{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:05:41Z","timestamp":1763345141881,"version":"3.45.0"},"reference-count":43,"publisher":"Tech Science Press","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.067382","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T07:42:29Z","timestamp":1754379749000},"page":"1917-1936","source":"Crossref","is-referenced-by-count":0,"title":["A Method for Small Target Detection and Counting of the End of Drill Pipes Based on the Improved YOLO11n"],"prefix":"10.32604","volume":"85","author":[{"given":"Miao","family":"Li","sequence":"first","affiliation":[]},{"given":"Xiaojun","family":"Li","sequence":"additional","affiliation":[]},{"given":"Mingyang","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"128650","DOI":"10.1016\/j.fuel.2023.128650","article-title":"Coal mine gas migration model establishment and gas extraction technology field application research","volume":"349","author":"Zhou","year":"2023","journal-title":"Fuel"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"129654","DOI":"10.1016\/j.energy.2023.129654","article-title":"Enhancing coal-gangue object detection using GAN-based data augmentation strategy with dual attention mechanism","volume":"287","author":"Zhang","year":"2024","journal-title":"Energy"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1007\/s40789-022-00491-3","article-title":"Research and practice of intelligent coal mine technology systems in China","volume":"9","author":"Wang","year":"2022","journal-title":"Int J Coal Sci Technol"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1007\/s11554-024-01539-0","article-title":"Slim-YOLO-PR_KD: an efficient pose-varied object detection method for underground coal mine","volume":"21","author":"Mu","year":"2024","journal-title":"J Real-Time Image Process"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"115514","DOI":"10.1016\/j.measurement.2024.115514","article-title":"Vision-based obstacle detection in dangerous region of coal mine driverless rail electric locomotives","volume":"239","author":"Yang","year":"2025","journal-title":"Measurement"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"110790","DOI":"10.1016\/j.engfracmech.2024.110790","article-title":"Damage characteristics and YOLO automated crack detection of fissured rock masses under true-triaxial mining unloading conditions","volume":"314","author":"Li","year":"2025","journal-title":"Eng Fract Mech"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"129080","DOI":"10.1016\/j.neucom.2024.129080","article-title":"Integrating real-time pose estimation and PPE detection with cutting-edge deep learning for enhanced safety and rescue operations in the mining industry","volume":"618","author":"Imam","year":"2025","journal-title":"Neurocomputing"},{"key":"ref8","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition; 2016 Jun 27\u201330","first-page":"779","article-title":"You only look once: unified, real-time object detection","author":"Redmon"},{"key":"ref9","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition; 2017 Jul 21\u201326","first-page":"7263","article-title":"YOLO9000: better, faster, stronger","author":"Redmon"},{"key":"ref10","unstructured":"Redmon J, Farhadi A. Yolov3: an incremental improvement. arXiv:1804.02767. 2018."},{"key":"ref11","doi-asserted-by":"crossref","first-page":"170","DOI":"10.3390\/s25010170","article-title":"Research on mine-personnel helmet detection based on multi-strategy-improved YOLOv11","volume":"25","author":"Zhang","year":"2024","journal-title":"Sensors"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1007\/s11554-024-01604-8","article-title":"Real-time detection of coal mine safety helmet based on improved YOLOv8","volume":"22","author":"Li","year":"2025","journal-title":"J Real-Time Image Process"},{"key":"ref13","first-page":"199","article-title":"Coal mine conveyor belt foreign object detection based on feature enhancement and transformer","volume":"52","author":"Gao","year":"2024","journal-title":"Coal Sci Technol"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1080\/19392699.2024.2346626","article-title":"GDPs-YOLO: an improved YOLOv8s for coal gangue detection","volume":"45","author":"Wang","year":"2025","journal-title":"Int J Coal Prep Util"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"116624","DOI":"10.1016\/j.measurement.2024.116624","article-title":"Research on mine personnel target detection method based on improved YOLOv8","volume":"245","author":"Jin","year":"2025","journal-title":"Measurement"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1007\/s11554-023-01407-3","article-title":"Rep-YOLO: an efficient detection method for mine personnel","volume":"21","author":"Shao","year":"2024","journal-title":"J Real-Time Image Process"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"015410","DOI":"10.1088\/1361-6501\/ad060e","article-title":"Research on real-time perception method of key targets in the comprehensive excavation working face of coal mine","volume":"35","author":"Zhao","year":"2023","journal-title":"Meas Sci Technol"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.undsp.2024.07.003","article-title":"Coal-rock interface real-time recognition based on the improved YOLO detection and bilateral segmentation network","volume":"21","author":"Xu","year":"2025","journal-title":"Undergr Space"},{"key":"ref19","first-page":"1","article-title":"Localization and mapping method of unmanned mine trucks on underground inclined slopes based on laser SLAM","author":"Gu","year":"2024","journal-title":"Coal Sci Technol"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"114602","DOI":"10.1016\/j.eswa.2021.114602","article-title":"A survey and performance evaluation of deep learning methods for small object detection","volume":"172","author":"Liu","year":"2021","journal-title":"Expert Syst Appl"},{"key":"ref21","first-page":"2967","article-title":"Small object detection based on two-stage calculation transformer","volume":"17","author":"Xu","year":"2023","journal-title":"J Front Comput Sci Technol"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.neucom.2023.01.055","article-title":"DKTNet: dual-key transformer network for small object detection","volume":"525","author":"Xu","year":"2023","journal-title":"Neurocomputing"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2024.3510781","article-title":"FFCA-YOLO for small object detection in remote sensing images","volume":"62","author":"Zhang","year":"2024","journal-title":"IEEE Trans Geosci Remote Sens"},{"article-title":"HIC-YOLOv5: improved YOLOv5 for small object detection","series-title":"2024 IEEE International Conference on Robotics and Automation (ICRA); 2024 May 13\u201317","author":"Tang","key":"ref24"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1016\/j.aej.2024.10.114","article-title":"Intelligent monitoring of small target detection using YOLOv8","volume":"112","author":"Sun","year":"2025","journal-title":"Alex Eng J"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"122669","DOI":"10.1016\/j.eswa.2023.122669","article-title":"DsP-YOLO: an anchor-free network with DsPAN for small object detection of multiscale defects","volume":"241","author":"Zhang","year":"2024","journal-title":"Expert Syst Appl"},{"key":"ref27","first-page":"32","article-title":"Research on underground drill pipe counting method based on improved ResNet network","volume":"46","author":"Gao","year":"2020","journal-title":"Ind Mine Autom"},{"key":"ref28","first-page":"155","article-title":"Improved YOLOv8 method for counting drill rods in low-light images in coal mines","volume":"48","author":"Ran","year":"2025","journal-title":"Electron Meas Technol"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"16779","DOI":"10.1038\/s41598-025-01776-8","article-title":"Drill pipe detection and counting based on improved YOLOv11 and Savitzky-Golay","volume":"15","author":"Cheng","year":"2025","journal-title":"Sci Rep"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"10240","DOI":"10.3390\/app131810240","article-title":"Research on automatic counting of drill pipes for underground gas drainage in coal mines based on YOLOv7-GFCA model","volume":"13","author":"Chen","year":"2023","journal-title":"Appl Sci"},{"key":"ref31","first-page":"112","article-title":"A coal mine underground drill pipes counting method based on improved YOLOv8n","volume":"50","author":"Jiang","year":"2024","journal-title":"J Mine Autom"},{"key":"ref32","first-page":"90","article-title":"Drill pipe counting method based on improved spatial-temporal graph convolution neural network","volume":"49","author":"Du","year":"2023","journal-title":"J Mine Autom"},{"article-title":"Poly kernel inception network for remote sensing detection","series-title":"2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition; 2024 Jun 16\u201322","author":"Cai","key":"ref33"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"3076","DOI":"10.3390\/electronics13153076","article-title":"StarCAN-PFD: an efficient and simplified multi-scale feature detection network for small objects in complex scenarios","volume":"13","author":"Chai","year":"2024","journal-title":"Electronics"},{"key":"ref35","series-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases; 2022 Sep 19\u201323","article-title":"No more strided convolutions or pooling: a new CNN building block for low-resolution images and small objects","author":"Sunkara","year":"2022"},{"key":"ref36","first-page":"1426","article-title":"Omni-kernel network for image restoration","volume":"38","author":"Cui","year":"2024","journal-title":"Proc AAAI Conf Artif Intell"},{"article-title":"CSPNet: a new backbone that can enhance learning capability of CNN","series-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); 2020 Jun 14\u201319","author":"Wang","key":"ref37"},{"key":"ref38","first-page":"12993","article-title":"Distance-IoU loss: faster and better learning for bounding box regression","volume":"34","author":"Zhang","year":"2020","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.neunet.2023.11.041","article-title":"Powerful-IoU: more straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism","volume":"170","author":"Liu","year":"2024","journal-title":"Neural Netw"},{"key":"ref40","series-title":"European Conference on Computer Vision; 2024 Sep 29\u2013Oct 4","first-page":"1","article-title":"Yolov9: learning what you want to learn using programmable gradient information","author":"Wang","year":"2024"},{"article-title":"Yolov10: real-time end-to-end object detection","series-title":"38th Conference on Neural Information Processing Systems (NeurIPS 2024); 2024 Dec 10\u201315","author":"Wang","key":"ref41"},{"key":"ref42","unstructured":"Tian Y, Ye Q, Doermann D. YOLOv12: attention-centric real-time object detectors. arXiv:2502.12524. 2025. doi:10.48550\/arxiv.2502.12524."},{"key":"ref43","first-page":"8205","article-title":"Mamba YOLO: a simple baseline for object detection with state space model","volume":"39","author":"Wang","year":"2025","journal-title":"Proc AAAI Conf Artif Intell"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-85-1\/TSP_CMC_67382\/TSP_CMC_67382.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:02:18Z","timestamp":1763344938000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v85n1\/63565"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":43,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.067382","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}