Proceedings of 17th International Conference on Machine Learning and Computing: Icmlc2025, Volume 1
暫譯: 第17屆國際機器學習與計算會議論文集：Icmlc2025，第1卷

Huang, Lin, Greenhalgh, David

Proceedings of 17th International Conference on Machine Learning and Computing: Icmlc2025, Volume 1

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商品描述

This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, 2025. The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models and Data Processing, Large-scale Language Models and Natural Language Processing, Data-oriented Information System Optimization and Intelligent Computing, AI-based Intelligent Control Systems and System Security, etc. The book will become a valuable resource for academics, industry professionals, and engineers working in the related fields of machine learning and computing.

商品描述(中文翻譯)

本書包含於2025年2月14日至17日在中國廣州舉行的第17屆國際機器學習與計算會議上發表的原創及同行評審研究論文。會議的重點是建立一個有效的平台，讓機構和產業分享想法，並展示來自世界各地的科學家、工程師、教育工作者和學生的研究成果。本卷討論的主題包括機器學習理論與演算法、高效能計算模型與數據處理、大規模語言模型與自然語言處理、數據導向的信息系統優化與智能計算、基於人工智慧的智能控制系統與系統安全等。本書將成為學術界、業界專業人士及從事機器學習與計算相關領域工程師的重要資源。

作者簡介

Dr. Lin Huang is a professor in the Department of Engineering and Engineering Technology (EAET) at Metropolitan State University of Denver, where she has been a faculty member since 2010. Dr. Huang received her Ph.D. in Electrical Engineering from Florida Atlantic University in USA. Her research interests include Biometrics, Pattern Recognition, Signal Processing, Computer Vision, Machine Learning, Embedded System Design and VLSI. Dr. Huang was recognized in the post "20 Professors in Engineering Technology to Know" on the website of OnlineEngineeringPrograms.com, an online resource for prospective students interested in the Engineering Field. The list is comprised of some of the outstanding professors and Universities in the field. Dr. Huang is a member of the International Association of Computer Science and Information Technology (IACSIT). In addition, Dr. Huang was a guest editor for EDP Sciences in 2016. In 2017, she joined the editorial board of International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE) and joined the team as an honorary member of Editorial Board of the journal, International Journal of Darshan Institute on Engineering Research and Emerging Technologies. She has been the editor-in-chief for International Journal of Machine Learning (IJML) since 2012. And she has been reviewing papers on regular basis for some conferences and journals since 2008.

Professor David Greenhalgh gained a PhD from the University of Cambridge in 1984 and worked at Imperial College, London from 1984 to 1986. He also has a first-class Honours degree in Mathematics and a distinction in Part III Mathematics. He is currently a member of the Population Modelling and Epidemiology Research Group at Strathclyde and has been a member of staff at Strathclyde in the Departments of Mathematics, Statistics and Modelling Science and Mathematics and Statistics since 1986. He is currently (since 2017) a full professor in the Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK, Postgraduate Director (Mathematics and Statistics) at Strathclyde and also Associate Editor of Journal of Biological Systems. He has published over 110 publications in international refereed journals, supervised over 20 MPhil and PhD research students and been on the editorial board of eighteen international journals. In 2015 he was awarded a two-year (2015-2017) Leverhulme Trust Research Fellowship grant (50K RF-2015-88) as PI to study mathematical modelling of vaccination against dengue. He has also been involved in collaboration with Malaysia to mathematically model a mosquito trap to control dengue and won a 187K grant from the Newton Fund to do this in 2016. His main research interests are in mathematical and statistical epidemiology, but he has also done some work in genetic algorithms and signal and image processing.

作者簡介(中文翻譯)

林黃博士是丹佛市立大學工程與工程技術系（EAET）的教授，自2010年以來一直擔任該校教職。林博士在美國佛羅里達大西洋大學獲得電機工程博士學位。她的研究興趣包括生物識別技術、模式識別、信號處理、計算機視覺、機器學習、嵌入式系統設計和VLSI。林博士在OnlineEngineeringPrograms.com網站上被認可為「20位值得認識的工程技術教授」之一，該網站是為有意進入工程領域的潛在學生提供的在線資源。這份名單包含了該領域一些傑出的教授和大學。林博士是國際計算機科學與資訊技術協會（IACSIT）的成員。此外，林博士在2016年擔任EDP Sciences的客座編輯。2017年，她加入了《國際電子與通信工程研究期刊》（IJERECE）的編輯委員會，並作為《國際達爾尚工程研究與新興技術期刊》的榮譽編輯委員會成員。自2012年以來，她一直擔任《國際機器學習期刊》（IJML）的主編。自2008年以來，她定期為一些會議和期刊審稿。

大衛·格林哈爾教授於1984年在劍橋大學獲得博士學位，並於1984年至1986年在倫敦帝國學院工作。他擁有數學一級榮譽學位及數學第三部分的優異成績。目前，他是斯特拉斯克萊德大學人口建模與流行病學研究小組的成員，自1986年以來一直在該校的數學、統計學和建模科學及數學與統計學系任職。自2017年以來，他在英國格拉斯哥的斯特拉斯克萊德大學數學與統計學系擔任全職教授，並擔任數學與統計學的研究生主任，同時也是《生物系統期刊》的副編輯。他在國際同行評審期刊上發表了超過110篇論文，指導了超過20名碩士和博士研究生，並擔任過十八本國際期刊的編輯委員會成員。2015年，他獲得了為期兩年的Leverhulme Trust研究獎學金（2015-2017），作為首席研究員研究針對登革熱的疫苗數學建模。他還參與了與馬來西亞的合作，數學建模蚊子捕捉器以控制登革熱，並於2016年獲得了來自牛頓基金的187K資助。其主要研究興趣在於數學和統計流行病學，但他也在遺傳算法及信號和圖像處理方面進行了一些研究。

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