Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309197259> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4309197259 endingPage "165" @default.
- W4309197259 startingPage "155" @default.
- W4309197259 abstract "The novel coronavirus (COVID-2019) pandemic has caused the devastating effect on public health and global economy. It has infected about 231 million individuals globally, and approximately 4.7 million have died as a result. Recent findings suggest that X-ray imaging techniques can provide salient information about the COVID-19 virus. Since then, many deep learning models have been developed and open-sourced. During the development of the deep learning models, several hyper-parameters need to be tuned. In this paper, the authors have proposed a method through which the process of hyper-parameter tuning of the deep learning models can be automated using the concept of MLOps. The collection of procedures aimed at maintaining deep learning models in a reliable and efficient manner is termed as MLOps. The proposed approach helped in achieving an improved accuracy of 97.03%, in less time without human interface. This will eliminate the requirement of trained personnel during the model re-training stage as the system has the facility to retrain itself continuously, till the permissible accuracy is achieved." @default.
- W4309197259 created "2022-11-24" @default.
- W4309197259 creator A5005754366 @default.
- W4309197259 creator A5084786630 @default.
- W4309197259 date "2022-11-16" @default.
- W4309197259 modified "2023-10-17" @default.
- W4309197259 title "Automatic Enhancement of Deep Neural Networks for Diagnosis of COVID-19 Cases with X-ray Images Using MLOps" @default.
- W4309197259 cites W2963446712 @default.
- W4309197259 cites W3105081694 @default.
- W4309197259 cites W3169397385 @default.
- W4309197259 doi "https://doi.org/10.1007/978-981-19-4182-5_13" @default.
- W4309197259 hasPublicationYear "2022" @default.
- W4309197259 type Work @default.
- W4309197259 citedByCount "0" @default.
- W4309197259 crossrefType "book-chapter" @default.
- W4309197259 hasAuthorship W4309197259A5005754366 @default.
- W4309197259 hasAuthorship W4309197259A5084786630 @default.
- W4309197259 hasConcept C108583219 @default.
- W4309197259 hasConcept C111919701 @default.
- W4309197259 hasConcept C116675565 @default.
- W4309197259 hasConcept C119857082 @default.
- W4309197259 hasConcept C142724271 @default.
- W4309197259 hasConcept C154945302 @default.
- W4309197259 hasConcept C159047783 @default.
- W4309197259 hasConcept C2779134260 @default.
- W4309197259 hasConcept C2780719617 @default.
- W4309197259 hasConcept C3006700255 @default.
- W4309197259 hasConcept C3007834351 @default.
- W4309197259 hasConcept C3008058167 @default.
- W4309197259 hasConcept C41008148 @default.
- W4309197259 hasConcept C50644808 @default.
- W4309197259 hasConcept C524204448 @default.
- W4309197259 hasConcept C71924100 @default.
- W4309197259 hasConcept C89623803 @default.
- W4309197259 hasConcept C98045186 @default.
- W4309197259 hasConceptScore W4309197259C108583219 @default.
- W4309197259 hasConceptScore W4309197259C111919701 @default.
- W4309197259 hasConceptScore W4309197259C116675565 @default.
- W4309197259 hasConceptScore W4309197259C119857082 @default.
- W4309197259 hasConceptScore W4309197259C142724271 @default.
- W4309197259 hasConceptScore W4309197259C154945302 @default.
- W4309197259 hasConceptScore W4309197259C159047783 @default.
- W4309197259 hasConceptScore W4309197259C2779134260 @default.
- W4309197259 hasConceptScore W4309197259C2780719617 @default.
- W4309197259 hasConceptScore W4309197259C3006700255 @default.
- W4309197259 hasConceptScore W4309197259C3007834351 @default.
- W4309197259 hasConceptScore W4309197259C3008058167 @default.
- W4309197259 hasConceptScore W4309197259C41008148 @default.
- W4309197259 hasConceptScore W4309197259C50644808 @default.
- W4309197259 hasConceptScore W4309197259C524204448 @default.
- W4309197259 hasConceptScore W4309197259C71924100 @default.
- W4309197259 hasConceptScore W4309197259C89623803 @default.
- W4309197259 hasConceptScore W4309197259C98045186 @default.
- W4309197259 hasLocation W43091972591 @default.
- W4309197259 hasOpenAccess W4309197259 @default.
- W4309197259 hasPrimaryLocation W43091972591 @default.
- W4309197259 hasRelatedWork W3017171836 @default.
- W4309197259 hasRelatedWork W3025176011 @default.
- W4309197259 hasRelatedWork W3027835066 @default.
- W4309197259 hasRelatedWork W3032320397 @default.
- W4309197259 hasRelatedWork W3033635008 @default.
- W4309197259 hasRelatedWork W3152606407 @default.
- W4309197259 hasRelatedWork W4200066927 @default.
- W4309197259 hasRelatedWork W4280491013 @default.
- W4309197259 hasRelatedWork W4308017287 @default.
- W4309197259 hasRelatedWork W3107152225 @default.
- W4309197259 isParatext "false" @default.
- W4309197259 isRetracted "false" @default.
- W4309197259 workType "book-chapter" @default.