Intelligent computation is the need of the current society. This field attracts numerous attentions for the application-oriented systems. It is needed for the execution of various society-related solutions. The automation methods help to comfort the life and development of efficient systems. The available theories and concepts are implemented for the benefit of society. It changes the world drastically. The advancement of the existing ideas is simulated in scenario of the future intelligent automation systems. The complicated problems can be easily solved using the mentioned approaches. The decisive nature of the algorithms builds the system more intelligent. This book consists of current trends in the relevant field and the outline for the development of future automated systems. The intelligence behaviour of the systems is the prime requirement for the age development. The gaps of the current development scenarios need to be identified and bridging this gap by incorporating the highly efficient algorithms, ideas, and working prototypes.
This book:
Presents a comprehensive survey, performance analysis, and time complexity comparison of machine learning techniques in network security. Discuses energy efficient hybrid algorithm for reconfiguration in radial distribution systems. Covers 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.
It 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.
