Modern Computational Techniques for Engineering Applications

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Release : 2023-07-21
Genre : Technology & Engineering
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Book Rating : 903/5 ( reviews)

Modern Computational Techniques for Engineering Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modern Computational Techniques for Engineering Applications write by Krishan Arora. This book was released on 2023-07-21. Modern Computational Techniques for Engineering Applications available in PDF, EPUB and Kindle. Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development. This book- Discusses the importance of renewable energy source applications wind turbines and solar panels for electrical grids. Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms that enhance the computational speed. Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data. Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques. Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.

Modern Computational Techniques for Engineering Applications

Download Modern Computational Techniques for Engineering Applications PDF Online Free

Author :
Release : 2023-07-21
Genre : Computers
Kind :
Book Rating : 873/5 ( reviews)

Modern Computational Techniques for Engineering Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modern Computational Techniques for Engineering Applications write by Krishan Arora. This book was released on 2023-07-21. Modern Computational Techniques for Engineering Applications available in PDF, EPUB and Kindle. Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development. This book- Discusses the importance of renewable energy source applications wind turbines and solar panels for electrical grids. Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms that enhance the computational speed. Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data. Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques. Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.

Computational Techniques and Applications, CTAC

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Release : 1995
Genre : Mathematical analysis
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Book Rating : /5 ( reviews)

Computational Techniques and Applications, CTAC - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Techniques and Applications, CTAC write by . This book was released on 1995. Computational Techniques and Applications, CTAC available in PDF, EPUB and Kindle.

Computational Methods and Production Engineering

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Release : 2017-05-25
Genre : Business & Economics
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Book Rating : 823/5 ( reviews)

Computational Methods and Production Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Methods and Production Engineering write by J. Paulo Davim. This book was released on 2017-05-25. Computational Methods and Production Engineering available in PDF, EPUB and Kindle. Computational Methods and Production Engineering: Research and Development is an original book publishing refereed, high quality articles with a special emphasis on research and development in production engineering and production organization for modern industry. Innovation and the relationship between computational methods and production engineering are presented. Contents include: Finite Element method (FEM) modeling/simulation; Artificial neural networks (ANNs); Genetic algorithms; Evolutionary computation; Fuzzy logic; neuro-fuzzy systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems. As computational methods currently have several applications, including modeling manufacturing processes, monitoring and control, parameters optimization and computer-aided process planning, this book is an ideal resource for practitioners. Presents cutting-edge computational methods for production engineering Explores the relationship between applied computational methods and production engineering Presents new innovations in the field Edited by a key researcher in the field

Recent Advances in Computational Engineering

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Release : 2018-08-21
Genre : Computers
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Book Rating : 916/5 ( reviews)

Recent Advances in Computational Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Advances in Computational Engineering write by Michael Schäfer. This book was released on 2018-08-21. Recent Advances in Computational Engineering available in PDF, EPUB and Kindle. This book comprises the proceedings of the 4th International Conference on Computational Engineering (ICCE 2017), held in Darmstadt, Germany on September 28-29, 2017. The conference is intended to provide an interdisciplinary meeting place for researchers and practitioners working on computational methods in all disciplines of engineering, applied mathematics and computer science. The aims of the conference are to discuss the state of the art in this challenging field, exchange experiences, develop promising perspectives for future research and initiate further cooperation. Computational Engineering is a modern and multidisciplinary science for computer-based modeling, simulation, analysis, and optimization of complex engineering applications and natural phenomena. The book contains an overview of selected approaches from numerics and optimization of Partial Differential Equations as well as uncertainty quantification techniques, typically in multiphysics environments. Where possible, application cases from engineering are integrated. The book will be of interest to researchers and practitioners of Computational Engineering, Applied Mathematics, Engineering Sciences and Computer Science.