Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation
暫譯: 雲端與人工智慧在大數據分析中的融合：基礎與創新
Rawat, Danda B., Awasthi, Lalit K., Balas, Valentina Emilia
- 出版商: Wiley-Scrivener
- 出版日期: 2023-03-14
- 售價: $7,260
- 貴賓價: 9.5 折 $6,897
- 語言: 英文
- 頁數: 448
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119904889
- ISBN-13: 9781119904885
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相關分類:
Machine Learning、大數據 Big-data、Amazon Web Services
無法訂購
商品描述
This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services.
The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework.
Audience
Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.
商品描述(中文翻譯)
**雲端與人工智慧的融合以進行大數據分析**
**本書涵蓋了雲端運算、人工智慧和大數據的基礎與應用，並分析它們的融合以改善開發和服務。**
本書的17章巧妙而全面地涵蓋了人工智慧、雲端運算和大數據之間交織的概念，這些概念最近已成為下一代的範式。這些技術的應用正在迅速增長，AI雲端與物聯網（環境智慧技術）的混合也依賴於無線設備的輸入。儘管有眾多的應用和進展，但仍然存在一些需要克服的限制和挑戰，例如安全性、延遲、能耗、服務分配、醫療服務、網路壽命等。《雲端與人工智慧的融合以進行大數據分析：基礎與創新》詳細介紹了這些技術及其與最先進應用的關聯，並為對先進技術感興趣的讀者提供了全面的概述，識別挑戰、提出解決方案，以及如何增強框架。
**讀者對象**
計算領域的研究人員和研究生，以及軟體工程師、電機工程師、數據分析師和網路安全專業人士。
作者簡介
Danda B Rawat, PhD, is a Full Professor in the Department of Electrical Engineering & Computer Science (EECS), Founder and Director of the Howard University Data Science and Cybersecurity Center, Director of DoD Center of Excellence in Artificial Intelligence & Machine Learning, Director of Cyber-security and Wireless Networking Innovations Research Lab, Graduate Program Director of Howard CS Graduate Programs, and Director of Graduate Cybersecurity Certificate Program at Howard University, Washington, DC, USA. Dr. Rawat has published more than 250 scientific/technical articles and 11 books.
Lalit K Awasthi, PhD, is the Director of Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India). He received his PhD degree from the Indian Institute of Technology Roorkee in computer science and engineering. He has published more than 150 research papers in various journals and conferences of international repute and guided many PhDs in these areas.
Valentina E Ballas, PhD, is a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. Dr. Ballas is the author of more than 280 research papers in refereed journals and international conferences. She is the Editor-in-Chief of International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering.
Mohit Kumar, PhD, is an assistant professor in the Department of Information Technology at Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He received his PhD degree from the Indian Institute of Technology Roorkee in the field of cloud computing in 2018. His research topics cover the areas of cloud computing, fog computing, edge computing, Internet of Things, soft computing, and blockchain. He has published more than 25 research articles in international journals and conferences.
Jitendra Kumar Samriya, PhD, has a faculty position in the Department of Information Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. His research interest is cloud computing, artificial intelligence, and multi-objective evolutionary optimization techniques. He has published 15 research articles in international journals and has published five Indian and international patents.
作者簡介(中文翻譯)
Danda B Rawat, PhD, 是美國華盛頓特區霍華德大學電機工程與計算機科學系的全職教授，霍華德大學數據科學與網絡安全中心的創始人及主任，國防部人工智慧與機器學習卓越中心的主任，網絡安全與無線網絡創新研究實驗室的主任，霍華德大學計算機科學研究生項目的研究生項目主任，以及霍華德大學研究生網絡安全證書項目的主任。Rawat博士已發表超過250篇科學/技術文章和11本書籍。
Lalit K Awasthi, PhD, 是印度巴布·阿姆貝德卡國立技術學院賈蘭達爾的主任。他在印度理工學院魯爾基獲得計算機科學與工程的博士學位。他在各種國際知名期刊和會議上發表了超過150篇研究論文，並指導了許多博士生。
Valentina E Ballas, PhD, 是羅馬尼亞阿拉德‘Aurel Vlaicu’大學自動化與應用軟體系的全職教授。Ballas博士在經過審核的期刊和國際會議上發表了超過280篇研究論文。她是International Journal of Advanced Intelligence Paradigms和International Journal of Computational Systems Engineering的主編。
Mohit Kumar, PhD, 是印度巴布·阿姆貝德卡國立技術學院信息技術系的助理教授。他於2018年在印度理工學院魯爾基獲得雲計算領域的博士學位。他的研究主題涵蓋雲計算、霧計算、邊緣計算、物聯網、軟計算和區塊鏈。他在國際期刊和會議上發表了超過25篇研究文章。
Jitendra Kumar Samriya, PhD, 在印度巴布·阿姆貝德卡國立技術學院信息技術系擔任教職。他的研究興趣包括雲計算、人工智慧和多目標進化優化技術。他在國際期刊上發表了15篇研究文章，並已獲得五項印度及國際專利。
