AI Modernisation Techniques for Contemporary Trends
暫譯: 現代化AI技術應對當前趨勢
Rathore, Pramod Singh, Kumar, Abhishek, Khan, Surbhi B.
相關主題
商品描述
The objective of this publication AI Modernisation Techniques for Contemporary Trends is to offer a comprehensive and practical framework for engineers, technicians, and individuals interested in converting conventional electromechanical systems into intelligent, interconnected, and efficient smart systems. The rising demand for smart technologies necessitates the need of upgrading current systems to effectively cater to these expectations. This book will serve as an extensive resource that aims to facilitate the integration of ancient and contemporary technologies, providing readers with guidance during the whole process of conversion.
商品描述(中文翻譯)
本出版物《AI 現代化技術與當代趨勢》的目標是為工程師、技術人員以及對將傳統電機系統轉換為智能、互聯且高效的智慧系統感興趣的個人提供一個全面且實用的框架。對智慧技術日益增長的需求使得升級現有系統以有效滿足這些期望變得必要。本書將作為一個廣泛的資源，旨在促進古老與現代技術的整合，並在整個轉換過程中為讀者提供指導。
作者簡介
Pramod Singh Rathore is working in the Department of Computer and Communication Engineering at Manipal University Jaipur, India. He earned his Ph.D. in Computer Science Engineering from the University of Engineering and Management, Jaipur, and M.Tech from Government Engineering College Ajmer, Rajasthan Technical University. With over 15 years of academic experience, he has published 95+ research papers, co-authored and edited several books, and serves as an editorial board member. He is a senior IEEE and ACM member.
Abhishek Kumar is an Assistant Director and Professor in Computer Science and Engineering at Chandigarh University, Punjab, India. He holds a Ph.D. from the University of Madras and is a Post-Doctoral Fellow at Universidad De Castilla-La Mancha, Spain. With 15+ years of teaching experience, he has authored over 160 papers and edited 45 books with publishers like Elsevier, Springer, and Wiley. He is a reviewer for IEEE and Inderscience journals and a senior academic leader.
Surbhi B. Khan holds a Ph.D. in Computer Science and Engineering, specializing in machine learning and social media analytics. Recognized among the world's top 2% researchers by Stanford University, she works in the Department of Data Science at the University of Salford, UK. She also serves at the Lebanese American University and as an adjunct professor at Shoolini University, India. With 12+ years of experience, she has 100+ publications, 12 patents, and 12 books, and leads multiple international funded research projects.
Faheem Syeed Masoodi is an Associate Professor of Cyber Security at Bahrain Polytechnic University and a Postdoctoral Researcher at Kuala Lumpur University of Science and Technology. He holds a Ph.D. in Network Security and Cryptography from Aligarh Muslim University and degrees from the University of Kashmir. He has received several prestigious fellowships, including CEMSAC (France), SP-ASCRYPTO (Brazil), MANF (India), and INTI Research Fellowship (Malaysia), recognizing his excellence in cybersecurity research and cryptography.
Fatima Asiri is an Assistant Professor at the College of Computer Science and Information Systems, King Khalid University, Saudi Arabia. She holds a Master's degree in Information Systems from the University of Michigan, USA, and a Bachelor's degree from King Khalid University. Her research interests include information security, privacy, IoT, data analytics, and human-computer interaction. Dr. Asiri is committed to advancing secure, user-friendly, and innovative digital systems through her research and academic contributions.
T. Rajasanthosh Kumar is an innovative researcher dedicated to advancing smart industrial systems. With 35 publications, 25 granted patents, and 2 textbooks, his expertise bridges mechanical and intelligent technologies. He has significantly contributed to transforming traditional industries into smart, automated systems. His work emphasizes integrating emerging technologies and optimizing industrial processes. Dr. Kumar continues to pursue groundbreaking research, leveraging creativity and engineering insight to drive industrial transformation and sustainability in global contexts.
作者簡介(中文翻譯)
Pramod Singh Rathore 目前在印度賈浦爾的馬尼帕爾大學計算機與通信工程系工作。他在賈浦爾的工程與管理大學獲得計算機科學工程博士學位，並在拉賈斯坦技術大學的政府工程學院獲得碩士學位。擁有超過15年的學術經驗，他已發表95篇以上的研究論文，並共同編著和編輯了多本書籍，還擔任編輯委員會成員。他是IEEE和ACM的資深會員。
Abhishek Kumar 是印度旁遮普的昌迪加爾大學計算機科學與工程系的助理主任和教授。他擁有馬德拉斯大學的博士學位，並在西班牙卡斯蒂利亞-拉曼查大學擔任博士後研究員。擁有超過15年的教學經驗，他已撰寫超過160篇論文，並與Elsevier、Springer和Wiley等出版社編輯了45本書籍。他是IEEE和Inderscience期刊的審稿人，並擔任資深學術領導。
Surbhi B. Khan 擁有計算機科學與工程的博士學位，專注於機器學習和社交媒體分析。她被史丹佛大學認定為全球前2%的研究人員，現任英國索爾福德大學數據科學系工作。她還在黎巴嫩美國大學任職，並擔任印度Shoolini大學的兼任教授。擁有超過12年的經驗，她擁有100篇以上的出版物、12項專利和12本書籍，並領導多個國際資助的研究項目。
Faheem Syeed Masoodi 是巴林理工大學的網絡安全副教授，並在吉隆坡科技大學擔任博士後研究員。他擁有阿里格爾穆斯林大學的網絡安全與密碼學博士學位，以及喀什米爾大學的學位。他獲得了多個著名的獎學金，包括CEMSAC（法國）、SP-ASCRYPTO（巴西）、MANF（印度）和INTI研究獎學金（馬來西亞），以表彰他在網絡安全研究和密碼學方面的卓越成就。
Fatima Asiri 是沙烏地阿拉伯哈立德國王大學計算機科學與信息系統學院的助理教授。她擁有美國密西根大學的信息系統碩士學位，以及哈立德國王大學的學士學位。她的研究興趣包括信息安全、隱私、物聯網、數據分析和人機交互。Asiri博士致力於通過她的研究和學術貢獻推進安全、用戶友好和創新的數字系統。
T. Rajasanthosh Kumar 是一位創新研究者，致力於推進智能工業系統。他擁有35篇出版物、25項授予的專利和2本教科書，他的專業知識橋接了機械技術和智能技術。他對將傳統行業轉型為智能自動化系統做出了重要貢獻。他的工作強調整合新興技術和優化工業流程。Kumar博士繼續追求開創性的研究，利用創造力和工程洞察力推動全球範疇內的工業轉型和可持續性。
