Artificial Intelligence and Digital Twin-Based Big Data Analytics for Blockchain-IoT Enabled Applications
暫譯: 人工智慧與數位雙胞胎基礎的區塊鏈物聯網應用大數據分析

Tyagi, Amit Kumar, Kumari, Shabnam

Artificial Intelligence and Digital Twin-Based Big Data Analytics for Blockchain-IoT Enabled Applications
  • 出版商: CRC
  • 出版日期: 2026-09-01
  • 售價: $4,810
  • 貴賓價: 9.5 折 $4,569
  • 語言: 英文
  • 頁數: 428
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041091486
  • ISBN-13: 9781041091486
  • 相關分類: 區塊鏈 Blockchain、Machine Learning、大數據 Big-data

    • 尚未上市，無法訂購

商品描述

In today's era, the integration of cutting-edge technologies like Artificial Intelligence (AI), Digital Twin technology, and Big Data Analytics, is transforming Blockchain-enabled IoT ecosystems. Today AI enhances predictive intelligence and decision-making, while Digital Twins create real-time virtual replicas of physical systems for monitoring and simulation. Big Data analytics processes massive IoT-generated data streams to extract actionable insights whereas Blockchain technology ensures data integrity, transparency, and secure decentralized communication among devices. Together, these technologies enable smart, autonomous, and trustworthy systems across domains such as healthcare, smart cities, and industrial automation. This convergence improves efficiency, resilience, and scalability in next-generation IoT applications for modern society.

商品描述(中文翻譯)

在當今時代，尖端技術如人工智慧 (AI)、數位雙胞胎技術和大數據分析的整合，正在改變基於區塊鏈的物聯網 (IoT) 生態系統。今天，AI 增強了預測智能和決策能力，而數位雙胞胎則為物理系統創建實時虛擬複製品，以進行監控和模擬。大數據分析處理大量由物聯網生成的數據流，以提取可行的見解，而區塊鏈技術則確保數據的完整性、透明度以及設備之間安全的去中心化通信。這些技術共同促成了在醫療保健、智慧城市和工業自動化等領域中，智能、自主和可信賴的系統。這種融合提高了現代社會下一代物聯網應用的效率、韌性和可擴展性。

作者簡介

Amit Kumar Tyagi is an Assistant Professor, at the National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. He has previously worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (July 2009-July 2010, and October 2012- October 2013), Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (September 2018-May 2019), VIT Chennai (June 2019-November 2022) and NIFT New Delhi (November 2022-September 2025). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a senior member of IEEE.

Shabnam Kumari is a Ph.D. scholar in the Department of Computer Science, Faculty of Science and Humanities, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. She has more than 3 years of experience including teaching, research and other areas. She has completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed more than five national and international patents in the area of IoTs, Machine Learning, Deep Learning and Wireless Network. She has published over twenty research articles in International Conferences and Journals. Her areas of interest include Machine Learning, Deep Learning, and related fields. She is a lifetime member of ACM-Women and SCRS.

作者簡介(中文翻譯)

Amit Kumar Tyagi 是印度古吉拉特邦甘地納格爾國立法醫科學大學的助理教授。他於2018年在印度普德查里中央大學獲得全日制博士學位（Ph.D.）。他曾在多所學院擔任助理教授，包括喬治亞州的克里希納工程學院（Lord Krishna College of Engineering, LKCE）（2009年7月-2010年7月，以及2012年10月-2013年10月）、法里達巴德的林蓋亞大學（Lingaya's Vidyapeeth，前稱林蓋亞大學）（2018年9月-2019年5月）、維特大學（VIT Chennai）（2019年6月-2022年11月）以及新德里的國立時裝技術學院（NIFT New Delhi）（2022年11月-2025年9月）。他目前的研究重點包括下一代基於機器的通信、區塊鏈技術、智能和安全計算以及隱私。他是IEEE的資深會員。

Shabnam Kumari 是印度泰米爾納德邦金奈SRM科學與技術學院計算機科學系的博士生。她擁有超過3年的經驗，包括教學、研究和其他領域。她在法里達巴德的YMCA科學與技術大學完成了碩士學位（MCA）。她在物聯網（IoTs）、機器學習、深度學習和無線網絡領域申請了五項以上的國內和國際專利。她在國際會議和期刊上發表了超過二十篇研究文章。她的研究興趣包括機器學習、深度學習及相關領域。她是ACM-Women和SCRS的終身會員。

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