Applications
Contributor(s)
Morik, Katharina (editor)
Wietfeld, Christian (editor)
Rahnenführer, Jörg (editor)
Language
EnglishAbstract
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.
Keywords
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 discoveryISBN
9783110785982, 9783110785975, 9783110786149Publisher
De GruyterPublisher website
http://www.degruyter.com/Publication date and place
Berlin/Boston, 2022Imprint
De GruyterSeries
De Gruyter STEM,Classification
Chemistry
Algorithms & data structures
Databases
Computer networking & communications
Artificial intelligence
Pages
470
Except where otherwise noted, this item's license is described
as
open access