Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development
Jain, Madhu, Sharma, Dinesh K., Kulshrestha, Rakhee
- 出版商: CRC
- 出版日期: 2024-12-19
- 售價: $2,780
- 貴賓價: 9.5 折 $2,641
- 語言: 英文
- 頁數: 404
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032479299
- ISBN-13: 9781032479293
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相關分類:
Machine Learning
尚未上市,無法訂購
相關主題
商品描述
The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport's intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics.
The book:
- Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways
- Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems
- Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases
- Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved
- Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach
The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.
商品描述(中文翻譯)
本書專注於數學建模及其在機器學習和人工智慧的先進技術應用,包括人工神經網絡、進化計算、資料探勘和模糊系統,以更精確地解決性能和設計問題。智能計算涵蓋了提供有效且高效解決方案的技術、演算法和模型,適用於廣泛的問題,包括機場的智能安全系統。本書將成為工業工程、製造工程、計算機工程和數學等領域的高年級本科生、研究生及學術研究者的理想參考書。
本書內容包括:
- 討論交通、可持續供應鏈、車輛自組網絡及具智能閘道的物聯網網絡的數學建模
- 涵蓋針對現實世界問題的先進機器學習、人工智慧、模糊系統、進化計算和資料探勘技術
- 提出數學模型在慢性疾病(如腎臟病和冠狀動脈疾病)中的應用
- 突顯數學建模的進展、機器學習和人工智慧的優勢與益處,包括驅動目標、適用性、演算法及相關過程
- 展示數學模型、機器學習和智能計算的實際新興主題,採用跨學科的方法
本書在單一卷冊中呈現數學模型、機器學習和智能計算的實際新興主題,將成為工業與製造工程、計算機工程和數學等多個領域的高年級本科生、研究生及研究者的理想教材。
作者簡介
MADHU JAIN is presently working as an Associate Professor in the Department of Mathematics, Indian Institute of Technology Roorkee, India. Before joining IIT Roorkee, she served as Reader/Associate Professor/Professor in the Department of Mathematics in Dr. B.R.A. University, Agra, for 10 years (1999 - 2008) and as visiting faculty in Indian Institute of Technology, Delhi (1994-1997). She has published over 400 research papers in International Journals, over 100 papers in Conference Proceeding/edited books, and 20 books. She was conferred Young Scientist Award & SERC Visiting Fellow of the Department of Science and Technology (DST), India, and Career Award of University Grant Commission (UGC), India. For outstanding contribution in research, IT Vikas Parisad, India conferred her Vigyan Gaurav award (2007). She is the recipient of the Distinguish Service Award (2011) of Vijnana Parisad of India for her outstanding contributions to Mathematics. She was Visiting Fellow of Isaac Newton Institute of Mathematical Sciences, Cambridge, UK, for during summer in 2010, 2011 & 2014. At present, Dr. Madhu Jain is holding the post of President of Vijnana Parisad of India, Secretary of Operations Research Society of India, Agra Chapter, and General Secretary of Global Society of Mathematical and Allied Sciences. She has participated over 150 International/National Conferences in India and Abroad and visited many reputed universities/Institutes in USA, Canada, Australia, UK, Germany, France, Holland, Belgium, Taiwan, UAE. Her current research interest includes Performance modeling of Computer Communication Networks (CCN), Queueing theory, Software and hardware reliability, Supply chain management, Bio-informatics, Soft computing, etc.
DINESH K. SHARMA is a Professor of Quantitative Methods and Computer Applications in the Department of Business, Management and Accounting at the University of Maryland Eastern Shore, USA. He earned his MS in Mathematics, MS in Computer Science, a Ph.D. in Operations Research, and a second Ph.D. in Management. Professor Sharma has over twenty-eight years of teaching experience, has served on several committees to supervise Ph.D. students, and acts as an external Ph.D. thesis examiner for several universities in India. Dr. Sharma's research interests include mathematical programming, artificial intelligence and machine learning techniques, supply chain management, healthcare management, and portfolio management. He has published over 250 refereed journal articles and conference proceedings and has also won fifteen best paper awards. Professor Sharma has collaborated on a number of funded research grants. Professor Sharma is the Editor of the Journal of Global Information Technology and Review of Business and Technology Research and is on the editorial board of several journals and a paper reviewer for many additional journals and conferences. Additionally, he is a member of Decision Sciences (USA), a life member of the Operational Research Society of India, and served as a program chair and coordinator of several international conferences in many countries.
RAKHEE KULSHRESTHA is faculty in the Department of Mathematics, Birla Institute of Technology and Science, Pilani. She has received Bachelor of Science, Master of Science in Operations Research from Dr. B.R. Ambedker University, Agra. She has completed her Ph.D. from Centre for Information and Decision Sciences, B.R. Ambedkar University, Agra. There are more than 30 research publications in refereed International/National journals/proceedings, a monograph and a patent to her credit. She has participated in over 40 International/National Conferences in India and Abroad and visited many reputed universities/Institutes in Germany, Turkey, Singapore. Her research interests include the areas of applied probability, performance analysis of communication networks, inventory and supply chain management.
H.S. HOTA is a Professor and Department Head at Atal Bihari Vajpayee University in Bilaspur. He earned his Ph.D. from Guru Ghasidas Central University in Bilaspur. His research interests include Artificial Intelligence and Machine Learning, Business Intelligence, Information Security, and Data Mining, and he has published over 75 refereed journal articles in reputable journals. In conference proceedings, more than 60 articles have been published. He has also won five best paper awards at international conferences. He has also been to several countries and spoken at international conferences.
作者簡介(中文翻譯)
MADHU JAIN 目前擔任印度羅爾基印度科技學院數學系的副教授。在加入 IIT 羅爾基之前,她曾在德拉 B.R.A. 大學(阿格拉)數學系擔任講師/副教授/教授達 10 年(1999 - 2008),並於 1994 至 1997 年期間擔任德里印度科技學院的訪問教員。她在國際期刊上發表了超過 400 篇研究論文,在會議論文集/編輯書籍中發表了超過 100 篇論文,並出版了 20 本書籍。她曾獲得印度科學與技術部(DST)的青年科學家獎及 SERC 訪問研究員,並獲得印度大學授權委員會(UGC)的職業獎。因在研究方面的傑出貢獻,印度 IT Vikas Parisad 頒發給她 Vigyan Gaurav 獎(2007)。她是印度 Vijnana Parisad 的傑出服務獎(2011)獲得者,以表彰她對數學的卓越貢獻。她於 2010、2011 和 2014 年的夏季擔任英國劍橋的艾薩克·牛頓數學科學研究所的訪問研究員。目前,Madhu Jain 博士擔任印度 Vijnana Parisad 會長、阿格拉運籌學會的秘書以及全球數學與相關科學協會的總秘書。她參加了超過 150 場國際/國內會議,並訪問了美國、加拿大、澳大利亞、英國、德國、法國、荷蘭、比利時、台灣和阿聯酋的多所知名大學/研究所。她目前的研究興趣包括計算機通信網絡(CCN)的性能建模、排隊理論、軟體和硬體可靠性、供應鏈管理、生物信息學、軟計算等。
DINESH K. SHARMA 是美國馬里蘭東岸大學商業、管理與會計系的定量方法與計算機應用教授。他獲得數學碩士、計算機科學碩士、運籌學博士及管理學第二博士學位。Sharma 教授擁有超過 28 年的教學經驗,曾在多個委員會中擔任博士生的監督,並擔任多所印度大學的外部博士論文考官。Sharma 博士的研究興趣包括數學規劃、人工智慧和機器學習技術、供應鏈管理、醫療管理和投資組合管理。他發表了超過 250 篇經過審核的期刊文章和會議論文,並獲得了 15 項最佳論文獎。Sharma 教授參與了多項資助的研究計畫。他是《全球信息技術期刊》和《商業與技術研究評論》的編輯,並在多個期刊的編輯委員會中任職,還擔任許多其他期刊和會議的論文審稿人。此外,他是美國決策科學學會的成員,印度運籌學會的終身會員,並在多個國家的國際會議中擔任程序主席和協調員。
RAKHEE KULSHRESTHA 是比爾拉科技與科學學院(Pilani)數學系的教員。她獲得了科學學士學位和來自德拉 B.R. 安貝德卡大學的運籌學碩士學位。她在德拉 B.R. 安貝德卡大學的資訊與決策科學中心完成了博士學位。她在經過審核的國際/國內期刊/會議上發表了超過 30 篇研究論文,並擁有一部專著和一項專利。她參加了超過 40 場國際/國內會議,並訪問了德國、土耳其和新加坡的多所知名大學/研究所。她的研究興趣包括應用概率、通信網絡的性能分析、庫存和供應鏈管理等領域。