This book:
. Presents a comprehensive survey, performance analysis, and time complexity comparison of machine learning techniques in network security.
. Discusses energy-efficient hybrid algorithms for reconfiguration in radial distribution systems.
. Covers a detailed examination of automation approaches for the study and detection of disparate leaf diseases using computational intelligent systems.
. Illustrates applications of quantum cellular energy-efficient computing methods for automation.
. Explain cybersecurity strategies for advanced computational intelligence and customer segmentation through machine learning techniques.
The book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
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