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Bibliographic details for Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract
- Page name: Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract
- Author: WikiPatents contributors
- Publisher: WikiPatents, .
- Date of last revision: 25 July 2024 07:22 UTC
- Date retrieved: 22 October 2024 12:38 UTC
- Permanent URL: http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085
- Page Version ID: 201085
Citation styles for Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract
APA style
Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract. (2024, July 25). WikiPatents, . Retrieved 12:38, October 22, 2024 from http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085.
MLA style
"Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract." WikiPatents, . 25 Jul 2024, 07:22 UTC. 22 Oct 2024, 12:38 <http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085>.
MHRA style
WikiPatents contributors, 'Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract', WikiPatents, , 25 July 2024, 07:22 UTC, <http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085> [accessed 22 October 2024]
Chicago style
WikiPatents contributors, "Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract," WikiPatents, , http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085 (accessed October 22, 2024).
CBE/CSE style
WikiPatents contributors. Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract [Internet]. WikiPatents, ; 2024 Jul 25, 07:22 UTC [cited 2024 Oct 22]. Available from: http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085.
Bluebook style
Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract, http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085 (last visited October 22, 2024).
BibTeX entry
@misc{ wiki:xxx, author = "WikiPatents", title = "Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract --- WikiPatents{,} ", year = "2024", url = "http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085", note = "[Online; accessed 22-October-2024]" }
When using the LaTeX package url (\usepackage{url}
somewhere in the preamble) which tends to give much more nicely formatted web addresses, the following may be preferred:
@misc{ wiki:xxx, author = "WikiPatents", title = "Huawei technologies co., ltd. (20240249133). SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING simplified abstract --- WikiPatents{,} ", year = "2024", url = "\url{http://wikipatents.org/index.php?title=Huawei_technologies_co.,_ltd._(20240249133)._SYSTEMS,_APPARATUSES,_METHODS,_AND_NON-TRANSITORY_COMPUTER-READABLE_STORAGE_DEVICES_FOR_TRAINING_ARTIFICIAL-INTELLIGENCE_MODELS_USING_ADAPTIVE_DATA-SAMPLING_simplified_abstract&oldid=201085}", note = "[Online; accessed 22-October-2024]" }