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. Artificial intelligence enables Machine Learning (ML) approaches to autonomously learn from experiences and data without explicit programming, enhancing their adaptability and effectiveness in cybersecurity. ML system finds applications across various domains such as education, healthcare, business, and cybersecurity. In cybersecurity, ML method is pivotal in detecting and combating digital threats, including intrusion detection system. They are also utilized in phishing detection, spam filtering, fraud detection, and malware analysis.

High-Performance Automation Methods for CI PDF

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