Computational Intelligence for Connective Cognition Networks: Advances and Applications
暫譯: 連結認知網絡的計算智能:進展與應用
Aggarwal, Kirti, Arora, Anuja, Akhtar, Zahid
- 出版商: CRC
- 出版日期: 2025-11-25
- 售價: $4,790
- 貴賓價: 9.5 折 $4,551
- 語言: 英文
- 頁數: 214
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032942347
- ISBN-13: 9781032942346
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. It uses machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis and prediction tasks.
This book:
- Covers a wide range of topics within network paradigms, including intelligence modeling, sustainability, quantum computing, and network security.
- Utilizes various machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis, and prediction tasks.
- Addresses contemporary issues like fake news detection, social media analysis, and cybersecurity.
- Employs network analysis techniques to understand the structure and dynamics of complex systems, including social networks, communication networks, and biological networks.
- Explores the integration of quantum computing principles and algorithms to solve computational intelligence tasks efficiently, especially in quantum-based network paradigms.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer engineering, and information technology.
商品描述(中文翻譯)
這本書探討了深度學習架構,例如卷積神經網絡(convolutional neural networks)和遞迴神經網絡(recurrent neural networks),用於圖像分析、語音識別和自然語言處理等任務,並在網絡範式中進行應用。它使用機器學習算法,如神經網絡、支持向量機(support vector machines)和決策樹(decision trees)來進行數據分析和預測任務。
這本書:
- 涵蓋了網絡範式中的廣泛主題,包括智能建模、可持續性、量子計算和網絡安全。
- 利用各種機器學習算法,如神經網絡、支持向量機和決策樹進行數據分析和預測任務。
- 解決當前問題,如假新聞檢測、社交媒體分析和網絡安全。
- 採用網絡分析技術來理解複雜系統的結構和動態,包括社交網絡、通信網絡和生物網絡。
- 探索量子計算原則和算法的整合,以有效解決計算智能任務,特別是在基於量子的網絡範式中。
本書主要為電機工程、電子與通信工程、計算機工程和資訊科技等領域的高年級本科生、研究生和學術研究人員撰寫。
作者簡介
Kirti Aggarwal is working as a Senior Assistant Professor in the Department of Computer Science & Engineering, Jaypee Institute of Information Technology, Noida, India. She received her Ph.D. degree in Computer Science & Engineering from Jaypee Institute of Technology, Noida in September 2023. She has more than 10 years of academic experience. Her research interests include Social Networking, Nature Inspired Computing, Optimization Algorithms, DBMS, Discrete Mathematics, Computer Networks, Compiler Design, and Java Programming. She has published papers in International Journal and Conferences.
Anuja Arora is working as a Professor in the Computer Science & Engineering Department of Jaypee Institute of Information Technology, Noida, India. She has academic and research experience of 19 years and industry experience of 1.5 years. She received her Ph.D. degree in Computer Science from Apaji Institute of Mathematics & Applied Computer Technology, Banasthali University, Banasthali, India in December 2013. She is a Senior IEEE Member, ACM Member, SIAM Member, INSTICC, and Life Member of IAENG. She has published more than 100 research papers in peer-reviewed International journals, Book chapters, and Conferences. Three students have been awarded Ph.D. under her supervision and three are in process. Her Research Interest includes Deep Learning, Artificial Neural Network, Social Network Analysis and Mining, Sustainable Computing, Data Science, Machine Learning, Data Mining, Web Intelligence, Web Application development and Web Technologies, Software Engineering, Software Testing, and Information Retrieval Systems. Dr. Arora participated in many international conferences as an organizer, session chair, and member of national advisory and International Program Committees. She is an editorial board member of numerous IGI, Inderscience, and Bentham international journals. She is the reviewer of many reputed and peer-reviewed IEEE transactions - TKDE, TNSM, IEEE Transaction of Cybernetics, etc. She is also the reviewer of various international Journals.
Zahid Akhtar received his Ph.D. in electronic and computer engineering from the University of Cagliari, Italy. He is currently an Assistant Professor at the Department of Network and Computer Security, State University of New York (SUNY) Polytechnic Institute, USA. Prior to that, he was a Research Assistant Professor with the University of Memphis, USA, and a postdoctoral fellow with the INRSEMT, University of Quebec, Canada, the University of Udine, Italy, Bahcesehir University, Turkey, and the University of Cagliari. His research interests include computer vision and machine learning with applications to cybersecurity, biometrics, affect recognition, image and video processing, and audiovisual multimedia quality assessment.
Alessandro Bruno earned a Ph.D. degree in computer engineering from DINFO, Palermo University. He is now a Tenure-Track Assistant Professor with the Department of Business, Law, Economics, and Consumer Behaviour at IULM University, in Milan, Italy. Before joining IULM University, Alessandro was an Assistant Professor at Humanities University (Milano, Italy), he worked as a Lecturer in computing with the Department of Computing and Informatics, Bournemouth University in 2021 and 2022. He covered postdoc positions at NCCA (National Centre for Computer Animation) in the UK, INAF IASF (Italian National Institute for Astrophysics), University of Palermo, and IZS (Istituto Zooprofilattico Sperimentale della Sicilia). He was a Research Visitor at Mullard Space Science Laboratory (MSSL), University College London (UCL) in the imaging group led by Professor Jan-Peter Muller. He is the author of more than 50 International articles and serves as Associate Editor for International journals. Alessandro is currently the Principal Investigator of a project funded by the NGI-Search consortium named HeReFaNMi (Health-Related Fake News Mitigation). His research interests include computer vision, artificial intelligence, and image analysis. He has mostly dealt with visual attention and visual saliency, biomedical imaging, crowd behavior analysis, image and video forensics, remote sensing, and human-computer interaction.
作者簡介(中文翻譯)
Kirti Aggarwal 現任印度諾伊達 Jaypee 信息技術學院計算機科學與工程系的高級助理教授。她於 2023 年 9 月獲得諾伊達 Jaypee 技術學院的計算機科學與工程博士學位。她擁有超過 10 年的學術經驗。她的研究興趣包括社交網絡、自然啟發計算、優化算法、資料庫管理系統(DBMS)、離散數學、計算機網絡、編譯器設計和 Java 程式設計。她在國際期刊和會議上發表了多篇論文。
Anuja Arora 現任印度諾伊達 Jaypee 信息技術學院計算機科學與工程系的教授。她擁有 19 年的學術和研究經驗,以及 1.5 年的產業經驗。她於 2013 年 12 月在印度巴納斯塔利大學的 Apaji 數學與應用計算技術學院獲得計算機科學博士學位。她是資深 IEEE 會員、ACM 會員、SIAM 會員、INSTICC 會員及 IAENG 終身會員。她在同行評審的國際期刊、書籍章節和會議上發表了超過 100 篇研究論文。三名學生在她的指導下獲得博士學位,三名正在進行中。她的研究興趣包括深度學習、人工神經網絡、社交網絡分析與挖掘、可持續計算、數據科學、機器學習、數據挖掘、網絡智能、網絡應用開發和網絡技術、軟體工程、軟體測試及信息檢索系統。Arora 博士參加了許多國際會議,擔任組織者、會議主席及國家諮詢和國際程序委員會成員。她是多本 IGI、Inderscience 和 Bentham 國際期刊的編輯委員會成員,也是多個知名和同行評審的 IEEE 交易期刊(如 TKDE、TNSM、IEEE Cybernetics 交易等)的審稿人。她還是多個國際期刊的審稿人。
Zahid Akhtar 獲得意大利卡利亞里大學電子與計算機工程博士學位。他目前是美國紐約州立大學(SUNY)理工學院網絡與計算機安全系的助理教授。在此之前,他曾擔任美國孟菲斯大學的研究助理教授,以及加拿大魁北克大學 INRSEMT、意大利烏迪內大學、土耳其巴哈切希爾大學和卡利亞里大學的博士後研究員。他的研究興趣包括計算機視覺和機器學習,應用於網絡安全、生物識別、情感識別、圖像和視頻處理以及視聽多媒體質量評估。
Alessandro Bruno 獲得巴勒莫大學 DINFO 計算機工程博士學位。他目前是意大利米蘭 IULM 大學商業、法律、經濟和消費者行為系的終身教職助理教授。在加入 IULM 大學之前,Alessandro 曾擔任米蘭人文大學的助理教授,並於 2021 年和 2022 年在伯恩茅斯大學計算與信息學系擔任講師。他曾在英國 NCCA(國家計算機動畫中心)、意大利國立天文物理研究所(INAF IASF)、巴勒莫大學和西西里州實驗動物衛生研究所(IZS)擔任博士後職位。他曾在倫敦大學學院的 Mullard 太空科學實驗室(MSSL)擔任研究訪客,參與由 Jan-Peter Muller 教授領導的成像小組。他是超過 50 篇國際文章的作者,並擔任國際期刊的副編輯。Alessandro 目前是由 NGI-Search 聯盟資助的名為 HeReFaNMi(健康相關假新聞緩解)項目的首席研究員。他的研究興趣包括計算機視覺、人工智慧和圖像分析。他主要研究視覺注意力和視覺顯著性、生物醫學成像、人群行為分析、圖像和視頻取證、遙感以及人機互動。