{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T05:26:40Z","timestamp":1741325200006,"version":"3.38.0"},"reference-count":40,"publisher":"Tech Science Press","issue":"3","license":[{"start":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T00:00:00Z","timestamp":1726358400000},"content-version":"vor","delay-in-days":258,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.055403","type":"journal-article","created":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T08:57:03Z","timestamp":1725440223000},"page":"4859-4874","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Infrared Fault Detection Method for Dense Electrolytic Bath Polar Plate Based on YOLOv5s"],"prefix":"10.32604","volume":"80","author":[{"given":"Huiling","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanqiu","family":"Hang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shen","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangning","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yizhuo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"103545","DOI":"10.1016\/j.infrared.2020.103545","article-title":"Aerial infrared target tracking in severe jamming using skeletal tracking technology","volume":"113","author":"Hu","year":"2021","journal-title":"Infrared Phys. Technol."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.comcom.2020.03.013","article-title":"The intelligent vehicle target recognition algorithm based on target infrared features combined with lidar","volume":"155","author":"Zhang","year":"2020","journal-title":"Comput. Commun."},{"key":"ref3","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1007\/s10694-020-00964-4","article-title":"Intelligent fire monitor for fire robot based on infrared image feedback control","volume":"56","author":"Zhu","year":"2020","journal-title":"Fire Technol."},{"key":"ref4","doi-asserted-by":"crossref","first-page":"2496","DOI":"10.1016\/j.procs.2020.03.302","article-title":"Review on recent development in infrared small target detection algorithms","volume":"167","author":"Rawat","year":"2020","journal-title":"Proc. Comput. Sci."},{"key":"ref5","doi-asserted-by":"crossref","first-page":"103754","DOI":"10.1016\/j.infrared.2021.103754","article-title":"Infrared machine vision and infrared thermography with deep learning: A review","volume":"116","author":"He","year":"2021","journal-title":"Infrared Phys. Technol."},{"key":"ref6","first-page":"1","article-title":"Infrared ship-target recognition based on SVM classification","volume":"45","author":"Zhang","year":"2016","journal-title":"Infrared Laser Eng."},{"key":"ref7","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"14454","article-title":"Sparse R-CNN: End-to-end object detection with learnable proposals","author":"Sun","year":"Jun. 2021"},{"key":"ref8","series-title":"2016 IEEE Conf. on Comput. Vis. and Pattern Recognit.","first-page":"779","article-title":"You only look once: Unified, Real-time object detection","author":"Redmon","year":"2016"},{"key":"ref9","series-title":"IEEE Conf. on Comput. Vis. & Pattern Recognit.","first-page":"6517","article-title":"YOLO9000: Better, faster, stronger","author":"Redmon","year":"2017"},{"key":"ref10","unstructured":"J. Redmon and A. Farhadi, \u201cYOLOv3: An incremental improvement,\u201d 2018, arXiv:1804.02767."},{"key":"ref11","series-title":"IEEE\/ CVF Conf. on Comput. Vis. and Pattern Recognit.","first-page":"13029","article-title":"Scaled-YOLOv4: Scaling cross stage partial network","author":"Wang","year":"2021"},{"key":"ref12","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW)","first-page":"390","article-title":"CSPNet: A new backbone that can enhance learning capability of CNN","author":"Wang","year":"Jun. 2020"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","article-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","volume":"37","author":"He","year":"2015","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref14","unstructured":"C. Li et al., \u201cYOLOv6: A single-stage object detection framework for industrial applications,\u201d Sep. 07, 2022, arXiv:2209.02976."},{"key":"ref15","series-title":"Proc. of the IEEE\/ CVF Conf. on Comput. Vis. and Pattern Recognit.","first-page":"7464","article-title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","author":"Wang","year":"2023"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"3885","DOI":"10.3390\/s24123885","article-title":"Infrared dim small target detection networks: A review","volume":"24","author":"Cheng","year":"2024","journal-title":"Sensors"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"265","DOI":"10.3901\/CJME.2009.02.265","article-title":"Seam tracking technology for hyperbaric underwater welding","volume":"22","author":"Jiao","year":"2009","journal-title":"Chin. J. Mech. Eng. (CJME)"},{"key":"ref18","first-page":"81","article-title":"Improved YOLOv3 target detection based on boundary limit point features","volume":"43","author":"Li","year":"2023","journal-title":"J. Comput. Appl."},{"key":"ref19","series-title":"Proc. of the IEEE\/ CVF Conf. on Comput. Vis. and Pattern Recognit.","first-page":"658","article-title":"Generalized intersection over union: A metric and a loss for bounding box","author":"Hamid","year":"2019"},{"key":"ref20","first-page":"12993","article-title":"Distance-IoU loss: Faster and better learning for bounding box regression","volume":"34","author":"Zheng","year":"2020","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"ref21","doi-asserted-by":"crossref","first-page":"8574","DOI":"10.1109\/TCYB.2021.3095305","article-title":"Enhancing geometric factors in model learning and inference for object detection and instance segmentation","volume":"52","author":"Zheng","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"ref22","first-page":"2999","article-title":"Focal loss for dense object detectin","volume":"2017","author":"Lin","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref23","first-page":"687","author":"Zhao","year":"2023","journal-title":"Advances in Machinery, Materials Science and Engineering Application IX"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"4600","DOI":"10.3390\/s22124600","article-title":"YOLO-SASE: An improved YOLO algorithm for the small targets detection in complex backgrounds","volume":"22","author":"Zhou","year":"2022","journal-title":"Sensors"},{"key":"ref25","series-title":"Proc. of the Eur. Conf. on Comput. Vis. (ECCV)","first-page":"385","article-title":"Receptive field block net for accurate and fast object detection","author":"Liu","year":"2018"},{"key":"ref26","series-title":"Proc. of the IEEE Conf. on Comput. Vis. and Pattern Recognit.","first-page":"4681","article-title":"Photo-realistic single image super-resolution using a generative adversarial network","author":"Ledig","year":"2017"},{"key":"ref27","series-title":"Proc. of the Eur. Conf. on Comput. Vis. (ECCV) Workshops","article-title":"ESRGAN: Enhanced super-resolution generative adversarial networks","author":"Wang","year":"2018"},{"key":"ref28","series-title":"2022 37th Youth Acad. Annu. Conf. of Chin. Assoc. of Automat. (YAC)","first-page":"1384","article-title":"Billet number recognition based on ESRGAN and improved YOLOv5","author":"Wang","year":"2022"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/978-1-4842-6168-2_11","author":"Koonce","year":"2021","journal-title":"Convolutional Neural Networks with Swift for Tensorflow"},{"key":"ref30","series-title":"IEEE\/ CVF Int. Conf. on Comput. Vis. Workshops","first-page":"1905","article-title":"Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data","author":"Wang","year":"2021"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"Comput. Sci."},{"key":"ref32","series-title":"Med. Image Comput. and Comput.-Assist. Intervent.\u2013MICCAI 2015: 18th Int. Conf.","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"Ronneberger","year":"2015"},{"key":"ref33","series-title":"Proc. of the 2024 7th Int. Conf. on Image and Graph. Process.","first-page":"39","article-title":"DCS-YOLOv8: An improved steel surface defect detection algorithm based on YOLOv8","author":"Yang","year":"2024"},{"key":"ref34","series-title":"Proc. of the IEEE Int. Conf. on Computer Vision","first-page":"764","article-title":"Deformable convolutional networks","author":"Dai","year":"2017"},{"key":"ref35","series-title":"Medical Image Comput. and Comput. Assist. Intervent.\u2013MICCAI 2018: 21st Int. Conf.","first-page":"421","article-title":"Concurrent spatial and channel \u2018squeeze & excitation\u2019 in fully convolutional networks","author":"Roy","year":"2018"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"1134942","DOI":"10.3389\/ffgc.2023.1134942","article-title":"A lightweight algorithm capable of accurately identifying forest fires from UAV remote sensing imagery","volume":"6","author":"Zheng","year":"2023","journal-title":"Front. For. Glob. Change"},{"key":"ref37","series-title":"Proc. of the IEEE\/CVF Conf. on Comput. Vis. and Pattern Recognit.","first-page":"1580","article-title":"GhostNet: More features from cheap operations","author":"Han","year":"2020"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"012025","DOI":"10.1088\/1742-6596\/2181\/1\/012025","article-title":"Marine ship detection and classification based on YOLOv5 model","volume":"2181","author":"Zhang","year":"2022","journal-title":"J. Phys. Conf. Ser."},{"key":"ref39","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1007\/s11554-022-01241-z","article-title":"DDH-YOLOv5: Improved YOLOv5 based on double IoU-aware decoupled head for object detection","volume":"19","author":"Wang","year":"2022","journal-title":"J. Real Time Image Process."},{"key":"ref40","series-title":"Int. Conf. on Mech. and Robot. (ICMAR 2022)","first-page":"1206","article-title":"Remote sensing image objects detection algorithm based on improved YOLOv5","volume":"2331","author":"Shi","year":"2022"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-80-3\/TSP_CMC_55403\/TSP_CMC_55403.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T01:47:56Z","timestamp":1741312076000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v80n3\/57920"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":40,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.055403","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-06-26","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-08-19","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-09-12","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}