Computational Intelligence in Machine Learning: Proceedings of the 2nd International Conference ICCIML 2022 (機器學習中的計算智慧:第二屆國際會議 ICCIML 2022 論文集)

Gunjan, Vinit Kumar, Kumar, Amit, Zurada, Jacek M.

  • 出版商: Springer
  • 出版日期: 2024-02-21
  • 售價: $13,220
  • 貴賓價: 9.5$12,559
  • 語言: 英文
  • 頁數: 707
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819979536
  • ISBN-13: 9789819979530
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

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商品描述

This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.

商品描述(中文翻譯)

本卷包含2022年國際機器學習計算智慧會議(ICCIML 2022)的選定會議論文。內容涵蓋機器學習、智慧城市、物聯網、人工智慧、網絡物理系統、控制論、數據科學、神經網絡、認知等領域的最新研究趨勢和發展。它還探討了計算智慧、人工智慧、機器學習和深度學習的綜合性,強調其在未來智慧系統的建模、識別、優化、預測、預報和控制中的特性。本卷將為學術界和產業界的研究人員提供有用的指導,通過從方法論/應用的角度呈現深入的基礎研究貢獻,以理解人工智慧和機器學習方法及其在解決各種行業問題及其實際應用中的能力。

作者簡介

Vinit Kumar Gunjan is an Associate Professor in the Department of Computer Science & Engineering at CMR Institute of Technology India (affiliated with Jawaharlal Nehru Technological University, Hyderabad). Dr. Gunjan is an active researcher and published research papers with high-quality conferences authored several books and edited volumes. He was awarded the prestigious Early Career Research Award in 2016 by the Science Engineering Research Board, Department of Science & Technology, Government of India. He has been involved in several technical and non-technical workshops, seminars, and conferences. During his tenure, worked with top leaders of IEEE and was awarded the best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.


Amit Kumar is a DNA forensics professional, entrepreneur, engineer, bioinformatician, and an IEEE volunteer. In 2005, he founded the first private DNA testing Company Bio Axis DNAResearch Centre (P.) Ltd in Hyderabad, India, with a US collaborator. He has vast experience in training 1000+ crime investigating officers and helped 750+ criminal and non-criminal cases to reach justice by offering analytical services in his laboratory. His group also works extensively on genetic predisposition risk studies of cancers and has been helping many cancer patients since 2012 to fight and win the battle against cancer. He was a member of the IEEE Strategy Development and Environmental Assessment Committee (SDEA) of IEEE MGA. He has driven several conferences, conference leadership programs, entrepreneurship development workshops, innovation, and internship-related events. Currently, he is Managing Director of BioAxis DNA Research Centre (P) Ltd and IEEE MGA Nominations and Appointments committee member.


Jacek M. Zurada is a Professor of Electrical and Computer Engineering and Director of the Computational Intelligence Laboratory at the University of Louisville, USA, where he served as Department Chair and Distinguished University Scholar. He received his M.S. and Ph.D. degrees (with distinction) in electrical engineering from the Technical University of Gdansk, Poland. He has published over 420 journal and conference papers in neural networks, deep learning, computational intelligence, data mining, image processing, and VLSI circuits. He has authored or co-authored three books. In addition to his pioneering neural networks textbook, his most recognized achievements include an extension of complex-valued neurons to associative memories and perception networks; sensitivity concepts applied to multilayer neural networks; application of networks to clustering, biomedical image classification, and drug dosing; blind sources separation; and rule extraction as a tool for prediction of protein secondary structure.


S. N. Singh obtained his M. Tech. and Ph.D. in Electrical Engineeringfrom the Indian Institute of Technology (IIT) Kanpur, in 1989 and 1995, respectively. Presently, Prof. Singh is Director, Atal Bihari Bajpayee- Indian Institute of Information Technology and Management Gwalior (MP), India (on leave from Professor (HAG), Department of Electrical Engineering, Indian Institute of Technology Kanpur, India). His research interests include power system restructuring, FACTS, power system optimization & control, security analysis, wind power, etc. Prof Singh has published more than 500 papers in international/national journals/conferences and supervised 40 Ph.D. (8 Ph.D. under progress). He has also written 30 book chapters, 8 edited books, and 2 textbooks. Prof. Singh has completed three dozen technical projects in India and abroad.

作者簡介(中文翻譯)

Vinit Kumar Gunjan 是印度 CMR Institute of Technology 的計算機科學與工程系副教授(隸屬於海得拉巴的 Jawaharlal Nehru Technological University)。Gunjan 博士是一位活躍的研究者,發表了多篇高品質會議論文,並著作了數本書籍及編輯卷。他於 2016 年獲得印度科學與技術部科學工程研究委員會頒發的著名早期職業研究獎。他參與了多個技術和非技術的工作坊、研討會和會議。在任內,他與 IEEE 的頂尖領導者合作,並於 2017 年獲得 IEEE 海得拉巴分會頒發的最佳 IEEE 年輕專業人士獎。

Amit Kumar 是一位 DNA 法醫專業人士、企業家、工程師、生物信息學家及 IEEE 志工。2005 年,他與美國合作者在印度海得拉巴創立了第一家私人 DNA 測試公司 Bio Axis DNA Research Centre (P.) Ltd。他擁有豐富的經驗,培訓了超過 1000 名犯罪調查官,並通過提供實驗室的分析服務,幫助超過 750 起刑事和非刑事案件獲得公正。他的團隊也在癌症的遺傳易感性風險研究方面進行廣泛的工作,自 2012 年以來幫助許多癌症患者抗擊並戰勝癌症。他曾是 IEEE MGA 的策略發展與環境評估委員會(SDEA)成員,並主導了多個會議、會議領導計畫、企業發展工作坊、創新及實習相關活動。目前,他是 BioAxis DNA Research Centre (P) Ltd 的董事總經理及 IEEE MGA 提名與任命委員會成員。

Jacek M. Zurada 是美國路易斯維爾大學電氣與計算機工程教授及計算智能實驗室主任,曾擔任系主任及傑出大學學者。他在波蘭的格但斯克科技大學獲得電氣工程碩士及博士學位(優異)。他在神經網絡、深度學習、計算智能、數據挖掘、影像處理及 VLSI 電路等領域發表了超過 420 篇期刊及會議論文,並著作或合著了三本書籍。除了他開創性的神經網絡教科書外,他最受認可的成就包括將複數值神經元擴展至聯想記憶和感知網絡;應用於多層神經網絡的敏感度概念;將網絡應用於聚類、生物醫學影像分類及藥物劑量;盲源分離;以及作為預測蛋白質二級結構的工具的規則提取。

S. N. Singh 於 1989 年和 1995 年分別在印度理工學院(IIT)坎普爾獲得電氣工程碩士及博士學位。目前,Singh 教授是印度阿塔爾·比哈里·巴賈佩伊信息技術與管理學院(Gwalior, MP)的主任(暫時離開印度理工學院坎普爾電氣工程系的教授職位)。他的研究興趣包括電力系統重組、FACTS、電力系統優化與控制、安全分析、風能等。Singh 教授在國際/國內期刊/會議上發表了超過 500 篇論文,並指導了 40 名博士生(8 名博士生正在進行中)。他還撰寫了 30 篇書章、8 本編輯書籍及 2 本教科書。Singh 教授已在印度及國外完成了三十多個技術項目。