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Can I read Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development on EtoBox?
Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development by Madhu Jain, Dinesh K. Sharma, Rakhee Kulshrestha, H. S. Hota is a nonfiction available to read on EtoBox.
What is Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development about?
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, an
Who reads Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Madhu Jain, Dinesh K. Sharma, Rakhee Kulshrestha, H. S. Hota
- Publisher
- CRC Press Inc
- Published
- 2023
- Language
- EN
- ISBN
- 9781032479293
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Technology
Other editions & translations
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