{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:34:14Z","timestamp":1772303654496,"version":"3.50.1"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,26]]},"DOI":"10.1109\/iotaai62601.2024.10692802","type":"proceedings-article","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T18:15:36Z","timestamp":1727892936000},"page":"24-27","source":"Crossref","is-referenced-by-count":5,"title":["MLCA-YOLO: improved yolov8 for solar cell defect detection"],"prefix":"10.1109","author":[{"given":"Zihan","family":"Zhang","sequence":"first","affiliation":[{"name":"Guangdong Polytechnic Normal University,School of Automation,Guangzhou,China"}]},{"given":"Shan","family":"Liu","sequence":"additional","affiliation":[{"name":"Guangdong Polytechnic Normal University,School of Automation,Guangzhou,China"}]},{"given":"Jianbin","family":"Xiong","sequence":"additional","affiliation":[{"name":"Guangdong Polytechnic Normal University,School of Automation,Guangzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/2050-7038.12456"},{"issue":"24","key":"ref2","first-page":"11960","article-title":"Fabric defect detection systems and methods\u2014A systematic literature review","volume-title":"Optik","volume":"127","author":"Hanbay","year":"2016"},{"issue":"16","key":"ref3","first-page":"7657","article-title":"Surface defect detection methods for industrial products: A review","volume-title":"Applied Sciences","volume":"11","author":"Chen","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/icepe.2016.7781456"},{"key":"ref5","first-page":"108073","article-title":"Surface defect detection of solar cells based on Fourier single-pixel imaging for removal of substrates interference","volume-title":"Optics and Lasers in Engineering","volume":"176","author":"Ma","year":"2024"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tla.2023.10015216"},{"key":"ref7","first-page":"103334","article-title":"Detection of surface defects on solar cells by fusing Multi-channel convolution neural networks","volume-title":"Infrared Physics & Technology","volume":"108","author":"Zhang","year":"2020"},{"issue":"5","key":"ref8","first-page":"2583","article-title":"Surface defect detection of solar cell based on similarity non-maximum suppression mechanism","volume-title":"Signal, Image and Video Processing","volume":"17","author":"Wang","year":"2023"},{"key":"ref9","first-page":"3601","article-title":"Improved Yolov5 Algorithm for Surface Defect Detection of Solar Cell","volume-title":"2023 35th Chinese Control and Decision Conference (CCDC), 20-22 May 2023","author":"Li"},{"issue":"8","key":"ref10","article-title":"Solar panel defect detection design based on YOLO v5 algorithm","volume-title":"Heliyon","volume":"9","author":"Huang","year":"2023"},{"issue":"7","key":"ref11","first-page":"677","article-title":"YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection","volume-title":"Machines","volume":"11","author":"Hussain","year":"2023"},{"issue":"11","key":"ref12","first-page":"4467","article-title":"WTBD-YOLOv8: An Improved Method for Wind Turbine Generator Defect Detection","volume":"16","author":"Tong","year":"2024"},{"issue":"01","key":"ref13","first-page":"42","article-title":"Solar Cells EL Image Defect Detection and Classification Based on Improved YOLOv5","volume-title":"Video Engineering","volume":"48","author":"Zhang","year":"2024"},{"key":"ref14","first-page":"21","article-title":"Ssd: Single shot multibox detector","volume-title":"Computer Vision\u2013 ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part I 14","author":"Liu"},{"key":"ref15","first-page":"42","article-title":"Face detection using deep learning: An improved faster RCNN approach","volume-title":"Neurocomputing","volume":"299","author":"Sun","year":"2018"}],"event":{"name":"2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI)","location":"Guangzhou, China","start":{"date-parts":[[2024,7,26]]},"end":{"date-parts":[[2024,7,28]]}},"container-title":["2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10691949\/10692319\/10692802.pdf?arnumber=10692802","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T05:39:38Z","timestamp":1727933978000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10692802\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,26]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/iotaai62601.2024.10692802","relation":{},"subject":[],"published":{"date-parts":[[2024,7,26]]}}}