Book

The book presents comprehensive insights into conventional and advanced signal processing techniques, feature extraction, signal transformation, optimization algorithms, intelligent classification, and data-driven predictive modelling. It highlights the applications of artificial intelligence in analysing complex signals, identifying meaningful patterns, improving classification accuracy, and addressing challenges associated with noise, variability, and computational complexity.Special emphasis is placed on advanced deep learning architectures, hybrid intelligent models, optimization-based approaches, and automated decision-making frameworks for real-world engineering applications. The discussions provide valuable perspectives on the application of AI-driven methodologies in electrical and electronic systems, communication engineering, acoustic signal analysis, biomedical signal processing, environmental monitoring, and intelligent recognition systems.