Artificial Intelligence and Machine Learning Techniques in Engineering and Management
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The present book covers various facets of Artificial Intelligence, Machine Learning and Fuzzy Logic. It includes a brief discussion on performance indicators, Classical and Advanced Machine Learning techniques, Fuzzy logic-based modelling techniques, and advanced topics, including Blockchain, Generative AI, Meta-Heuristic Optimization algorithms, the Internet of Things, Big Data, Decision Support Systems, and representative case studies. Representative data sources, journals, books, test functions for utilizing optimization algorithms, and representative evolutionary algorithms are part of the appendix. The present book can support undergraduate, postgraduate, and Ph.D. students in Artificial Intelligence, Generative Artificial Intelligence, Machine Learning, Data Sciences, Soft Computing, and Fuzzy Logic in Engineering and Management and allied fields. The proposed book has immense value in the interdisciplinary and cross-disciplinary context.
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