Decision Support Systems for Industrial and Scientific Applications
暫譯: 工業與科學應用的決策支援系統

本書探討了旨在協助決策的智能系統的最新進展，揭示了先進計算機如何促進明智的判斷。作者展示了這些智能系統如何利用尖端技術，如人工智慧（artificial intelligence）、機器學習（machine learning）和深度學習（deep learning），來理解和解釋數據。本書說明了這些系統在各行各業（包括商業、金融和醫療保健）中成功應用的案例，以改善決策支持。基本上，本書專注於技術在改善決策過程中不斷演變的角色。本書提供了一系列由該領域專家撰寫的文章，呈現了對於決策支持的智能系統的多樣化觀點和方法。讀者可以從各種應用、方法論和成功案例中獲得見解，從而對該主題有全面的理解。

Dr. Nishu Gupta is a Senior Member, IEEE and presently working as a Research Scientist as the VTT Technical Research Centre of Finland Ltd, located in Oulu, Finland. Before this position, he was a Postdoctoral Fellow in the Smart Wireless Systems Group, Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, at Norwegian University of Science and Technology (NTNU) in Gjøvik, Norway. He has worked as Research Associate in the Smart Living Lab, a joint project of The Swiss Federal Institute of Technology Lausanne (EPFL), School of Engineering and Architecture of Fribourg (HEIA-FR), and University of Fribourg (UniFR) in the Digitalization and Information Systems Research Group, Department of Informatics, University of Fribourg, Switzerland. Prior to this position, he was a Postdoctoral Fellow in the Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University in Rabigh, Saudi Arabia. He is also a visiting researcher at the University of Oviedo, Gijón, Spain under the research group on Systems for Multimedia and the Internet of Things (SMIOT). He served as a Member, Zero Trust Architecture working group of MeitY-C-DAC-STQC project under 'e-Governance Standards and Guidelines', Ministry of Electronics and Information Technology (MeitY), Government of India. He is the winner of the International Travel grant awarded by the journal Electronics, MDPI for the year 2022. Nishu received his Ph.D. degree in 2016 from the Department of Electronics and Communication Engineering, MNNIT Allahabad, Prayagraj, India which is an Institute of National Importance as declared by the Government of India. He is specialized in the field of Computer Communication and Networking. His major work is in the area of IoT based enhanced safety applications in vehicular communication. He received his Master's degree (M.Tech.) from Delhi Technological University, Delhi, India (formerly Delhi College of Engineering) and Bachelor's degree (B.Tech.) from BBDNITM Lucknow, affiliated to U.P. Technical University, Lucknow, India. His research interests include Vehicular Communication, Driving Behaviour Analysis, Autonomous Vehicles, Intelligent Transportation, Smart Cities, Security in Sensor Networks and Internet of Things and Internet of Vehicles.

José David Díaz Román obtained his title as an electronic engineer from the Polytechnic Institute of the National Armed Forces in Maracay, Venezuela, in 1997. He furthered his academic pursuits and earned a Doctorate in Engineering from the Simón Bolívar University in Caracas, Venezuela. From 1998 to 2016, José was an integral part of the Electromedicine-Biomedical Engineering Program at the Francisco de Miranda National Experimental University in Coro, Venezuela. Since 2016, he has served as a full-time professor in the Biomedical Engineering Program. Additionally, he is actively involved in the academic cores of the Master's programs in Electrical Engineering and the Doctorate in Advanced Engineering Sciences at the Department of Electrical and Computer Engineering of the Autonomous University of Ciudad Juárez, Chihuahua, Mexico. José Díaz Román holds a membership in the National System of Researchers in Mexico and has a recognized publication record. He has contributed to prestigious journals and books, presenting papers and book chapters. His research interests encompass digital signal and image processing, the modeling of artificial intelligence systems (Machine Learning and Deep Learning) for classification, segmentation, and prediction tasks, as well as electronic and biomedical instrumentation, and wireless sensor networks.

Dr. Nishu Gupta 是 IEEE 的資深會員，目前在芬蘭奧盧的 VTT 技術研究中心擔任研究科學家。在此之前，他曾在挪威科技大學 (NTNU) 的電子系智能無線系統組擔任博士後研究員。他曾在瑞士聯邦理工學院洛桑 (EPFL)、弗里堡工程與建築學院 (HEIA-FR) 和弗里堡大學 (UniFR) 的數位化與資訊系統研究小組擔任研究助理。此職位之前，他在沙烏地阿拉伯拉比赫的阿卜杜勒阿齊茲國王大學資訊科技系擔任博士後研究員。他也是西班牙希洪的奧維多大學多媒體與物聯網系統研究小組的訪問研究員。他曾擔任印度電子與資訊科技部 (MeitY) 的 MeitY-C-DAC-STQC 項目下「電子治理標準與指導方針」的零信任架構工作組成員。他是 2022 年由 MDPI 期刊《電子學》頒發的國際旅行獎的得主。Nishu 於 2016 年在印度普拉亞格拉傑的 MNNIT 阿拉哈巴德電子與通信工程系獲得博士學位，該校被印度政府認定為國家重要機構。他專注於計算機通信與網絡領域，主要研究基於物聯網的增強安全應用於車輛通信。他在印度德里技術大學獲得碩士學位 (M.Tech.)，並在印度盧克瑙的 BBDNITM 獲得學士學位 (B.Tech.)，該校隸屬於印度盧克瑙技術大學。他的研究興趣包括車輛通信、駕駛行為分析、自動駕駛車輛、智慧交通、智慧城市、感測器網絡安全、物聯網及車輛互聯網。

José David Díaz Román 於 1997 年在委內瑞拉馬拉開波的國軍理工學院獲得電子工程學位。他進一步深造，獲得委內瑞拉加拉加斯的西蒙玻利瓦爾大學工程博士學位。從 1998 年到 2016 年，José 是委內瑞拉科羅的 Francisco de Miranda 國立實驗大學電磁醫學-生物醫學工程計畫的重要成員。自 2016 年以來，他在生物醫學工程計畫擔任全職教授。此外，他還積極參與墨西哥 Ciudad Juárez 自治大學電氣與計算機工程系的電氣工程碩士課程和高級工程科學博士課程的學術核心。José Díaz Román 是墨西哥國家研究人員系統的成員，並擁有公認的出版紀錄。他在知名期刊和書籍上發表過論文和書章。其研究興趣包括數位信號與影像處理、人工智慧系統的建模（機器學習和深度學習）以進行分類、分割和預測任務，以及電子與生物醫學儀器和無線感測器網絡。