Engineering Mathematics And Artificial Intelligence
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Engineering Mathematics and Artificial Intelligence
Author | : Herb Kunze,Davide La Torre,Adam Riccoboni,Manuel Ruiz Galán |
Publsiher | : CRC Press |
Total Pages | : 530 |
Release | : 2023-07-26 |
Genre | : Technology & Engineering |
ISBN | : 9781000907872 |
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Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques
Artificial Intelligence and Applied Mathematics in Engineering Problems
Author | : D. Jude Hemanth,Utku Kose |
Publsiher | : Springer Nature |
Total Pages | : 1105 |
Release | : 2020-01-03 |
Genre | : Technology & Engineering |
ISBN | : 9783030361785 |
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This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.
Mathematics for Machine Learning
Author | : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong |
Publsiher | : Cambridge University Press |
Total Pages | : 391 |
Release | : 2020-04-23 |
Genre | : Computers |
ISBN | : 9781108470049 |
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Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
Engineering Mathematics and Computing
Author | : Park Gyei-Kark,Dipak Kumar Jana,Prabir Panja,Mohd Helmy Abd Wahab |
Publsiher | : Springer Nature |
Total Pages | : 303 |
Release | : 2022-10-03 |
Genre | : Mathematics |
ISBN | : 9789811923005 |
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This book contains select papers presented at the 3rd International Conference on Engineering Mathematics and Computing (ICEMC 2020), held at the Haldia Institute of Technology, Purba Midnapur, West Bengal, India, from 5–7 February 2020. The book discusses new developments and advances in the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, hybrid intelligent systems, etc. The book, containing 19 chapters, is useful to the researchers, scholars, and practising engineers as well as graduate students of engineering and applied sciences.
Simulation and Analysis of Mathematical Methods in Real Time Engineering Applications
Author | : T. Ananth Kumar,E. Golden Julie,Y. Harold Robinson,S. M. Jaisakthi |
Publsiher | : John Wiley & Sons |
Total Pages | : 370 |
Release | : 2021-08-16 |
Genre | : Mathematics |
ISBN | : 9781119785507 |
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SIMULATIONS AND ANALYSIS of Mathematical Methods Written and edited by a group of international experts in the field, this exciting new volume covers the state of the art of real-time applications of computer science using mathematics. This breakthrough edited volume highlights the security, privacy, artificial intelligence, and practical approaches needed by engineers and scientists in all fields of science and technology. It highlights the current research, which is intended to advance not only mathematics but all areas of science, research, and development, and where these disciplines intersect. As the book is focused on emerging concepts in machine learning and artificial intelligence algorithmic approaches and soft computing techniques, it is an invaluable tool for researchers, academicians, data scientists, and technology developers. The newest and most comprehensive volume in the area of mathematical methods for use in real-time engineering, this groundbreaking new work is a must-have for any engineer or scientist’s library. Also useful as a textbook for the student, it is a valuable contribution to the advancement of the science, both a working handbook for the new hire or student, and a reference for the veteran engineer.
Artificial Intelligence and Applied Mathematics in Engineering Problems
Author | : D. Jude Hemanth,Utku Kose |
Publsiher | : Unknown |
Total Pages | : 1105 |
Release | : 2020 |
Genre | : Artificial intelligence |
ISBN | : 3030361799 |
Download Artificial Intelligence and Applied Mathematics in Engineering Problems Book in PDF, Epub and Kindle
This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20-22 April 2019 at Antalya, Manavgat (Turkey). In todays world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M. Sc. and Ph. D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.
Trends in Data Engineering Methods for Intelligent Systems
Author | : Jude Hemanth,Tuncay Yigit,Bogdan Patrut,Anastassia Angelopoulou |
Publsiher | : Springer Nature |
Total Pages | : 797 |
Release | : 2021-07-05 |
Genre | : Computers |
ISBN | : 9783030793579 |
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This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.
Artificial Intelligence in Mechanical and Industrial Engineering
Author | : Kaushik Kumar,Divya Zindani,J. Paulo Davim |
Publsiher | : CRC Press |
Total Pages | : 156 |
Release | : 2021-06-21 |
Genre | : Computers |
ISBN | : 9781000396935 |
Download Artificial Intelligence in Mechanical and Industrial Engineering Book in PDF, Epub and Kindle
Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.