Genetic algorithm for hyperparameter optimization.
<p>Genetic algorithm for hyperparameter optimization.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
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| _version_ | 1852020934062374912 |
|---|---|
| author | Md. Shafak Shahriar Sozol (21212880) |
| author2 | M. Rubaiyat Hossain Mondal (8415447) Achmad Husni Thamrin (21212883) |
| author2_role | author author |
| author_facet | Md. Shafak Shahriar Sozol (21212880) M. Rubaiyat Hossain Mondal (8415447) Achmad Husni Thamrin (21212883) |
| author_role | author |
| dc.creator.none.fl_str_mv | Md. Shafak Shahriar Sozol (21212880) M. Rubaiyat Hossain Mondal (8415447) Achmad Husni Thamrin (21212883) |
| dc.date.none.fl_str_mv | 2025-04-29T17:47:25Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0322052.g002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Genetic_algorithm_for_hyperparameter_optimization_/28895760 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified including faster r href =" mailto existing deep learning traditional detection techniques provide visual explanations proposed model achieved slow response time div >< p actual fire hazards smoke detection based research combined yolov5 smoke detection model predictions model optimized use smoke time monitoring testing samples study aimed smoke images provide real prospective scenarios optimized yolov5 indoor settings indoor fire improved accuracy genetic algorithm future developments fire progression false positives ensuring safety ensuring interpretability dynamic nature cam technique art models also used 1 %, 000 images |
| dc.title.none.fl_str_mv | Genetic algorithm for hyperparameter optimization. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Genetic algorithm for hyperparameter optimization.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_3cd228bd17d511fb1a06cd09fc20ae4a |
| identifier_str_mv | 10.1371/journal.pone.0322052.g002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28895760 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Genetic algorithm for hyperparameter optimization.Md. Shafak Shahriar Sozol (21212880)M. Rubaiyat Hossain Mondal (8415447)Achmad Husni Thamrin (21212883)MedicineSpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedincluding faster rhref =" mailtoexisting deep learningtraditional detection techniquesprovide visual explanationsproposed model achievedslow response timediv >< pactual fire hazardssmoke detection basedresearch combined yolov5smoke detectionmodel predictionsmodel optimizeduse smoketime monitoringtesting samplesstudy aimedsmoke imagesprovide realprospective scenariosoptimized yolov5indoor settingsindoor fireimproved accuracygenetic algorithmfuture developmentsfire progressionfalse positivesensuring safetyensuring interpretabilitydynamic naturecam techniqueart modelsalso used1 %,000 images<p>Genetic algorithm for hyperparameter optimization.</p>2025-04-29T17:47:25ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0322052.g002https://figshare.com/articles/figure/Genetic_algorithm_for_hyperparameter_optimization_/28895760CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/288957602025-04-29T17:47:25Z |
| spellingShingle | Genetic algorithm for hyperparameter optimization. Md. Shafak Shahriar Sozol (21212880) Medicine Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified including faster r href =" mailto existing deep learning traditional detection techniques provide visual explanations proposed model achieved slow response time div >< p actual fire hazards smoke detection based research combined yolov5 smoke detection model predictions model optimized use smoke time monitoring testing samples study aimed smoke images provide real prospective scenarios optimized yolov5 indoor settings indoor fire improved accuracy genetic algorithm future developments fire progression false positives ensuring safety ensuring interpretability dynamic nature cam technique art models also used 1 %, 000 images |
| status_str | publishedVersion |
| title | Genetic algorithm for hyperparameter optimization. |
| title_full | Genetic algorithm for hyperparameter optimization. |
| title_fullStr | Genetic algorithm for hyperparameter optimization. |
| title_full_unstemmed | Genetic algorithm for hyperparameter optimization. |
| title_short | Genetic algorithm for hyperparameter optimization. |
| title_sort | Genetic algorithm for hyperparameter optimization. |
| topic | Medicine Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified including faster r href =" mailto existing deep learning traditional detection techniques provide visual explanations proposed model achieved slow response time div >< p actual fire hazards smoke detection based research combined yolov5 smoke detection model predictions model optimized use smoke time monitoring testing samples study aimed smoke images provide real prospective scenarios optimized yolov5 indoor settings indoor fire improved accuracy genetic algorithm future developments fire progression false positives ensuring safety ensuring interpretability dynamic nature cam technique art models also used 1 %, 000 images |