Smart Manufacturing with AIoT: Signal Processing, Computer Vision, and Data Analytics
暫譯: 智慧製造與AIoT:信號處理、計算機視覺與數據分析

Patel, Keyurkumar, Oza, Ankit D., Sharma, Ankit

  • 出版商: CRC
  • 出版日期: 2025-12-17
  • 售價: $4,470
  • 貴賓價: 9.5$4,247
  • 語言: 英文
  • 頁數: 158
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032827890
  • ISBN-13: 9781032827896
  • 相關分類: Computer Vision物聯網 IoT
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

As industries move towards intelligent, adaptive, and efficient manufacturing processes, the integration of AI, IoT, signal processing, and computer vision is crucial. This book serves as a comprehensive guide for professionals, researchers, and academics looking to harness the power of cutting-edge technologies in the field of smart manufacturing.

Smart Manufacturing with AIoT: Signal Processing, Computer Vision, and Data Analytics is a comprehensive guide that focuses on practical implementation, bridging the gap between theoretical concepts and real-world applications. Each chapter of the book explores a different aspect of the synergy between AI, IoT, signal processing, and computer vision, starting with foundational concepts and progressing towards advanced applications. From enhancing quality control processes to proactive maintenance strategies and dynamic threat assessment, this book covers a wide range of topics that define the contemporary landscape of smart manufacturing.

This book explores the intricate details of AIoT, signal processing, and computer vision, providing valuable insights for both beginners and experienced professionals in the field. Readers will gain actionable knowledge that empowers them to implement transformative solutions within their smart manufacturing environments.

商品描述(中文翻譯)

隨著各行各業朝向智能、自適應和高效的製造過程邁進,人工智慧(AI)、物聯網(IoT)、信號處理和計算機視覺的整合變得至關重要。本書作為一本全面的指南,旨在幫助專業人士、研究人員和學術界人士利用尖端技術的力量,推動智能製造領域的發展。

《智能製造與AIoT:信號處理、計算機視覺與數據分析》是一本專注於實際應用的綜合指南,旨在彌合理論概念與現實應用之間的鴻溝。本書的每一章節探討了AI、IoT、信號處理和計算機視覺之間協同作用的不同方面,從基礎概念開始,逐步深入到高級應用。從提升質量控制流程到主動維護策略和動態威脅評估,本書涵蓋了定義當代智能製造環境的廣泛主題。

本書深入探討AIoT、信號處理和計算機視覺的複雜細節,為初學者和經驗豐富的專業人士提供寶貴的見解。讀者將獲得可行的知識,使他們能夠在智能製造環境中實施變革性解決方案。

作者簡介

Dr. Keyurkumar Patel, who earned his Ph.D. in Robotics and AI Engineering from IITRAM (2020), currently serves as an assistant professor at Rashtriya Raksha University's School of IT, Artificial Intelligence, and Cyber Security, an institute of national importance under India's Ministry of Home Affairs. With previous experience at Karnavati University, the Institute of Advanced Research, and a public sector unit under the Ministry of Heavy Industries, he has published in prestigious journals, including IEEE Transactions on Industrial Informatics. His research spans IoT security, robotics, AI, deep learning, quantum machine learning, computer vision, and medical imaging, and he recently developed a Centre of Excellence Lab for Emerging Technologies with SAP India's support.

Dr. Ankit D. Oza is currently working as a research professor at Parul University, Vadodara, Gujarat. He received his Ph.D. in Industrial Engineering from Pandit Deendayal Petroleum University (PDPU), Gandhinagar, India. His major research areas include non-traditional and hybrid micro-machining processes and their applications. Additionally, he is working on AI- and IoT-based manufacturing processes. He has published more than 70 articles and over 30 conference papers. He holds more than 45 national and international patents and has also delivered expert talks at various prestigious universities and colleges. He is also a reviewer for a number of prestigious journals.

Dr. Ankit Sharma holds the position of head of the Publications Division of the Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab, India. He received his Ph.D. in Mechanical Engineering from the Thapar Institute of Engineering and Technology, India. He has more than 10 years of experience in academics, research, consulting, training, and industry. He has authored numerous national and international publications in SCI, Scopus, and Web of Science-indexed journals and has filed/published over 30 international patents. He is also the book series editor of Innovations in Smart Manufacturing for Long-Term Development and Growth for CRC Press, Taylor & Francis Group. He has delivered several invited seminars and keynote talks on international platforms (USA, China, India) and has been awarded best research paper awards.

Dr. Archana Mantri holds a Ph.D. in Electronics and Communication Engineering with 30 years of experience across research, academics, and administration. Her expertise spans project management, problem-based learning, curriculum development, and pedagogical innovation, with interests in education technology, cognitive sciences, and augmented reality. A prolific scholar with numerous publications in reputable journals, she has received prestigious awards, including "Excellence in Education Leadership," and holds several patents in educational technology. Dr. Mantri has led international research projects and guided Ph.D. and M.E. scholars. He serves as an advisor to IUCEE, a senior member of IEEE, and a member of the Global Engineering Deans Council, continuing to drive innovation in education through her research leadership.

Dr. Hreetabh Kishore received his Ph.D. degree in Mechanical Engineering from Indian Institute of Technology Ropar, Rupnagar, Punjab, India. Presently, he is working in the Department of Manufacturing and Engineering Technology, Tennessee Tech University, Cookeville, Tennessee, USA. Dr. Kishore is an enthusiastic teacher who embraces student-focused approaches in his teaching, providing real-time learning to his students. He has attended two international conferences funded by DST, India Travel Grant. He is working on AI and IoT-based manufacturing processes and other related areas. He has published several publications in the peer-reviewed journals, and few are in under review, more than 21 international conference papers has been presented and published worldwide. He has also contributed to intellectual properties as filling the Patent in the advanced engineering domain.

作者簡介(中文翻譯)

Dr. Keyurkumar Patel 於 2020 年在 IITRAM 獲得機器人與人工智慧工程的博士學位,目前擔任 Rashtriya Raksha University 資訊科技、人工智慧與網路安全學院的助理教授,該學院是印度內政部下屬的國家重要機構。他曾在 Karnavati University、先進研究所及重工業部下的公共部門單位工作,並在包括《IEEE Transactions on Industrial Informatics》在內的知名期刊上發表過論文。他的研究範圍涵蓋物聯網安全、機器人技術、人工智慧、深度學習、量子機器學習、計算機視覺及醫學影像,並最近在 SAP India 的支持下開發了一個新興技術卓越中心實驗室。

Dr. Ankit D. Oza 目前在印度古吉拉特邦瓦多達拉的 Parul University 擔任研究教授。他在印度甘地納格的 Pandit Deendayal Petroleum University (PDPU) 獲得工業工程博士學位。他的主要研究領域包括非傳統及混合微加工過程及其應用。此外,他還在研究基於人工智慧和物聯網的製造過程。他已發表超過 70 篇文章和 30 篇會議論文,擁有超過 45 項國內外專利,並在多所知名大學和學院進行過專家演講。他也是多本知名期刊的審稿人。

Dr. Ankit Sharma 擔任印度旁遮普州 Chitkara University 研究與創新網絡 (CURIN) 的出版部門負責人。他在印度 Thapar Institute of Engineering and Technology 獲得機械工程博士學位,擁有超過 10 年的學術、研究、諮詢、培訓及產業經驗。他在 SCI、Scopus 和 Web of Science 索引的期刊上發表了大量國內外出版物,並已申請/發表超過 30 項國際專利。他還是 CRC Press、Taylor & Francis Group 的《Innovations in Smart Manufacturing for Long-Term Development and Growth》系列書籍的編輯。他在國際平台(美國、中國、印度)上發表過多場受邀研討會和主題演講,並獲得最佳研究論文獎。

Dr. Archana Mantri 擁有電子與通信工程的博士學位,並在研究、學術及行政領域擁有 30 年的經驗。她的專業涵蓋項目管理、基於問題的學習、課程開發及教學創新,並對教育科技、認知科學及擴增實境有興趣。作為一位多產的學者,她在知名期刊上發表了大量論文,並獲得了包括「教育領導卓越獎」在內的多項榮譽,並擁有多項教育科技專利。Dr. Mantri 曾主導國際研究項目並指導博士及碩士研究生。她擔任 IUCEE 顧問、IEEE 高級會員及全球工程院院長理事會成員,持續透過她的研究領導推動教育創新。

Dr. Hreetabh Kishore 在印度旁遮普州 Ropar 的印度理工學院獲得機械工程博士學位。目前,他在美國田納西州庫克維爾的田納西科技大學製造與工程技術系工作。Dr. Kishore 是一位熱情的教師,採用以學生為中心的教學方法,為學生提供即時學習。他參加了兩個由印度 DST 提供資助的國際會議。他正在研究基於人工智慧和物聯網的製造過程及其他相關領域。他在同行評審的期刊上發表了幾篇論文,並有幾篇正在審核中,已在全球發表和展示超過 21 篇國際會議論文。他還在先進工程領域貢獻了智慧財產,申請了專利。