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Applications

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...

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Bibliographic Details
Main Author: Morik, Katharina
Other Authors: Wietfeld, Christian, Rahnenführer, Jörg
Format: eBook
Language:English
Published: Berlin/Boston De Gruyter 2022
Series:De Gruyter STEM
Subjects:
Machine Learning In High-energy Physics
Ml On Small Devices Data Mining For Ubiquitous System Software
Resource-aware Machine Learning
Data Analysis
Artificial Intelligence / Bicssc
Resource-constrained
Cyber-physical Systems
Computer Networking And Communications / Bicssc
Artificial Intelligence
Machine Learning For Knowledge Discovery
Big Data And Machine Learning
Databases / Bicssc
Highly Distributed Data
Embedded Systems And Machine Learning
Algorithms And Data Structures / Bicssc
Chemistry / Bicssc
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (470 p.)
ISBN:9783110785982
9783110786149
9783110785975

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