{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T06:11:56Z","timestamp":1777011116721,"version":"3.51.4"},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3632200","type":"journal-article","created":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T18:42:46Z","timestamp":1762972966000},"page":"193462-193473","source":"Crossref","is-referenced-by-count":3,"title":["KSG-YOLO: Application of YOLO-Based Detection With Knowledge Distillation and Structured Pruning in Green Assembly Building Scenarios"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3612-2471","authenticated-orcid":false,"given":"Qingzhe","family":"Lin","sequence":"first","affiliation":[{"name":"School of Civil Engineering, Jilin University of Architecture and Technology, Changchun, Jilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9630-2722","authenticated-orcid":false,"given":"Xiantao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Jilin Engineering Normal University, Changchun, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/buildings15071190"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2025.106297"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/12.3061740"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-57433-z"},{"key":"ref5","first-page":"107984","article-title":"YOLOv10: Real-time end-to-end object detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1561\/116.20240058"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00919"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00460"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01563"},{"key":"ref11","article-title":"Pruning filters for efficient ConvNets","author":"Li","year":"2016","journal-title":"arXiv:1608.08710"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_38"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00160"},{"key":"ref15","article-title":"Rethinking the value of network pruning","author":"Liu","year":"2018","journal-title":"arXiv:1810.05270"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104499"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103482"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2023.105083"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10978-x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.2485"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00011"},{"key":"ref22","article-title":"Model compression methods for YOLOv5: A review","author":"Jani","year":"2023","journal-title":"arXiv:2307.11904"},{"key":"ref23","article-title":"YOLOv11: An overview of the key architectural enhancements","author":"Khanam","year":"2024","journal-title":"arXiv:2410.17725"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00075"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1911.08287"},{"key":"ref26","article-title":"Real-time flying object detection with YOLOv8","author":"Reis","year":"2023","journal-title":"arXiv:2305.09972"},{"key":"ref27","article-title":"GSO-YOLO: Global stability optimization YOLO for construction site detection","author":"Zhang","year":"2024","journal-title":"arXiv:2407.00906"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11242141.pdf?arnumber=11242141","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T06:08:09Z","timestamp":1763618889000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11242141\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3632200","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}