{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T06:19:06Z","timestamp":1762841946857,"version":"build-2065373602"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T00:00:00Z","timestamp":1760313600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T00:00:00Z","timestamp":1760313600000},"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":[[2025,10,13]]},"DOI":"10.1109\/ipta66025.2025.11222030","type":"proceedings-article","created":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T18:45:24Z","timestamp":1762800324000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Bayesian Optimization Based Deep Learning Models for Detection of Forest Fires"],"prefix":"10.1109","author":[{"given":"Baruch K. M.","family":"Shem","sequence":"first","affiliation":[{"name":"Eastern Mediterranean University,Electrical & Electronics Engineering Dept.,Famagusta,North Cyprus"}]},{"given":"Erhan A.","family":"\u0130nce","sequence":"additional","affiliation":[{"name":"Eastern Mediterranean University,Electrical & Electronics Engineering Dept.,Famagusta,North Cyprus"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2018.09.003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5120\/9381-3817"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4218\/etrij.10.0109.0695"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.23919\/ELECO47770.2019.8990608"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.34028\/iajit\/17\/6\/13"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.06.015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1333722"},{"issue":"6","key":"ref8","doi-asserted-by":"crossref","first-page":"860","DOI":"10.1016\/j.firesaf.2009.04.003","article-title":"Video based fire detection at night","volume":"44","author":"Ta\u015fdemir","year":"2009","journal-title":"J. of Fire Safety"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793196"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIICII.2016.0045"},{"journal-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1201\/9781420010749"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref15","first-page":"6105","article-title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","author":"Tan","journal-title":"Proc. of the 36th Int. Conf. on Machine Learning, ICML 2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/36.752194"},{"volume-title":"Kaggle Forest Fire Dataset","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2832629"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/sym14102155"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112975"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/s18030712"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.firesaf.2017.06.012"}],"event":{"name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools & Applications (IPTA)","start":{"date-parts":[[2025,10,13]]},"location":"Istanbul, Turkiye","end":{"date-parts":[[2025,10,16]]}},"container-title":["2025 Fourteenth International Conference on Image Processing, Theory, Tools & Applications (IPTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11221202\/11221998\/11222030.pdf?arnumber=11222030","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T06:14:54Z","timestamp":1762841694000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11222030\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,13]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ipta66025.2025.11222030","relation":{},"subject":[],"published":{"date-parts":[[2025,10,13]]}}}