於物聯網（IoT）技術的智慧城市和智慧環境的實施。因此，本書支持未來旨在為智慧環境/城市開發物聯網架構的研究活動。

作者簡介

Gonçalo Marques holds a Ph.D. in Computer Science Engineering and is Member of the Portuguese Engineering Association (Ordemdos Engenheiros). He is currently working as Assistant Professor lecturing courses on programming, multimedia, and database systems. Furthermore, he worked as Software Engineer in the Innovation and Development Unit of Groupe PSA automotive industry from 2016 to 2017 and in the IBM group from 2018 to 2019. His current research interests include Internet of things, enhanced living environments, machine learning, e-health, telemedicine, medical and healthcare systems, indoor air quality monitoring and assessment, and wireless sensor networks. He has more than 80 publications in international journals and conferences, is Frequent Reviewer of journals and international conferences, and is also involved in several edited books projects.

Alfonso González Briones holds a Ph.D. in Computer Engineering from the University of Salamanca since 2018, his thesis obtained the second place in the 1st SENSORS+CIRTI Award for the best national thesis in smart cities (CAEPIA 2018). At the same university, he obtained his Bachelor of Technical Engineer in Computer Engineering (2012), Degree in Computer Engineering (2013), and Masters in Intelligent Systems (2014). Alfonso was Project Manager of Industry 4.0 and IoT projects in the AIR Institute, Lecturer at the International University of La Rioja (UNIR), and also "Juan De La Cierva" Postdoc at University Complutense of Madrid. Currently, he is Assistant Professor at the University of Salamanca in the Department of Computer Science and Automatics. He has published more than 30 articles in journals, more than 60 articles in books and international congresses and has participated in 10 international research projects. He is also Member of the scientific committee of the Advances in Distributed Computing and Artificial Intelligence Journal (ADCAIJ) and British Journal of Applied Science & Technology (BJAST) and Reviewer of international journals (Supercomputing Journal, Journal of King Saud University, Energies, Sensors, Electronics or Applied Sciences, among others). He has participated as Chair and Member of the technical committee of prestigious international congresses (AIPES, HAIS, FODERTICS, PAAMS, KDIR).

José M. Molina is Full Professor at the Universidad Carlos III de Madrid. He joined the Computer Science Department of the Universidad Carlos III de Madrid in 1993. Currently, he coordinates the Applied Artificial Intelligence Group (GIAA). His current research focuses on the application of soft computing techniques (NN, Evolutionary Computation, Fuzzy Logic and Multiagent Systems) to radar data processing, air traffic management, e-commerce, and ambient intelligence. He has authored up to 100 journal papers and 200 conference papers. He received a degree in Telecommunications Engineering in 1993 and a Ph.D. degree in 1997 both from the Universidad Politécnica de Madrid.

作者簡介(中文翻譯)

Gonçalo Marques 擁有計算機科學工程的博士學位，並且是葡萄牙工程協會（Ordem dos Engenheiros）的成員。他目前擔任助理教授，教授程式設計、多媒體和資料庫系統的課程。此外，他曾於2016年至2017年在Groupe PSA汽車產業的創新與發展單位擔任軟體工程師，並於2018年至2019年在IBM集團工作。他目前的研究興趣包括物聯網、增強生活環境、機器學習、電子健康、遠程醫療、醫療和健康系統、室內空氣質量監測與評估，以及無線感測器網路。他在國際期刊和會議上發表了超過80篇論文，並且是多個期刊和國際會議的常任審稿人，還參與了幾個編輯書籍的項目。

Alfonso González Briones 自2018年起擁有薩拉曼卡大學的計算機工程博士學位，他的論文在第一屆SENSORS+CIRTI獎中獲得智慧城市最佳國家論文的第二名（CAEPIA 2018）。在同一所大學，他獲得了計算機工程技術工程學士（2012年）、計算機工程學位（2013年）和智能系統碩士（2014年）。Alfonso曾擔任AIR Institute的工業4.0和物聯網項目的專案經理，並在拉里奧哈國際大學（UNIR）擔任講師，還曾在馬德里康普頓斯大學擔任“Juan De La Cierva”博士後研究員。目前，他是薩拉曼卡大學計算機科學與自動化系的助理教授。他在期刊上發表了超過30篇文章，在書籍和國際會議上發表了超過60篇文章，並參與了10個國際研究項目。他還是《分散計算與人工智慧進展期刊》（ADCAIJ）和《英國應用科學與技術期刊》（BJAST）的科學委員會成員，並擔任多個國際期刊的審稿人（如Supercomputing Journal、Journal of King Saud University、Energies、Sensors、Electronics或Applied Sciences等）。他曾作為主席和成員參加多個知名國際會議的技術委員會（AIPES、HAIS、FODERTICS、PAAMS、KDIR）。

José M. Molina 是馬德里卡洛斯三世大學的全職教授。他於1993年加入該校的計算機科學系。目前，他負責應用人工智慧小組（GIAA）。他目前的研究重點是將軟計算技術（神經網路、演化計算、模糊邏輯和多代理系統）應用於雷達數據處理、空中交通管理、電子商務和環境智能。他已發表多達100篇期刊論文和200篇會議論文。他於1993年獲得電信工程學位，並於1997年獲得博士學位，均來自馬德里理工大學。

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