Intelligent Computing – serie

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of computer science methods that incorporate AI across many domains. It covers techniques such as Machine Learning (ML), Convolutional Neural Networks (CNN), Deep Learning (DL), and Large Language Models (LLM) to tackle complex issues and overcome various challenges.

Through the application of cutting-edge techniques like Big Data, Data Mining, and Data Science, it is possible to extract insights from massive datasets. These methodologies are crucial in enabling informed decision-making and driving transformative advancements across many fields, industries, and domains. This book offers an overview of latest tools, methods and approaches while also highlighting their practical use through various applications and case studies.

Imaging Science consists of three core interconnected pillars – Image Processing, Computer Vision, and Pattern Recognition. This book showcases groundbreaking applications and provides solid foundation in the theoretical underpinnings and low-level processing techniques of each field. Dive into practical examples showcasing the power of pattern recognition algorithms and emerge equipped to contribute to the vibrant research communities.