Applications

• Other Authors: Morik, Katharina (Editor), Wietfeld, Christian (Editor), Rahnenführer, Jörg (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Berlin/Boston De Gruyter 2022
• Series: De Gruyter STEM Volume 3
• Subjects: Chemistry; Algorithms & data structures; Databases; Computer networking & communications; Artificial intelligence; 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
• Online Access: OAPEN Library: download the publication; OAPEN Library: description of the publication

Summary

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.

Physical Description

1 electronic resource (470 p.)

ISBN

9783110785982
9783110785975
9783110786149

Access

Open Access