Handbook of AI in Engineering Applications: Tools, Techniques, and Algorithms
暫譯: 工程應用中的人工智慧手冊：工具、技術與演算法
Kumar, Ajay, Rani, Sangeeta, Kumar, Krishna Dev
相關主題
商品描述
There is a need to categorize AI applications, tools, techniques, and algorithms based on their intended use in various design stages. Specifically, there is a need to explore AI techniques that are utilized for things such as design tasks, including but not limited to inspiration, idea and concept generation, concept evaluation, optimization, decision-making, and modeling. This includes things like generating ideas and concepts, evaluating those ideas, optimizing designs, making decisions, and creating models. This handbook brings all of these categories with compatible AI techniques, tools, and algorithms together in one place.
Handbook of AI in Engineering Applications: Tools, Techniques, and Algorithms covers applications of AI in engineering and highlights areas such as future cities, mechanical system analysis, and robotic process automation, and presents the application of AI and the use of computerized systems that aim to simplify and automate the processes of design and construction of civil works. The handbook discusses the design and optimization of mechanical systems and parts, such as engines, gears, and bearings, which can be automated using AI and it explores the performance of robotics and automation systems which can be simulated and analyzed using AI to forecast behavior, spot future issues, and suggest changes. Rounding out this handbook is AI technology automation and how analyzing relevant data can provide a reliable basis for relevant personnel to carry out their work.
This handbook fills the gap between R&D in AI and will benefit all stakeholders including industries, professionals, technologists, academics, research scholars, senior graduate students, government, and public healthcare professionals.
商品描述(中文翻譯)
有必要根據人工智慧（AI）在各種設計階段的預期用途來對其應用、工具、技術和演算法進行分類。具體而言，需要探索用於設計任務的 AI 技術，包括但不限於靈感、想法和概念生成、概念評估、優化、決策和建模等。這包括生成想法和概念、評估這些想法、優化設計、做出決策以及創建模型。本手冊將所有這些類別與相容的 AI 技術、工具和演算法集中在一個地方。
工程應用中的 AI 手冊：工具、技術和演算法 涵蓋了 AI 在工程中的應用，並突出了未來城市、機械系統分析和機器人流程自動化等領域，展示了 AI 的應用以及旨在簡化和自動化土木工程設計和建設過程的計算機系統的使用。本手冊討論了機械系統和部件的設計與優化，例如引擎、齒輪和軸承，這些都可以使用 AI 進行自動化，並探索機器人和自動化系統的性能，這些系統可以使用 AI 進行模擬和分析，以預測行為、發現未來問題並建議變更。本手冊的最後部分介紹了 AI 技術自動化，以及如何分析相關數據以為相關人員提供可靠的基礎來執行其工作。
本手冊填補了 AI 研發之間的空白，將使所有利益相關者受益，包括行業、專業人士、技術專家、學者、研究學者、高年級研究生、政府和公共衛生專業人員。
作者簡介
Ajay Kumar is Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur. He received his Ph.D. in the field of Advanced Manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. Dr. Kumar's areas of research include Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Waste Management, and Optimization Techniques. He has over 120 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. Dr. Kumar has also co-authored and co-edited many books with ELSEVIER, CRC Press, WILEY, De Gruyter and IGI Global and conference proceedings with IOP. He has organized various national and international events including an International conference on Mechatronics and Artificial Intelligence (ICMAI-2021), International conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023) as conference chair. Dr. Kumar is credited with more than 20 national and international patents, and has supervised more than 8 M.Tech, Ph.D scholars and numerous undergraduate projects/thesis. He has a total of 15 years of experience in teaching and research and is a Guest Editors and Review Editor of several reputed journals, including Frontiers in Sustainability. Dr. Kumar has contributed to many international conferences/symposiums as a session chair, expert speaker, and member of the editorial board. Throughout his career, Dr. Kumar has won several proficiency awards, including merit awards and best teacher awards. He is adviser of QCFI, Delhi Chapter student cell at JECRC University and has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. Dr. Kumar has organized a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students, and is associated with many research, academic, and professional societies in various capacities.
Sangeeta Rani is an Assistant Professor in the Department of Computer Science and Engineering, World College of Technology & Management, Gurgaon, India. She is pursuing her Ph.D. from Amity University, Manesar, Gurugram, and completed her M. Tech. from Maharshi Dayanand University, Rohtak, India. Dr. Rani's areas of research include Cloud Computing and Machine Learning. Dr. Rani has over 20 research publications in international journals of repute, refereed international conferences, and co-authored more than 5 book chapters. She has a total of 14 years of teaching experience, won the best paper awards at various international conferences, and has more than 5 national and international patents in her credit.
Krishna D. Kumar is a Professor of Aerospace Engineering and the Director of the Artificial Intelligence for Aerospace Systems (AIAS) Laboratory at Toronto Metropolitan University, Canada. He is also the Founder and President of iSAC Systems Inc., a leader in Artificial Intelligence, Internet of Things, and Automation since 2010. Dr. Kumar received his Ph.D. degree in aerospace engineering from the Indian Institute of Technology, Kanpur, India, in 1998 and his experience in academia spans more than two and half decades at various premier institutions in Canada, Japan, South Korea, and India (including Toronto Metropolitan University (formerly Ryerson University), Canada; National Aerospace Laboratory, Japan; Kyushu University, Japan; Korea Advanced Institute of Science and Technology, South Korea; Defense Research and Development Organization, India; and Birla Institute of Science and Technology, Pilani, India). Dr. Kumar has made significant contributions with major impact in the areas of autonomous systems, fault diagnosis and prognosis, big data, predictive analytics, and artificial intelligence with over 220 publications in high-ranking journals (100 papers) and conference proceedings (125), 5 books, 14 intellectual properties, and four patents (two granted; two provisional). His internet-of-things devices and artificial intelligence software have been deployed in several industries including aerospace, manufacturing, transportation, and waste management.
Manish Jain is a Professor in the Computer Science and Engineering Department, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. from Malaviya National Institute of Technology, Jaipur, India, after his B.Tech. (Hons.) in Computer Science and Engineering from Govt. Engineering College, Bikaner, and his M. Tech. in Computer Science and Engineering from Malaviya National Institute of Technology, Jaipur. Dr. Jain's areas of research include Artificial Intelligence, Machine Learning, Natural Language Processing, Software Testing, Aspect Oriented Programming, and Generative Adversarial Networks. He has over 15 publications in international journals of repute including SCOPUS, Web of Science, and SCIE indexed database and refereed international conferences. Dr. Jain has a unique patent on "Smart Library Management System" to his credit, which proposes the use of Machine Learning for increasing the efficiency of an institution's library. He has a total of 18 years of experience in teaching and research, and has made significant contributions to international conferences/symposiums as an expert speaker and spearheads the Industry Interface cell at JECRC University.
作者簡介(中文翻譯)
**Ajay Kumar** 是印度曼尼帕爾大學齋浦爾校區機械工程系的研究教授。他在印度希薩爾的古魯詹比斯瓦大學獲得了先進製造領域的博士學位，並在機械工程獲得榮譽學士學位（B.Tech. (Hons.)）及在製造與自動化獲得優異碩士學位（M.Tech. (Distinction)）。Kumar博士的研究領域包括增量板材成形、人工智慧、可持續材料、增材製造、機電一體化、智慧製造、工業4.0、廢物管理及優化技術。他在國際知名期刊上發表了超過120篇論文，包括SCOPUS、Web of Science和SCI索引的數據庫及國際會議論文集。Kumar博士還與ELSEVIER、CRC Press、WILEY、De Gruyter和IGI Global等出版社共同編著和編輯了多本書籍及與IOP的會議論文集。他組織了多個國內外活動，包括2021年國際機電一體化與人工智慧會議（ICMAI-2021）及2023年國際人工智慧、高級材料與機電系統會議（AIAMMS-2023），擔任會議主席。Kumar博士擁有超過20項國內外專利，並指導了超過8名碩士及博士研究生及多個本科專案/論文。他在教學和研究方面擁有15年的經驗，並擔任多本知名期刊的客座編輯及審稿編輯，包括《Frontiers in Sustainability》。Kumar博士在多個國際會議/研討會中擔任會議主席、專家演講者及編輯委員會成員。Kumar博士在其職業生涯中獲得了多項優秀獎，包括優異獎和最佳教師獎。他是德里分會QCFI學生小組的顧問，並撰寫了多本內部課程講義、實驗手冊、專著及書籍中的邀請章節。Kumar博士為研究人員、博士生、本科生及碩士生組織了一系列教師發展計畫、國際會議、工作坊及研討會，並以多種身份參與多個研究、學術及專業社團。
**Sangeeta Rani** 是印度古爾岡世界科技與管理學院計算機科學與工程系的助理教授。她正在阿米提大學（Amity University）攻讀博士學位，並在印度羅塔克的馬哈希大亞南德大學獲得碩士學位（M. Tech.）。Rani博士的研究領域包括雲計算和機器學習。Rani博士在國際知名期刊上發表了超過20篇研究論文，參加了多個國際會議並共同撰寫了超過5章書籍。她擁有14年的教學經驗，在多個國際會議中獲得最佳論文獎，並擁有超過5項國內外專利。
**Krishna D. Kumar** 是加拿大多倫多大學的航空工程教授及航空系統人工智慧實驗室（AIAS）的主任。他也是iSAC Systems Inc.的創始人及總裁，自2010年以來專注於人工智慧、物聯網及自動化。Kumar博士於1998年在印度理工學院坎普爾獲得航空工程博士學位，並在加拿大、日本、南韓及印度的多個頂尖機構擁有超過25年的學術經驗（包括多倫多大學（前身為瑞爾森大學）、日本國立航空實驗室、九州大學、韓國科學技術院、印度國防研究與發展組織及印度比爾拉科學與技術學院）。Kumar博士在自主系統、故障診斷與預測、大數據、預測分析及人工智慧等領域做出了重大貢獻，發表了超過220篇高排名期刊論文（100篇）及會議論文（125篇）、5本書籍、14項知識產權及四項專利（兩項已授權；兩項為臨時專利）。他的物聯網設備及人工智慧軟體已在航空、製造、運輸及廢物管理等多個行業中部署。
**Manish Jain** 是印度齋浦爾JECRC大學工程與技術學院計算機科學與工程系的教授。他在印度齋浦爾的馬拉維亞國立技術學院獲得博士學位，並在比卡內爾的政府工程學院獲得計算機科學與工程的榮譽學士學位（B.Tech. (Hons.)）及在馬拉維亞國立技術學院獲得計算機科學與工程的碩士學位（M. Tech.）。Jain博士的研究領域包括人工智慧、機器學習、自然語言處理、軟體測試、面向方面的程式設計及生成對抗網路。他在國際知名期刊上發表了超過15篇論文，包括SCOPUS、Web of Science及SCIE索引的數據庫及國際會議論文。Jain博士擁有一項獨特的專利，名為「智慧圖書館管理系統」，該系統提議使用機器學習來提高機構圖書館的效率。他在教學和研究方面擁有18年的經驗，並在國際會議/研討會中作為專家演講者做出了重要貢獻，並在JECRC大學負責產業介面小組。
