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...
Enregistré dans:
| Autres auteurs: | , , |
|---|---|
| Format: | Électronique Chapitre de livre |
| Langue: | anglais |
| Publié: |
Berlin/Boston
De Gruyter
2022
|
| Collection: | De Gruyter STEM
Volume 3 |
| Sujets: | |
| Accès en ligne: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | oapen_2024_20_500_12657_61130 | ||
| 005 | 20230130 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20230130s2022 xx |||||o ||| 0|eng d | ||
| 020 | |a 9783110785982 | ||
| 020 | |a 9783110785982 | ||
| 020 | |a 9783110785975 | ||
| 020 | |a 9783110786149 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.1515/9783110785982 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a PN |2 bicssc | |
| 072 | 7 | |a UMB |2 bicssc | |
| 072 | 7 | |a UN |2 bicssc | |
| 072 | 7 | |a UT |2 bicssc | |
| 072 | 7 | |a UYQ |2 bicssc | |
| 100 | 1 | |a Morik, Katharina |4 edt | |
| 700 | 1 | |a Wietfeld, Christian |4 edt | |
| 700 | 1 | |a Rahnenführer, Jörg |4 edt | |
| 700 | 1 | |a Morik, Katharina |4 oth | |
| 700 | 1 | |a Wietfeld, Christian |4 oth | |
| 700 | 1 | |a Rahnenführer, Jörg |4 oth | |
| 245 | 1 | 0 | |a Applications |
| 260 | |a Berlin/Boston |b De Gruyter |c 2022 | ||
| 300 | |a 1 electronic resource (470 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a De Gruyter STEM |v Volume 3 | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Chemistry |2 bicssc | |
| 650 | 7 | |a Algorithms & data structures |2 bicssc | |
| 650 | 7 | |a Databases |2 bicssc | |
| 650 | 7 | |a Computer networking & communications |2 bicssc | |
| 650 | 7 | |a Artificial intelligence |2 bicssc | |
| 653 | |a Resource-Constrained | ||
| 653 | |a Data Analysis | ||
| 653 | |a Resource-Aware Machine Learning | ||
| 653 | |a Embedded Systems and Machine Learning | ||
| 653 | |a Big Data and Machine Learning | ||
| 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 | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/id/ca1acd2b-13fa-4927-b1ad-dc1a72082687/9783110785982.pdf |7 0 |z OAPEN Library: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/handle/20.500.12657/61130 |7 0 |z OAPEN Library: description of the publication |