02283nam a22002777a 4500 20260309112833.0 260309b |||||||| |||| 00| 0 eng d 9783031648311 AL English 001.535 MUTU Christopher Mutschler Ed 258316 Unlocking artificial intelligence : from theory to applications Switzerland Springer 2024 xvi,380p. HB 24x16cm. IN-650 ₹4230.30 ₹ ₹5518.00 27-01-2026 This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages. The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications. Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research. Artificial Intelligence 258307 Machine Learning 258308 Data Science and Analytics 258309 Computer Applications 258310 Münzenmayer, Christian Ed 258283 Uhlmann, Norman Ed 258284 Martin, Alexander Ed 258285 ddc BK 241016 241016 0 0 ddc 0 0 CSE-AIML SE SE 2026-03-09 amazon.in 4230.30 0 001.535 MUTU SE000286 2026-03-09 11:11:19 5518.00 2026-01-27 BK