000 02212nam a22002657a 4500
005 20260722152819.0
008 260722s2024 |||||||| |||| 00| 0 eng d
020 _a9783031648311
040 _cPK-LaUMT
082 _a006.3
_bUNL-
245 0 0 _aUnlocking artificial intelligence :
_bfrom theory to applications /
_cedited by Christopher Mutschler . . . [et al.]
260 _aCham :
_bSpringer,
_c2024
300 _axvi, 380 p.
500 _aIncludes bibliographical references and index.
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
546 _aEng
650 _aMachine learning
650 _aDeep learning
650 _aIntelligent systems
_914044
700 1 _aMutschler, Christopher
_914045
700 1 _aMünzenmayer, Christian
_914046
700 1 _aUhlmann, Norman
_914047
700 1 _aMartin, Alexander
_914048
942 _cBK
999 _c141583
_d141583