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dc.contributor.editorMutschler, Christopher
dc.contributor.editorMünzenmayer, Christian
dc.contributor.editorUhlmann, Norman
dc.contributor.editorMartin, Alexander
dc.date.accessioned2024-08-13T07:38:08Z
dc.date.available2024-08-13T07:38:08Z
dc.date.issued2024
dc.identifierONIX_20240813_9783031648328_32
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/92701
dc.description.abstractThis 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UX Applied computing
dc.subject.othermachine learning
dc.subject.othertime-series analysis
dc.subject.otherartificial intelligence
dc.subject.otherdata annotation
dc.subject.otherlogistics and transportation applications
dc.subject.otherhealthcare informatics
dc.subject.othergeographical information systems
dc.titleUnlocking Artificial Intelligence
dc.title.alternativeFrom Theory to Applications
dc.typebook
oapen.identifier.doi10.1007/978-3-031-64832-8
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy6bdab734-66fe-4cd3-a8ea-9c8b85a8a9bf
oapen.relation.isbn9783031648328
oapen.relation.isbn9783031648311
oapen.imprintSpringer Nature Switzerland
oapen.pages380
oapen.place.publicationCham
oapen.grant.number[...]


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