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Mobile robot for fires detection development; 2023 [cited 2024 Sep 6]. 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[cited 2024 Sep 13]. Available from: https:\/\/ieeexplore.ieee.org\/abstract\/document\/5430942."},{"key":"ref25","doi-asserted-by":"crossref","first-page":"14104","DOI":"10.1038\/s41598-024-64934-4","article-title":"A lightweight fire detection algorithm for small targets based on YOLOv5s","volume":"14","author":"Lv","year":"2024 Jun 19","journal-title":"Sci Rep"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"42","DOI":"10.46604\/aiti.2023.12682","article-title":"Efficient object detection and intelligent information display using YOLOv4-tiny","volume":"9","author":"Hsiao","year":"2024 Jan 1","journal-title":"Adv Technol Innov"},{"key":"ref27","unstructured":"CF-YOLO: a capable forest fire identification algorithm founded on YOLOv7 improvement | signal, image and video processing [Internet]. [cited 2024 Jul 30]. Available from: https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03288-w."},{"key":"ref28","doi-asserted-by":"crossref","unstructured":"Fire | Free Full-Text | CNTCB-YOLOv7: an effective forest fire detection model based on ConvNeXtV2 and CBAM [Internet]. [cited 2024 Jul 30]. Available from: https:\/\/www.mdpi.com\/2571-6255\/7\/2\/54.","DOI":"10.3390\/fire7020054"},{"key":"ref29","unstructured":"Alvarez Masdeu JA. Fractals in the propagation of forest fires and stochastic models. [Bachelor\u2019s thesis]. Barcelona: Universitat de Barcelona; 2023 Jun. Available from: https:\/\/hdl.handle.net\/2445\/200813."},{"key":"ref30","doi-asserted-by":"crossref","unstructured":"Akyon FC, Altinuc SO, Temizel A. aSlicing aided hyper inference and fine-tuning for small object detection. arXiv:2202.06934v5. 2022.","DOI":"10.1109\/ICIP46576.2022.9897990"},{"key":"ref31","unstructured":"Goodfellow IJ, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, et al. Generative adversarial networks. arXiv:1406.2661v1. 2014."},{"key":"ref32","unstructured":"DCGAN based data generation for process monitoring [Internet]. [cited 2024 Sep 13]. Available from: https:\/\/ieeexplore.ieee.org\/document\/8908922."},{"key":"ref33","doi-asserted-by":"crossref","unstructured":"Rombach R, Blattmann A, Lorenz D, Esser P, Ommer B. High-resolution image synthesis with latent diffusion models. arXiv:2112.10752. 2022.","DOI":"10.1109\/CVPR52688.2022.01042"}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-82-3\/TSP_CMC_61466\/TSP_CMC_61466.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T06:31:47Z","timestamp":1763101907000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v82n3\/59939"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":33,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.061466","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}