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oapen-20.500.12657-611302024-03-27T14:14:23Z Applications Morik, Katharina Wietfeld, Christian Rahnenführer, Jörg Resource-Constrained Data Analysis Resource-Aware Machine Learning Embedded Systems and Machine Learning Big Data and Machine Learning Artificial Intelligence Highly Distributed Data ML on Small devices Data mining for Ubiquitous System Software Cyber-physical systems Machine learning in high-energy physics Machine learning for knowledge discovery thema EDItEUR::P Mathematics and Science::PN Chemistry thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Volume 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. 2023-01-30T17:08:53Z 2023-01-30T17:08:53Z 2022 book ONIX_20230130_9783110785982_88 9783110785982 9783110785975 9783110786149 https://library.oapen.org/handle/20.500.12657/61130 eng De Gruyter STEM application/pdf Attribution 4.0 International 9783110785982.pdf https://www.degruyter.com/isbn/9783110785982 De Gruyter De Gruyter 10.1515/9783110785982 10.1515/9783110785982 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 9783110785982 9783110785975 9783110786149 De Gruyter Volume 3 470 Berlin/Boston open access
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