Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379620105> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4379620105 abstract "Traditional fire-detection systems may be replaced in future smart cities with vision-based systems that use developing technologies and deep learning to build fire safety in society. It was our goal to build an early warning system for fires that can detect even the tiniest of sparks and sound an alert. An Improved Convolutional Neural Network (ICNN)along with LGBM Classifier was used for detecting fire areas. The reliability of model with fire area forecasts was first tested using the CNN technique. Unfortunately, this strategy of detecting fire incidents failed to provide the expected results in several studies. The classic model was upgraded by adding LGBM in final layer and expanding the amount of training data dataset using data augmentation methods for real-time fire catastrophe monitoring. When used under a variety of weather conditions, the suggested technique effectively recognized and alerted the public to the occurrence of devastating fires by altering the network structure via automated color enhancement and parameter reductions, among other things. In tests, the suggested technology proved to be effective in protecting smart cities and detecting fires in the urban environment. Finally, we tested the classification results produced by our system against those of previously published fire-detection methods that used commonly used performance matrices." @default.
- W4379620105 created "2023-06-08" @default.
- W4379620105 creator A5018116033 @default.
- W4379620105 creator A5045471849 @default.
- W4379620105 creator A5058165562 @default.
- W4379620105 creator A5061660160 @default.
- W4379620105 creator A5071709264 @default.
- W4379620105 date "2023-04-06" @default.
- W4379620105 modified "2023-09-25" @default.
- W4379620105 title "A Real-time Fire recognition technique using a Improved Convolutional Neural Network Method" @default.
- W4379620105 cites W2807862495 @default.
- W4379620105 cites W2884367402 @default.
- W4379620105 cites W2936299508 @default.
- W4379620105 cites W2972580382 @default.
- W4379620105 cites W3021297918 @default.
- W4379620105 cites W3025050498 @default.
- W4379620105 cites W3029201656 @default.
- W4379620105 cites W3132455321 @default.
- W4379620105 cites W3132905090 @default.
- W4379620105 cites W3166150996 @default.
- W4379620105 cites W3198090248 @default.
- W4379620105 cites W3202825385 @default.
- W4379620105 cites W4220799601 @default.
- W4379620105 cites W4224064350 @default.
- W4379620105 doi "https://doi.org/10.1109/iconstem56934.2023.10142663" @default.
- W4379620105 hasPublicationYear "2023" @default.
- W4379620105 type Work @default.
- W4379620105 citedByCount "0" @default.
- W4379620105 crossrefType "proceedings-article" @default.
- W4379620105 hasAuthorship W4379620105A5018116033 @default.
- W4379620105 hasAuthorship W4379620105A5045471849 @default.
- W4379620105 hasAuthorship W4379620105A5058165562 @default.
- W4379620105 hasAuthorship W4379620105A5061660160 @default.
- W4379620105 hasAuthorship W4379620105A5071709264 @default.
- W4379620105 hasConcept C108583219 @default.
- W4379620105 hasConcept C119857082 @default.
- W4379620105 hasConcept C121332964 @default.
- W4379620105 hasConcept C127413603 @default.
- W4379620105 hasConcept C136197465 @default.
- W4379620105 hasConcept C154945302 @default.
- W4379620105 hasConcept C163258240 @default.
- W4379620105 hasConcept C170154142 @default.
- W4379620105 hasConcept C2780836893 @default.
- W4379620105 hasConcept C29825287 @default.
- W4379620105 hasConcept C41008148 @default.
- W4379620105 hasConcept C43214815 @default.
- W4379620105 hasConcept C50644808 @default.
- W4379620105 hasConcept C62520636 @default.
- W4379620105 hasConcept C76155785 @default.
- W4379620105 hasConcept C79403827 @default.
- W4379620105 hasConcept C81363708 @default.
- W4379620105 hasConcept C95623464 @default.
- W4379620105 hasConceptScore W4379620105C108583219 @default.
- W4379620105 hasConceptScore W4379620105C119857082 @default.
- W4379620105 hasConceptScore W4379620105C121332964 @default.
- W4379620105 hasConceptScore W4379620105C127413603 @default.
- W4379620105 hasConceptScore W4379620105C136197465 @default.
- W4379620105 hasConceptScore W4379620105C154945302 @default.
- W4379620105 hasConceptScore W4379620105C163258240 @default.
- W4379620105 hasConceptScore W4379620105C170154142 @default.
- W4379620105 hasConceptScore W4379620105C2780836893 @default.
- W4379620105 hasConceptScore W4379620105C29825287 @default.
- W4379620105 hasConceptScore W4379620105C41008148 @default.
- W4379620105 hasConceptScore W4379620105C43214815 @default.
- W4379620105 hasConceptScore W4379620105C50644808 @default.
- W4379620105 hasConceptScore W4379620105C62520636 @default.
- W4379620105 hasConceptScore W4379620105C76155785 @default.
- W4379620105 hasConceptScore W4379620105C79403827 @default.
- W4379620105 hasConceptScore W4379620105C81363708 @default.
- W4379620105 hasConceptScore W4379620105C95623464 @default.
- W4379620105 hasLocation W43796201051 @default.
- W4379620105 hasOpenAccess W4379620105 @default.
- W4379620105 hasPrimaryLocation W43796201051 @default.
- W4379620105 hasRelatedWork W2337926734 @default.
- W4379620105 hasRelatedWork W2986507176 @default.
- W4379620105 hasRelatedWork W3158264953 @default.
- W4379620105 hasRelatedWork W4293087779 @default.
- W4379620105 hasRelatedWork W4310989423 @default.
- W4379620105 hasRelatedWork W4311257506 @default.
- W4379620105 hasRelatedWork W4320802194 @default.
- W4379620105 hasRelatedWork W4321369474 @default.
- W4379620105 hasRelatedWork W4366224123 @default.
- W4379620105 hasRelatedWork W564581980 @default.
- W4379620105 isParatext "false" @default.
- W4379620105 isRetracted "false" @default.
- W4379620105 workType "article" @default.