000			02283nam a22002777a 4500
005			20260309112833.0
008			260309b |||||||| |||| 00| 0 eng d
020			_a9783031648311
040			_cAL
041			_aEnglish
082			_a001.535 _bMUTU
100			_aChristopher Mutschler Ed _9258316
245			_aUnlocking artificial intelligence _b: from theory to applications
260			_aSwitzerland _bSpringer _c2024
300			_axvi,380p. _bHB _c24x16cm.
365			_aIN-650 _b₹4230.30 _c₹ _d₹5518.00 _f27-01-2026
520			_aThis 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.
650			_aArtificial Intelligence _9258307
650			_aMachine Learning _9258308
650			_aData Science and Analytics _9258309
650			_aComputer Applications _9258310
700			_a Münzenmayer, Christian Ed _9258283
700			_aUhlmann, Norman Ed _9258284
700			_aMartin, Alexander Ed _9258285
942			_2ddc _cBK
999			_c241016 _d241016