{"id":"https://openalex.org/W4410756861","doi":"https://doi.org/10.32604/cmc.2025.065251","title":"FSS-YOLO: The Lightweight Drill Pipe Detection Method Based on YOLOv8n-obb","display_name":"FSS-YOLO: The Lightweight Drill Pipe Detection Method Based on YOLOv8n-obb","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410756861","doi":"https://doi.org/10.32604/cmc.2025.065251"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.065251","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065251","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.065251","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114949187","display_name":"Mingyang Zhao","orcid":"https://orcid.org/0000-0001-6953-9731"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mingyang Zhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059513970","display_name":"Xiaojun Li","orcid":"https://orcid.org/0000-0002-7752-5337"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaojun Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710461","display_name":"Miao Li","orcid":"https://orcid.org/0000-0002-6205-814X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116381660","display_name":"Bangbang Mu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bangbang Mu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114949187"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8627,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7268307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"84","issue":"2","first_page":"2827","last_page":"2846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/drill","display_name":"Drill","score":0.5903165936470032},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.47479739785194397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4294648766517639},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3675198554992676},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33331161737442017},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.18874198198318481}],"concepts":[{"id":"https://openalex.org/C173736775","wikidata":"https://www.wikidata.org/wiki/Q58964","display_name":"Drill","level":2,"score":0.5903165936470032},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.47479739785194397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4294648766517639},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3675198554992676},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33331161737442017},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.18874198198318481}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.065251","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065251","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.065251","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065251","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W4224126255","https://openalex.org/W4286267372","https://openalex.org/W4386047745","https://openalex.org/W4387662600","https://openalex.org/W4388270273","https://openalex.org/W4388752296","https://openalex.org/W4391577695","https://openalex.org/W4392649854","https://openalex.org/W4395465766","https://openalex.org/W4400073289","https://openalex.org/W4401443016","https://openalex.org/W4401598973","https://openalex.org/W4402121033","https://openalex.org/W4402838847","https://openalex.org/W4402945604","https://openalex.org/W4405099145","https://openalex.org/W4405395275","https://openalex.org/W4405569410","https://openalex.org/W4405662409","https://openalex.org/W4405861241","https://openalex.org/W4405894271","https://openalex.org/W4408822271","https://openalex.org/W4409417244"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2390279801","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"The":[0,15,192],"control":[1],"of":[2,12,18,52,63,72,100,106,114,136,174,204,215,224],"gas":[3,13,19,43,64],"extraction":[4,20,148],"in":[5,44,139,206,210],"coal":[6,28],"mines":[7],"relies":[8],"on":[9,87,188,227],"the":[10,27,45,49,53,61,93,97,104,111,115,122,129,134,140,145,157,163,178,183,189,198,213,232,241],"effectiveness":[11,62],"extraction.":[14,65],"main":[16],"method":[17,85,90],"is":[21,57,79,126,186],"to":[22,41,60,102,128,132,155,171],"drive":[23],"drill":[24,46,54,73,82],"pipes":[25],"into":[26,96],"seam":[29],"through":[30],"a":[31,80],"drilling":[32],"rig":[33],"and":[34,69,109,117,143,208,219],"use":[35],"technologies":[36],"such":[37],"as":[38],"hydraulic":[39],"fracturing":[40],"pre-extract":[42],"holes.":[47],"Therefore,":[48],"real-time":[50],"detection":[51,84,158,164,234],"pipe":[55,83],"status":[56],"closely":[58],"related":[59],"To":[66],"achieve":[67],"fast":[68],"accurate":[70],"identification":[71],"pipes,":[74],"we":[75],"propose":[76],"FSS-YOLO,":[77],"which":[78],"lightweight":[81],"based":[86],"YOLOv8n-obb.":[88],"This":[89],"first":[91],"introduces":[92],"FasterBlock":[94],"module":[95,99],"C2f":[98],"YOLOv8n-obb":[101,243],"reduce":[103],"number":[105,214],"model":[107,116],"parameters":[108,216],"decrease":[110],"computational":[112],"cost":[113],"redundant":[118],"feature":[119,141,147],"maps.":[120],"Next,":[121],"SimAM":[123],"attention":[124],"mechanism":[125],"added":[127],"backbone":[130],"network":[131],"enhance":[133],"weight":[135],"important":[137],"features":[138,173],"map":[142],"improve":[144],"model\u2019s":[146,179],"capability.":[149],"In":[150],"addition,":[151],"using":[152],"shared":[153],"convolution":[154],"optimize":[156],"head,":[159],"not":[160],"only":[161],"lightens":[162],"head":[165],"but":[166],"also":[167],"enhances":[168],"its":[169],"ability":[170],"learn":[172],"different":[175,237],"scales,":[176],"improving":[177],"generalization":[180],"ability.":[181],"Finally,":[182],"FSS-YOLO":[184,201],"algorithm":[185,244],"validated":[187],"self-built":[190],"dataset.":[191],"results":[193,235],"show":[194],"that":[195,240],"compared":[196],"with":[197],"original":[199],"algorithm,":[200],"achieves":[202,220],"improvements":[203],"5.1%":[205],"mAP50":[207],"11.5%":[209],"Recall,":[211],"reduces":[212],"by":[217],"45.8%,":[218],"an":[221],"inference":[222],"speed":[223],"27.8":[225],"ms/frame":[226],"Jetson":[228],"Orin":[229],"NX.":[230],"Additionally,":[231],"visual":[233],"for":[236],"scenarios":[238],"demonstrate":[239],"improved":[242],"has":[245],"promising":[246],"application":[247],"prospects.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
