Intelligent Technologies for Scientific by S. Kannadhasan (.ePUB)+
File Size: 22.5 MB
Intelligent Technologies for Scientific Research and Engineering, Vol 4 by S. Kannadhasan, R. Nagarajan, Kaushik Pal
Requirements: .ePUB, .PDF reader, 22.5 MB | True PDF, True EPUB
Overview: Advanced Technologies for Science and Engineering – Vol. 4 is a comprehensive compilation of cutting-edge research at the intersection of Artificial Intelligence (AI), data analytics, and advanced engineering applications. The book focuses on leveraging intelligent technologies to solve complex, real-world problems in today’s data-driven landscape. Comprising thirty-seven peer-reviewed chapters, the volume blends theoretical foundations with practical implementations across diverse domains such as healthcare informatics, smart grids, energy forecasting, remote sensing, recommender systems, and climate modelling. It highlights innovative models, optimisation techniques, and scalable frameworks, supported by real-world case studies from industries including telecommunications, banking, e-commerce, and social media. The use of various Machine Learning (ML) as well as data mining (DM) approaches has led to significant progress in CS prediction in recent years. The Deep Genetic Hierarchical Network of Learner (DGHNL) is a novel approach developed for this study. Support Vector Machines (SVMs), k-Nearest Neighbours (kNNs), Probabilistic Neural Networks (PNNs), and fuzzy structures are just some of the many types of learners that may be used in the suggested method.
Genre: Non-Fiction > Tech & Devices
Free Download links: