Machine Learning Approaches for Convergence of Iot and Blockchain
暫譯: 物聯網與區塊鏈融合的機器學習方法

Singh, Krishna Kant, Singh, Akansha, Sharma, Sanjay K.

Machine Learning Approaches for Convergence of Iot and Blockchain
  • 出版商: Wiley
  • 出版日期: 2021-08-10
  • 售價: $7,010
  • 貴賓價: 9.5 折 $6,660
  • 語言: 英文
  • 頁數: 256
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119761743
  • ISBN-13: 9781119761747
  • 相關分類: 區塊鏈 Blockchain、Machine Learning、物聯網 IoT

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere.

This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things.

商品描述(中文翻譯)

數位革命的特徵在於技術的融合，迅速推進第四次工業革命，從而模糊了物理、數位和生物物體之間的界線。第四次革命以指數級的速度演變，無法與任何先前的技術相提並論。人工智慧（AI）和物聯網（IoT）在各個領域中進行互動和操作，例如家電、自動駕駛車輛、奈米技術、機器人、認知系統、自駕車和可穿戴設備。區塊鏈技術的潛力在許多行業中得以實現，因為安全性在各個地方都扮演著至關重要的角色。

本書深入探討機器學習中兩個最關鍵的新興領域：區塊鏈技術和物聯網。

作者簡介

Krishna Kant Singh is an Associate Professor in Electronics and Communications Engineering in KIET Group of Institutions, Ghaziabad, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of machine learning and remote sensing. He has authored more than 50 technical books and research papers in international conferences and SCIE journals.

Akansha Singh is an Associate Professor in Department of Computer Science Engineering in Amity University, Noida, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of neural network and remote sensing. She has authored more than 40 technical books and research papers in international conferences and SCIE journals. Her area of interest includes Mobile Computing, Artificial Intelligence, Machine Learning, Digital Image Processing.

Sanjay Kumar Sharma PhD is Professor and Head in Electronics and Communication Engineering department at KIET Group of Institutions. Dr. Sanjay Sharma has a total of 24 years of teaching and research experience. He has more than 45 publications in Journals and International Conferences.

作者簡介(中文翻譯)

克里希納·坎特·辛格是印度加茲亞巴德KIET集團機構電子與通信工程的副教授。辛格博士在機器學習和遙感領域獲得了BTech、MTech和PhD（印度理工學院魯爾基分院）。他已經在國際會議和SCIE期刊上發表了超過50本技術書籍和研究論文。

阿坎莎·辛格是印度諾伊達阿米提大學計算機科學工程系的副教授。辛格博士在神經網絡和遙感領域獲得了BTech、MTech和PhD（印度理工學院魯爾基分院）。她已經在國際會議和SCIE期刊上發表了超過40本技術書籍和研究論文。她的研究興趣包括移動計算、人工智慧、機器學習和數位影像處理。

桑傑·庫馬爾·沙爾馬博士是KIET集團機構電子與通信工程系的教授及系主任。桑傑·沙爾馬博士擁有24年的教學和研究經驗。他在期刊和國際會議上發表了超過45篇論文。

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