Advances in Artificial Intelligence, Electronic Instruments and Information Systems: Proceedings of Aieiis 2025, Volume 2
暫譯: 人工智慧、電子儀器與資訊系統的進展:AIEIIS 2025 會議論文集,第2卷

Chen, Chien-Ming, Simic, Milan, Hu, Jia

  • 出版商: Springer
  • 出版日期: 2026-05-29
  • 售價: $11,330
  • 貴賓價: 9.5$10,763
  • 語言: 英文
  • 頁數: 326
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032237114
  • ISBN-13: 9783032237118
  • 相關分類: DeepLearning電機學 Electric-machineryMaker
  • 海外代購書籍(需單獨結帳)

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商品描述

This book is a compilation of high-quality scientific papers presented at International Conference on Artificial Intelligence, Electronic Instruments and Information Systems (AIEIIS 2025). This book addresses the integration challenge: AI is rapidly evolving, but practical deployment requires seamless interaction with physical devices, embedded systems, and secure information infrastructures. The proceedings emphasize end-to-end solutions, showing how advanced algorithms can be embedded into real-world sensing, measurement, and control platforms. Contributors highlight how AI methods adapt under hardware constraints, achieve energy efficiency, handle uncertainty, and meet requirements of robustness, explainability, and regulatory compliance. The volume is structured to balance theoretical advances with case studies and system prototypes. Part I covers foundations and methods for intelligent sensing, representation, and optimization. Part II presents platforms and architectures, including edge AI, distributed systems, and digital twin frameworks. Part III focuses on security, privacy, and reliability, reflecting the pressing demand for trustworthy AI in sensitive domains. Part IV illustrates application domains such as healthcare instrumentation, intelligent transportation, robotics, industrial inspection, environmental monitoring, and urban computing.

商品描述(中文翻譯)

本書是2025年國際人工智慧、電子儀器與資訊系統會議(AIEIIS 2025)上所發表的高品質科學論文的彙編。本書探討了整合挑戰:人工智慧(AI)正在迅速發展,但實際部署需要與物理設備、嵌入式系統和安全資訊基礎設施之間的無縫互動。會議記錄強調端到端解決方案,展示了先進演算法如何嵌入到現實世界的感測、測量和控制平台中。貢獻者強調了AI方法如何在硬體限制下進行調整,實現能源效率,處理不確定性,並滿足穩健性、可解釋性和法規遵從的要求。本卷的結構旨在平衡理論進展與案例研究和系統原型。第一部分涵蓋智能感測、表示和優化的基礎和方法。第二部分介紹平台和架構,包括邊緣AI、分散式系統和數位雙胞胎框架。第三部分專注於安全性、隱私和可靠性,反映了在敏感領域對可信AI的迫切需求。第四部分說明了應用領域,如醫療儀器、智能交通、機器人技術、工業檢查、環境監測和城市計算。

作者簡介

Dr. Chien-Ming Chen is a professor in the School of Artificial Intelligence at Nanjing University of Information Science and Technology, China. He received his Ph.D. in Computer Science from National Tsing Hua University, Taiwan, in 2010, and previously held academic appointments at Harbin Institute of Technology (Shenzhen), China. His research interests include security and privacy, IoT systems, federated learning, and blockchain-based secure computing. He has published more than 150 SCI-indexed journal papers, including over 50 papers in IEEE and ACM journals, with several ESI Highly Cited Papers. His work has accumulated nearly 10,000 citations with an H-index of 56, and he holds 20 patents in China and the United States. Dr. Chen is a senior member of IEEE and a recipient of Shenzhen's Overseas High-Level Talent Program. He serves as an executive editor of the International Journal of Information and Computer Security and as Associate Editor for several international journals.


Dr. Milan Simic holds a Ph.D., master's, and bachelor's degrees in Electronics Engineering, as well as a Graduate Diploma in Education. He is currently affiliated with the School of Engineering at RMIT University, Australia, and serves as a professor at MB University in Belgrade, Serbia, and an adjunct professor at the Kalinga Institute of Industrial Technology (KIIT), India. He was general editor and now is an honorary editor of the KES Journal. Dr. Simic has extensive international experience across industry and academia, including appointments at Honeywell Information Systems, CISCO Networking Academy and research institute. His multidisciplinary research spans biomedical engineering, such as gait monitoring using Deep Learning and brain computer interfaces, electrical and autonomous vehicles, intelligent transportation systems, physical systems modelling, management and engineering education.

Dr. Jia Hu is an associate professor in the Department of Computer Science at the University of Exeter, U.K. He received his Ph.D. in Computing Science from the University of Bradford in 2010 and previously held academic positions at Liverpool Hope University and the University of Exeter. His research focuses on distributed computing, communication networks, edge and cloud intelligence, federated learning, and AI-driven networking systems. He has published more than 200 research papers, including articles in leading journals such as IEEE Transactions on Computers, IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, and IEEE Journal on Selected Areas in Communications. His work has received multiple ESI Highly Cited Papers and numerous awards, including the IEEE Outstanding Paper Award and several IEEE Best Paper Awards.

Dr. Por Lip Yee is a full professor in the Faculty of Computer Science and Information Technology at Universiti Malaya, Malaysia. He is a senior member of IEEE and an internationally recognized researcher in security, cryptography, machine learning, computer vision, IoT authentication, steganography, watermarking, and blockchain technologies. He has authored more than 120 SCI/SCIE/SSCI-indexed journal papers and has secured over RM 7 million in competitive research funding as Principal Investigator. His research achievements have been recognized through numerous national and international awards, including multiple gold, silver, and bronze medals in innovation exhibitions. Prof. Por also has extensive editorial experience, serving as an associate editor for Frontiers in Public Health, Frontiers in Computer Science, and the Malaysian Journal of Computer Science, and as an editorial board member for CMC-Computers, Materials & Continua and TCRT (SAGE).

作者簡介(中文翻譯)

陳建銘博士是中國南京信息工程大學人工智慧學院的教授。他於2010年在台灣國立清華大學獲得計算機科學博士學位,並曾在中國哈爾濱工業大學(深圳)擔任學術職位。他的研究興趣包括安全與隱私、物聯網系統、聯邦學習以及基於區塊鏈的安全計算。他已發表超過150篇SCI索引的期刊論文,其中包括50篇以上的IEEE和ACM期刊論文,並有多篇ESI高被引論文。他的研究工作累積了近10,000次引用,H指數為56,並在中國和美國擁有20項專利。陳博士是IEEE的資深會員,也是深圳市海外高層次人才計畫的獲獎者。他擔任《國際資訊與計算機安全期刊》的執行編輯,並擔任多本國際期刊的副編輯。

米蘭·西米奇博士擁有電子工程的博士、碩士和學士學位,以及教育研究生文憑。他目前隸屬於澳大利亞RMIT大學工程學院,並擔任塞爾維亞貝爾格萊德MB大學的教授,以及印度卡林加工業技術學院(KIIT)的兼任教授。他曾擔任KES期刊的總編輯,現在是名譽編輯。西米奇博士在產業和學術界擁有廣泛的國際經驗,包括在霍尼韋爾資訊系統、思科網路學院和研究機構的任職。他的多學科研究涵蓋生物醫學工程,例如使用深度學習進行步態監測和腦機介面,電動和自動駕駛車輛,智能交通系統,物理系統建模,管理和工程教育。

胡佳博士是英國埃克塞特大學計算機科學系的副教授。他於2010年在布拉德福德大學獲得計算科學博士學位,並曾在利物浦霍普大學和埃克塞特大學擔任學術職位。他的研究重點是分散式計算、通信網絡、邊緣和雲智能、聯邦學習以及基於AI的網絡系統。他已發表超過200篇研究論文,包括在IEEE Transactions on Computers、IEEE Transactions on Mobile Computing、IEEE Transactions on Parallel and Distributed Systems和IEEE Journal on Selected Areas in Communications等領先期刊上的文章。他的研究工作獲得多篇ESI高被引論文和多項獎項,包括IEEE傑出論文獎和數個IEEE最佳論文獎。

葉博立博士是馬來西亞馬來亞大學計算機科學與資訊技術學院的正教授。他是IEEE的資深會員,也是國際公認的安全、密碼學、機器學習、計算機視覺、物聯網身份驗證、隱寫術、水印技術和區塊鏈技術的研究者。他已發表超過120篇SCI/SCIE/SSCI索引的期刊論文,並作為首席研究員獲得超過700萬馬幣的競爭性研究資金。他的研究成就獲得多項國內外獎項的認可,包括在創新展覽中獲得多枚金、銀、銅獎。葉教授還擁有豐富的編輯經驗,擔任《公共衛生前沿》、《計算機科學前沿》和《馬來西亞計算機科學期刊》的副編輯,以及《CMC-Computers, Materials & Continua》和TCRT(SAGE)的編輯委員會成員。