{"id":"https://openalex.org/W4413277239","doi":"https://doi.org/10.1109/access.2025.3599686","title":"ACM-YOLOv10: Research on Classroom Learning Behavior Recognition Algorithm Based on Improved YOLOv10","display_name":"ACM-YOLOv10: Research on Classroom Learning Behavior Recognition Algorithm Based on Improved YOLOv10","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413277239","doi":"https://doi.org/10.1109/access.2025.3599686"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3599686","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3599686","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3599686","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113970831","display_name":"Beichen Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beichen Qin","raw_affiliation_strings":["School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0009-0794-4841","affiliations":[{"raw_affiliation_string":"School of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083497050","display_name":"Haoyan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]},{"id":"https://openalex.org/I4210164796","display_name":"Nanjing Polytechnic Institute","ror":"https://ror.org/05tt6m403","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164796"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyan Hu","raw_affiliation_strings":["Engineering Training Center, College of Applied Technology, Nanjing, Jiangsu, China","Engineering Training Center and School of Applied Technology, Nanjing Institute of Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Training Center, College of Applied Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I4210164796"]},{"raw_affiliation_string":"Engineering Training Center and School of Applied Technology, Nanjing Institute of Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101105014","display_name":"Shaowen Du","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowen Du","raw_affiliation_strings":["School of Traffic Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I2799736854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93220099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"144863","last_page":"144877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.7971000075340271,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.7971000075340271,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13647","display_name":"AI and Big Data Applications","score":0.7465000152587891,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.7343000173568726,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7720440030097961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3973787724971771},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3331645727157593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720440030097961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3973787724971771},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3331645727157593}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3599686","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3599686","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0278309d097d4cdeba586dfd0040cc4a","is_oa":true,"landing_page_url":"https://doaj.org/article/0278309d097d4cdeba586dfd0040cc4a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 144863-144877 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3599686","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3599686","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G4313197586","display_name":null,"funder_award_id":"2025GJZC65","funder_id":"https://openalex.org/F4320324885","funder_display_name":"Nanjing Institute of Technology"}],"funders":[{"id":"https://openalex.org/F4320324885","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2946417417","https://openalex.org/W2988553495","https://openalex.org/W2989676862","https://openalex.org/W3118639714","https://openalex.org/W3127073259","https://openalex.org/W4221123533","https://openalex.org/W4226178621","https://openalex.org/W4283217119","https://openalex.org/W4284712931","https://openalex.org/W4293248949","https://openalex.org/W4311185806","https://openalex.org/W4317207031","https://openalex.org/W4323361448","https://openalex.org/W4366287756","https://openalex.org/W4378882481","https://openalex.org/W4380149082","https://openalex.org/W4387259155","https://openalex.org/W4392567323","https://openalex.org/W4394717425","https://openalex.org/W4401053829","https://openalex.org/W4401514255","https://openalex.org/W4402054727","https://openalex.org/W4403123026","https://openalex.org/W4404212727","https://openalex.org/W4405039802","https://openalex.org/W4406211623","https://openalex.org/W4408659767"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"To":[0],"effectively":[1,139,184],"integrate":[2],"the":[3,21,37,78,100,105,116,122,141,158,173,177,192,206,219,228,238,256],"research":[4],"on":[5,218,250],"learning":[6,17],"engagement":[7],"with":[8,68,84],"teaching":[9,25],"practices":[10],"and":[11,14,47,61,95,107,118,134,190,195,236],"accurately":[12],"assess":[13],"analyze":[15],"students\u2019":[16],"behavior":[18,56,216],"participation":[19],"in":[20,54,115,154],"classroom":[22,55],"to":[23,76,91,126,144,182,227],"improve":[24],"quality,":[26],"this":[27],"paper":[28],"proposes":[29],"an":[30,69],"improved":[31,207,257],"YOLOv10":[32],"algorithm":[33,258],"model,":[34,230],"ACM-YOLOv10,":[35],"targeting":[36],"issues":[38],"of":[39,50,124,130,187,212],"insufficient":[40],"detection":[41,57,196,234],"precision,":[42],"missed":[43],"detection,":[44,46],"false":[45],"slow":[48],"speed":[49],"traditional":[51,79],"recognition":[52],"algorithms":[53],"under":[58],"multi-scale":[59,178],"scenarios":[60],"occluded":[62],"targets.":[63],"The":[64],"model":[65,209,259],"is":[66,113,170,222],"designed":[67],"Asymmetric":[70],"Depthwise":[71],"Separable":[72,165],"Convolution":[73,110],"(ADSConv)":[74],"module":[75,112,169],"replace":[77],"convolutional":[80],"layers.":[81],"This":[82],"module,":[83],"its":[85],"lightweight":[86],"design,":[87],"optimizes":[88],"convolution":[89],"operations":[90],"reduce":[92,127],"computational":[93],"complexity":[94],"parameter":[96],"quantity,":[97],"thereby":[98],"accelerating":[99],"model\u2019s":[101,142,193],"inference":[102],"speed.":[103],"Additionally,":[104,246],"Spatial":[106],"Channel":[108],"Reconstruction":[109],"(C2f_SCConv)":[111],"embedded":[114],"backbone":[117,174],"neck":[119],"networks,":[120],"combining":[121],"characteristics":[123],"SCConv":[125],"redundant":[128],"features":[129,186],"CNN":[131],"through":[132],"spatial":[133,160],"channel":[135],"reconstruction":[136],"units,":[137],"which":[138,221],"enhances":[140],"ability":[143],"learn":[145],"local":[146],"features,":[147],"particularly":[148],"suitable":[149],"for":[150,198,214,241],"fine-grained":[151],"feature":[152,179],"extraction":[153],"complex":[155],"backgrounds.":[156],"Finally,":[157],"redesigned":[159],"Pyramid":[161],"Pool":[162],"Fast":[163],"Learning":[164],"Kernel":[166],"Attention":[167],"(SPPF_LSKA)":[168],"introduced":[171],"into":[172],"network,":[175],"improving":[176],"fusion":[180],"method":[181],"more":[183],"handle":[185],"different":[188],"scales":[189],"enhancing":[191],"sensitivity":[194],"capability":[197],"minority":[199],"class":[200],"behaviors.":[201],"Experimental":[202],"results":[203],"demonstrate":[204],"that":[205,255],"ACM-YOLOv10":[208],"achieves":[210],"mAP":[211],"82.4%":[213],"six":[215],"categories":[217],"SCB-Dataset3,":[220],"a":[223],"5.3%":[224],"improvement":[225],"compared":[226],"baseline":[229],"outperforming":[231],"other":[232],"mainstream":[233],"models":[235],"meeting":[237],"practical":[239],"requirements":[240],"Student":[242],"Behaviors":[243],"(SB)":[244],"detection.":[245],"generalization":[247,262],"experiments":[248],"conducted":[249],"another":[251],"SB":[252],"dataset":[253],"confirm":[254],"possesses":[260],"good":[261],"performance.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}