Recent Advances in Deep Learning Applications: New Techniques and Practical Examples
暫譯: 深度學習應用的最新進展：新技術與實務範例
Onyekpe, Uche, Palade, Vasile, Wani, M. Arif
- 出版商: CRC
- 出版日期: 2025-11-19
- 售價: $6,260
- 貴賓價: 9.5 折 $5,947
- 語言: 英文
- 頁數: 356
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032944625
- ISBN-13: 9781032944623
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相關分類:
DeepLearning
海外代購書籍(需單獨結帳)
商品描述
This book presents a collection of extended papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023) and focuses on deep learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and models in real-world applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers.
Key Features:
- Presents state-of-the-art research on deep learning
- Covers modern real-world applications of deep learning
- Provides value to students, academic researchers, professionals, software engineers in the industry, and innovative product developers.
商品描述(中文翻譯)
本書呈現了一系列從第22屆IEEE國際機器學習與應用會議（IEEE ICMLA 2023）中選出的擴展論文，重點在於深度學習架構及其在健康照護、安全與威脅檢測、教育、故障診斷以及工業環境中的機器人控制等領域的應用。本書涵蓋了使用卷積神經網絡（convolutional neural networks）、變壓器（transformers）、自編碼器（autoencoders）、基於圖的神經網絡（graph-based neural networks）以及大型語言模型（large language models）在上述應用中的新穎方法。讀者將能夠獲得見解，幫助他們在現實世界的應用和情境中實現深度學習架構和模型的新穎使用方式，使本書成為學術研究者、專業人士、業界軟體工程師及創新產品開發者的重要參考指南。
主要特點：
- 提供深度學習的最先進研究
- 涵蓋深度學習的現代實際應用
- 為學生、學術研究者、專業人士、業界軟體工程師及創新產品開發者提供價值。
作者簡介
Dr. Uche Onyekpe is a Machine Learning Expert at Ofcom (Office of Communications, UK), where he focuses on developing assessment/audit strategies for AI algorithms used by online platforms such as Instagram, TikTok, and X. He also serves as the Director of the African Institute for Artificial Intelligence, a nonprofit organization dedicated to advancing AI across the African continent.
Dr. Onyekpe previously held academic positions at York St John University and Coventry University on Machine Learning. His professional experience spans various sectors, including health, construction, and transport, where he has led projects at the intersection of artificial intelligence and these fields. He has published numerous research papers in these areas and has several years of experience working as a consultant within the robotics and social care. He has delivered keynote talks at reputable seminars and events on machine learning and applications.
Vasile Palade is a Professor of Artificial Intelligence and Data Science in the Centre for Computational Science and Mathematical Modelling at Coventry University, UK. He previously held several academic and research positions at the University of Oxford - UK, University of Hull - UK, and the University of Galati - Romania. His research interests are in machine learning, with a focus on neural networks and deep learning, and with main application to computer vision, natural language processing, autonomous driving, smart cities, health, among others. Prof. Palade is author and co-author of more than 300 papers in journals and conference proceedings as well as several books on machine learning and applications. He is an Associate Editor for several reputed journals, such as IEEE Transactions on Neural Networks and Learning Systems, and Neural Networks. He has delivered keynote talks to reputed international conferences on machine learning and applications.
Prof. M. Arif Wani completed his M.Tech. in Computer Technology at the Indian Institute of Technology, Delhi, and his PhD in Computer Vision at Cardiff University, UK. He is a Professor at the University of Kashmir, having previously served as a Professor at California State University Bakersfield.
His research interests are in the area of machine learning, with a focus on neural networks, deep learning, computer vision, pattern recognition, and classification tasks. He has published many papers in reputed journals and conferences in these areas. Dr. Wani has co-authored the book 'Advances in Deep Learning' and co-edited many books on Machine Learning and Deep Learning applications.
作者簡介(中文翻譯)
烏切·奧尼耶克博士是英國通訊管理局（Ofcom）的機器學習專家，專注於為Instagram、TikTok和X等在線平台開發AI算法的評估/審核策略。他同時擔任非營利組織非洲人工智慧研究所的主任，該組織致力於推動整個非洲大陸的AI發展。
奧尼耶克博士曾在約克聖約翰大學和考文垂大學擔任機器學習的學術職位。他的專業經驗涵蓋健康、建築和交通等多個領域，並在人工智慧與這些領域的交集處主導項目。他在這些領域發表了多篇研究論文，並在機器人技術和社會照護方面擁有數年的顧問經驗。他在機器學習及其應用的知名研討會和活動中發表過主題演講。
瓦西利·帕拉德教授是英國考文垂大學計算科學與數學建模中心的人工智慧與數據科學教授。他曾在英國牛津大學、哈爾大學和羅馬尼亞的加拉茨大學擔任多個學術和研究職位。他的研究興趣集中在機器學習，特別是神經網絡和深度學習，主要應用於計算機視覺、自然語言處理、自動駕駛、智慧城市、健康等領域。帕拉德教授是300多篇期刊和會議論文的作者和合著者，並出版了多本有關機器學習及其應用的書籍。他是多本知名期刊的副編輯，如《IEEE神經網絡與學習系統期刊》和《神經網絡》。他在國際知名會議上就機器學習及其應用發表過主題演講。
M. 阿里夫·瓦尼教授在印度理工學院德里分校獲得計算機技術碩士學位，並在英國卡迪夫大學獲得計算機視覺博士學位。他是克什米爾大學的教授，曾在加州州立大學貝克斯菲爾德分校擔任教授。
他的研究興趣集中在機器學習領域，特別是神經網絡、深度學習、計算機視覺、模式識別和分類任務。他在這些領域的知名期刊和會議上發表了許多論文。瓦尼博士共同撰寫了《深度學習的進展》一書，並共同編輯了多本有關機器學習和深度學習應用的書籍。
