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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.
This book is included in DOAB.
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Keywords
- Algorithms & data structures
- artificial intelligence
- Big Data and Machine Learning
- Chemistry
- Computer networking & communications
- Computer programming / software development
- Computer science
- Computing & information technology
- cyber-physical systems
- data analysis
- Databases
- Embedded Systems and Machine Learning
- Highly Distributed Data
- Machine learning for knowledge discovery
- Machine learning in high-energy physics
- Mathematics & science
- ML on Small devices Data mining for Ubiquitous System Software
- Resource-Aware Machine Learning
- Resource-Constrained
- 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
Links
DOI: 10.1515/9783110785982Editions