Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893416624> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2893416624 abstract "In this paper, we propose a convolutional neural network based application method which shows superior performance in image classification. Recently, various requirements such as emotional UI, rather than the existing Touch UI method, have been presented in the mobile UI field, and a methodology for this is presented. First, it recognizes human facial expressions through Convolutional Neural Networks (CNN).Based on the second recognized facial expression, a multi-layer perceptron (MLP) Learning. This enables the application to be executed only by the user's face when the mobile application is restarted. In order to implement and experiment on this, we implemented and experimented with the Google inception model structure to enhance the performance of face recognition in the first CNN - based facial recognition step. In the second application classification step, We implemented a method using multidimensional data for recognition. As a result, CNN - based facial expression recognition achieved about 98% accuracy, and based on this, the application classification to be studied in this paper was able to obtain a maximum of 97.9% accuracy" @default.
- W2893416624 created "2018-10-05" @default.
- W2893416624 creator A5011607957 @default.
- W2893416624 creator A5029689323 @default.
- W2893416624 date "2018-08-22" @default.
- W2893416624 modified "2023-09-26" @default.
- W2893416624 title "Mobile App Classification Method Using Machine Learning Based User Emotion Recognition" @default.
- W2893416624 cites W1602126825 @default.
- W2893416624 cites W2056068852 @default.
- W2893416624 cites W2097117768 @default.
- W2893416624 cites W2103943262 @default.
- W2893416624 cites W2129150631 @default.
- W2893416624 cites W2911336608 @default.
- W2893416624 doi "https://doi.org/10.1145/3268891.3268909" @default.
- W2893416624 hasPublicationYear "2018" @default.
- W2893416624 type Work @default.
- W2893416624 sameAs 2893416624 @default.
- W2893416624 citedByCount "0" @default.
- W2893416624 crossrefType "proceedings-article" @default.
- W2893416624 hasAuthorship W2893416624A5011607957 @default.
- W2893416624 hasAuthorship W2893416624A5029689323 @default.
- W2893416624 hasConcept C108583219 @default.
- W2893416624 hasConcept C111919701 @default.
- W2893416624 hasConcept C144024400 @default.
- W2893416624 hasConcept C153180895 @default.
- W2893416624 hasConcept C154945302 @default.
- W2893416624 hasConcept C179717631 @default.
- W2893416624 hasConcept C186967261 @default.
- W2893416624 hasConcept C195704467 @default.
- W2893416624 hasConcept C202444582 @default.
- W2893416624 hasConcept C206310091 @default.
- W2893416624 hasConcept C2777438025 @default.
- W2893416624 hasConcept C2779304628 @default.
- W2893416624 hasConcept C28490314 @default.
- W2893416624 hasConcept C2987714656 @default.
- W2893416624 hasConcept C31510193 @default.
- W2893416624 hasConcept C33923547 @default.
- W2893416624 hasConcept C36289849 @default.
- W2893416624 hasConcept C41008148 @default.
- W2893416624 hasConcept C50644808 @default.
- W2893416624 hasConcept C52622490 @default.
- W2893416624 hasConcept C60908668 @default.
- W2893416624 hasConcept C81363708 @default.
- W2893416624 hasConcept C9652623 @default.
- W2893416624 hasConceptScore W2893416624C108583219 @default.
- W2893416624 hasConceptScore W2893416624C111919701 @default.
- W2893416624 hasConceptScore W2893416624C144024400 @default.
- W2893416624 hasConceptScore W2893416624C153180895 @default.
- W2893416624 hasConceptScore W2893416624C154945302 @default.
- W2893416624 hasConceptScore W2893416624C179717631 @default.
- W2893416624 hasConceptScore W2893416624C186967261 @default.
- W2893416624 hasConceptScore W2893416624C195704467 @default.
- W2893416624 hasConceptScore W2893416624C202444582 @default.
- W2893416624 hasConceptScore W2893416624C206310091 @default.
- W2893416624 hasConceptScore W2893416624C2777438025 @default.
- W2893416624 hasConceptScore W2893416624C2779304628 @default.
- W2893416624 hasConceptScore W2893416624C28490314 @default.
- W2893416624 hasConceptScore W2893416624C2987714656 @default.
- W2893416624 hasConceptScore W2893416624C31510193 @default.
- W2893416624 hasConceptScore W2893416624C33923547 @default.
- W2893416624 hasConceptScore W2893416624C36289849 @default.
- W2893416624 hasConceptScore W2893416624C41008148 @default.
- W2893416624 hasConceptScore W2893416624C50644808 @default.
- W2893416624 hasConceptScore W2893416624C52622490 @default.
- W2893416624 hasConceptScore W2893416624C60908668 @default.
- W2893416624 hasConceptScore W2893416624C81363708 @default.
- W2893416624 hasConceptScore W2893416624C9652623 @default.
- W2893416624 hasLocation W28934166241 @default.
- W2893416624 hasOpenAccess W2893416624 @default.
- W2893416624 hasPrimaryLocation W28934166241 @default.
- W2893416624 hasRelatedWork W2017517155 @default.
- W2893416624 hasRelatedWork W2166776077 @default.
- W2893416624 hasRelatedWork W2353697322 @default.
- W2893416624 hasRelatedWork W2732542196 @default.
- W2893416624 hasRelatedWork W2733060750 @default.
- W2893416624 hasRelatedWork W3000095492 @default.
- W2893416624 hasRelatedWork W3156786002 @default.
- W2893416624 hasRelatedWork W3210966752 @default.
- W2893416624 hasRelatedWork W4221160179 @default.
- W2893416624 hasRelatedWork W4312603404 @default.
- W2893416624 isParatext "false" @default.
- W2893416624 isRetracted "false" @default.
- W2893416624 magId "2893416624" @default.
- W2893416624 workType "article" @default.