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Applications

dc.contributor.editorMorik, Katharina
dc.contributor.editorWietfeld, Christian
dc.contributor.editorRahnenführer, Jörg
dc.date.accessioned2023-01-31T04:03:46Z
dc.date.available2023-01-31T04:03:46Z
dc.date.issued2022
dc.date.submitted2023-01-30T17:08:53Z
dc.identifierONIX_20230130_9783110785982_88
dc.identifierOCN: 1356994899
dc.identifierhttps://library.oapen.org/handle/20.500.12657/61130
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/96499
dc.description.abstractVolume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics, steel production and milling for quality control during manufacturing processes in traffic, logistics for smart cities and for mobile communications.
dc.languageEnglish
dc.relation.ispartofseriesDe Gruyter STEM
dc.rightsopen access
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PN Chemistryen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structuresen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databasesen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UT Computer networking and communicationsen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherResource-Constrained
dc.subject.otherData Analysis
dc.subject.otherResource-Aware Machine Learning
dc.subject.otherEmbedded Systems and Machine Learning
dc.subject.otherBig Data and Machine Learning
dc.subject.otherArtificial Intelligence
dc.subject.otherHighly Distributed Data
dc.subject.otherML on Small devices Data mining for Ubiquitous System Software
dc.subject.otherCyber-physical systems
dc.subject.otherMachine learning in high-energy physics
dc.subject.otherMachine learning for knowledge discovery
dc.subject.otherthema EDItEUR::P Mathematics and Science::PN Chemistry
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UN Databases
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
dc.titleApplications
dc.typebook
oapen.identifier.doi10.1515/9783110785982
oapen.relation.isPublishedByaf2fbfcc-ee87-43d8-a035-afb9d7eef6a5
oapen.relation.isbn9783110785982
oapen.relation.isbn9783110785975
oapen.relation.isbn9783110786149
oapen.imprintDe Gruyter
oapen.pages470
oapen.place.publicationBerlin/Boston
dc.seriesnumberVolume 3


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open access
Except where otherwise noted, this item's license is described as open access