Intelligent computation is the need of the current society. This field attracts significant attention due to its application‑oriented systems. It is essential for implementing various society‑related solutions. Automation methods help improve the quality of life and support the development of efficient systems. The available theories and concepts are implemented for the benefit of society, drastically changing the world. The advancement of the existing ideas is simulated in the scenario of 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 targets current trends in the relevant field and outlines a path for the development of future automated systems. The intelligence behaviour of the systems is the prime requirement for the age development. The gaps in the current development scenarios need to be identified and bridged by incorporating 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
• 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.

Computational methods are necessary for the proper execution of the applications for the benefit of society and technological development. Technological development makes life easier by constructing powerful systems with the help of computational methods. The nature of computational methods changes from time to time and retains only efficient applicable theories. Researchers take the idea of existing computational systems and advance them as per possible future needs. Efficient computational methods solve complex problems and also help to make the system more intelligent. Automation process requires decision-making computational systems. A more intelligent system contains an efficient computational method, which is described by powerful algorithm development. The aim of this book is to identify the technological development for future computational systems, which ultimately reflects the more intelligent system. Automation has become the need of the hour in today’s world, and hence, the computational systems need to be upgraded to that level to perform the required tasks. The most efficient computational algorithm acts like a human being and offers a full sense of intelligent automation.

This book:

• Presents the latest research trends for the upcoming computational intelligent systems in a comprehensive manner
• Focuses on the integration of multi-purpose and multi-dimension natural language into intelligent systems
• Elaborates on nature-inspired and intelligent behaviour-based computational methods to deal with the observation of nature
• Illustrates applications of quantum cellular energy-efficient computing methods for automation and applications of genetic algorithms in multidisciplinary fields
• Discusses aspects of intelligent automation like technology-based, architecture-based, logic implementation-based, and the different algorithms-based concepts

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.