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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| Other Authors: | , , |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Berlin/Boston
De Gruyter
2022
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| Series: | De Gruyter STEM
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 520 | |a 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. | ||
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| 653 | |a Resource-Aware Machine Learning | ||
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| 653 | |a Artificial Intelligence | ||
| 653 | |a Highly Distributed Data | ||
| 653 | |a ML on Small devices Data mining for Ubiquitous System Software | ||
| 653 | |a Cyber-physical systems | ||
| 653 | |a Machine learning in high-energy physics | ||
| 653 | |a Machine learning for knowledge discovery | ||
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