{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T09:18:48Z","timestamp":1737105528541,"version":"3.33.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825579","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"8754-8756","source":"Crossref","is-referenced-by-count":0,"title":["Firefighting: Applying Deep Learning Algorithms for Real-time Fire Detection"],"prefix":"10.1109","author":[{"given":"Aaron","family":"Linder","sequence":"first","affiliation":[{"name":"Winston-Salem State University,Department of Computer Science,Winston-Salem,NC,USA"}]},{"given":"Debzani","family":"Deb","sequence":"additional","affiliation":[{"name":"Winston-Salem State University,Department of Computer Science,Winston-Salem,NC,USA"}]}],"member":"263","reference":[{"volume-title":"Wikipedia: List of wild\u2000fires | Wikipedia, the free encyclopedia","key":"ref1"},{"volume-title":"National Interagency Fire Center (NIFC)","key":"ref2"},{"volume-title":"NASA Fire Information for Resource Management System (FIRMS)","key":"ref3"},{"volume-title":"Satellites Limitations in Early Wildfire Detection","key":"ref4"},{"volume-title":"Fire Monitoring, Mapping, and Modeling (Fire M3), Natural Resources Canada","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1029\/2023jd039085"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI50040.2020.00179"},{"volume-title":"NVIDIA Jetson","key":"ref8"},{"volume-title":"Raspberry Pi 5","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-4818-5_2"},{"article-title":"E\u2000cientnet: Rethinking model scaling for convolutional neural networks","year":"2019","author":"Tan","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3"},{"key":"ref13","first-page":"1097","article-title":"Imagenet classi\u2000cation with deep con-volutional neural networks","author":"Krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems."},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SoutheastCon42311.2019.9020478"},{"article-title":"ONFIRE 2023","volume-title":"ONFIRE Contest","year":"2023","key":"ref18"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2024,12,15]]},"location":"Washington, DC, USA","end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825579.pdf?arnumber=10825579","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T08:29:37Z","timestamp":1737102577000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825579\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825579","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}