Cognition-Based Smart Computing: Foundations, Frameworks, and Applications
暫譯: 基於認知的智慧計算:基礎、框架與應用

Chaudhari, Sangita S., Vijay Chavan, Pallavi, Mahalle, Parikshit

  • 出版商: CRC
  • 出版日期: 2026-03-31
  • 售價: $6,840
  • 貴賓價: 9.8$6,703
  • 語言: 英文
  • 頁數: 278
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032795336
  • ISBN-13: 9781032795331
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

商品描述

The book provides a vision to the smart computing community on the future trends in cognition and its applicability in smart computing. It further identifies applications that demonstrate innovative ways of utilizing cognition-based smart computing for solving various real-world problems.

- Presents cognitive modeling in machine consciousness and human cognition.

- Covers artificial intelligence and its applications in machine self-learning, human-computer interaction, natural language processing, cognitive models, and architectures.

- Discusses machine learning and cognitive computing for mobile communications, and wireless networks.

- Explains the foundation, framework, and applications of cognition-based smart computing in a single volume.

- Showcases key issues and challenges in the emerging area of cognitive computation and promotes an interdisciplinary understanding of the diversity in the adaptation of cognition in smart computing.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

商品描述(中文翻譯)

本書為智慧計算社群提供了對於認知未來趨勢的願景,以及其在智慧計算中的應用。進一步識別出展示創新方式利用基於認知的智慧計算來解決各種現實世界問題的應用。

- 提出了機器意識和人類認知中的認知建模。
- 涵蓋了人工智慧及其在機器自我學習、人機互動、自然語言處理、認知模型和架構中的應用。
- 討論了用於行動通信和無線網路的機器學習和認知計算。
- 在單一卷中解釋了基於認知的智慧計算的基礎、框架和應用。
- 展示了在新興的認知計算領域中的關鍵問題和挑戰,並促進對於智慧計算中認知適應多樣性的跨學科理解。

本書主要針對電機工程、電子與通信工程、計算機科學與工程以及資訊科技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

Sangita Chaudhari is currently working as a professor and Head in the Department of Computer Science and Engineering at Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Navi Mumbai, India. She has published papers in International/National Journals/Conferences and book chapters in the domain of information security, image processing, and pattern recognition. Her research interests include image processing, information security, geographical information systems, and remote sensing.

Pallavi Vijay Chavan is presentlyworking as Professor in Department of Computer Engineering, Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai, India. She has 22 years of academic experience in data science and network
security In her academic journey, she published research work in the data science and security domain. She has published research papers in journals and conferences of national and international repute.

Parikshit Mahalle is a senior member of IEEE and a Professor, Dean of Research and Development, and Head, of the Department of Artificial Intelligence and Data Science, at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark, and continued as a postdoc researcher at CMI, Copenhagen, Denmark. He has 12 patents, published more than two hundred research papers in journals and conferences of national and international repute. His research interests are machine learning, data science, algorithms, the Internet of Things, identity management, and security.

Pranav Mothabhau Pawar is currently working as an assistant professor, in the Department of Computer Science, at Birla Institute of Technology and Science, Dubai. He developed a deep Q-learning-based asymptotically optimal solution to the spectrum collaboration problem. He published more than 40 papers in national and international journals and conferences.

作者簡介(中文翻譯)

Sangita Chaudhari 目前擔任印度孟買 Navi Mumbai 的 D. Y. Patil 被認可大學 Ramrao Adik 技術學院計算機科學與工程系的教授及系主任。她在資訊安全、影像處理和模式識別領域發表了多篇國際/國內期刊和會議的論文及書籍章節。她的研究興趣包括影像處理、資訊安全、地理資訊系統和遙感技術。

Pallavi Vijay Chavan 目前在印度孟買的 NMIMS 大學 Mukesh Patel 技術管理與工程學院擔任計算機工程系的教授。她在數據科學和網絡安全領域擁有 22 年的學術經驗。在她的學術旅程中,她在數據科學和安全領域發表了研究成果,並在國內外知名的期刊和會議上發表了研究論文。

Parikshit Mahalle 是 IEEE 的高級會員,並擔任印度浦那 Vishwakarma 資訊技術學院人工智慧與數據科學系的教授、研究與發展院長及系主任。他在丹麥奧爾堡大學獲得博士學位,並在丹麥哥本哈根的 CMI 繼續擔任博士後研究員。他擁有 12 項專利,並在國內外知名的期刊和會議上發表了超過兩百篇研究論文。他的研究興趣包括機器學習、數據科學、演算法、物聯網、身份管理和安全性。

Pranav Mothabhau Pawar 目前在迪拜的比爾拉科技與科學學院計算機科學系擔任助理教授。他開發了一種基於深度 Q 學習的漸近最優解決方案來解決頻譜協作問題。他在國內外的期刊和會議上發表了超過 40 篇論文。

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