Modern Computational Techniques for Engineering Applications by Krishan Arora, Vikram Kumar, Deepak Prashar, Suman Lata Tupathi
Requirements: .PDF reader, 42 MB
Overview: 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.
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.
Genre: Non-Fiction > Tech & Devices artificial neural networks, fuzzy systems, Machine Learning,
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