{"id":"https://openalex.org/W7127079142","doi":"https://doi.org/10.1145/3787256.3787276","title":"Detection of Electric Bike (eBike) in Low Illumination Using YOLOv8 with EnlightenGAN and Attention Mechanism","display_name":"Detection of Electric Bike (eBike) in Low Illumination Using YOLOv8 with EnlightenGAN and Attention Mechanism","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W7127079142","doi":"https://doi.org/10.1145/3787256.3787276"},"language":null,"primary_location":{"id":"doi:10.1145/3787256.3787276","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787256.3787276","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3787256.3787276?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3787256.3787276?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006126536","display_name":"John Paul Q. Tomas","orcid":"https://orcid.org/0000-0003-0539-4902"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]},{"id":"https://openalex.org/I3129998261","display_name":"University of Makati","ror":"https://ror.org/00473rv55","country_code":"PH","type":"education","lineage":["https://openalex.org/I3129998261"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"John Paul Q. Tomas","raw_affiliation_strings":["School of Information Technology, Mapua University, Makati, NCR, Philippines,"],"raw_orcid":"https://orcid.org/0000-0003-0539-4902","affiliations":[{"raw_affiliation_string":"School of Information Technology, Mapua University, Makati, NCR, Philippines,","institution_ids":["https://openalex.org/I137967721","https://openalex.org/I3129998261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107820602","display_name":"Vince Daniel C. Del Rosario","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]},{"id":"https://openalex.org/I3129998261","display_name":"University of Makati","ror":"https://ror.org/00473rv55","country_code":"PH","type":"education","lineage":["https://openalex.org/I3129998261"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Vince Daniel C. Del Rosario","raw_affiliation_strings":["School of Information Technology, Mapua University, Makati, NCR, Philippines,"],"raw_orcid":"https://orcid.org/0009-0003-0194-8987","affiliations":[{"raw_affiliation_string":"School of Information Technology, Mapua University, Makati, NCR, Philippines,","institution_ids":["https://openalex.org/I137967721","https://openalex.org/I3129998261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113289492","display_name":"Christian Benjamin B. So","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]},{"id":"https://openalex.org/I3129998261","display_name":"University of Makati","ror":"https://ror.org/00473rv55","country_code":"PH","type":"education","lineage":["https://openalex.org/I3129998261"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Christian Benjamin B. So","raw_affiliation_strings":["School of Information Technology, Mapua University, Makati, NCR, Philippines,"],"raw_orcid":"https://orcid.org/0009-0007-5626-1882","affiliations":[{"raw_affiliation_string":"School of Information Technology, Mapua University, Makati, NCR, Philippines,","institution_ids":["https://openalex.org/I137967721","https://openalex.org/I3129998261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104542846","display_name":"Carlos Louis T. Sobrevilla","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]},{"id":"https://openalex.org/I3129998261","display_name":"University of Makati","ror":"https://ror.org/00473rv55","country_code":"PH","type":"education","lineage":["https://openalex.org/I3129998261"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Carlos Louis T. Sobrevilla","raw_affiliation_strings":["School of Information Technology, Mapua University, Makati, NCR, Philippines,"],"raw_orcid":"https://orcid.org/0009-0006-3442-8365","affiliations":[{"raw_affiliation_string":"School of Information Technology, Mapua University, Makati, NCR, Philippines,","institution_ids":["https://openalex.org/I137967721","https://openalex.org/I3129998261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006126536"],"corresponding_institution_ids":["https://openalex.org/I137967721","https://openalex.org/I3129998261"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67715175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.519599974155426,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.519599974155426,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.10239999741315842,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0215000007301569,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/feature","display_name":"Feature (linguistics)","score":0.5297999978065491},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.46959999203681946},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4219000041484833},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.41839998960494995},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.38109999895095825},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3156000077724457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5534999966621399},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5297999978065491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4700999855995178},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.46959999203681946},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4219000041484833},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40230000019073486},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3379000127315521},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3190000057220459},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3165999948978424},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29109999537467957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27140000462532043}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3787256.3787276","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787256.3787276","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3787256.3787276?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3787256.3787276","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3787256.3787276","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3787256.3787276?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 8th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W7127079142.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2114508695","https://openalex.org/W2884585870","https://openalex.org/W2963584620","https://openalex.org/W3016664689","https://openalex.org/W3083881922","https://openalex.org/W3118394139","https://openalex.org/W3166594121","https://openalex.org/W4226269723","https://openalex.org/W4312965730","https://openalex.org/W4384525598","https://openalex.org/W4388115652","https://openalex.org/W4388855954","https://openalex.org/W4402227724"],"related_works":[],"abstract_inverted_index":{"Detecting":[0],"electric":[1],"bikes":[2],"(eBikes)":[3],"in":[4,63,106,160],"low":[5],"illumination":[6],"conditions":[7,32],"poses":[8],"challenges":[9],"for":[10,36,89,157,167],"effective":[11,156],"traffic":[12],"monitoring":[13],"and":[14,23,40,66,127,134,140,153],"road":[15,168],"safety.":[16],"This":[17],"study":[18,95],"utilized":[19],"the":[20,41,48,57,64,97,110,145],"YOLOv8":[21,85,112],"model":[22],"its":[24],"variants":[25],"to":[26,78,144],"improve":[27],"eBike":[28],"detection":[29,107],"under":[30],"such":[31],"by":[33,83,138],"integrating":[34],"EnlightenGAN":[35,77],"low-light":[37,68,161],"image":[38,80],"enhancement":[39,69],"Convolutional":[42],"Block":[43],"Attention":[44],"Module":[45],"(CBAM)":[46],"as":[47],"integrated":[49,87],"attention":[50,61],"mechanism.":[51],"The":[52,73,132,148],"scope":[53],"focused":[54],"on":[55],"assessing":[56],"impact":[58],"of":[59,99,117,125,130,150],"an":[60,115,122],"mechanism":[62],"architecture":[65],"a":[67,128,164],"technique":[70],"during":[71],"preprocessing.":[72],"methodology":[74],"involved":[75],"using":[76],"enhance":[79],"illumination,":[81],"followed":[82],"training":[84],"with":[86,109],"CBAM":[88,154],"improved":[90],"feature":[91],"extraction.":[92],"An":[93],"ablation":[94],"analyzed":[96],"effectiveness":[98],"each":[100],"component.":[101],"Results":[102],"demonstrated":[103],"significant":[104],"improvements":[105],"accuracy,":[108],"enhanced":[111],"models":[113],"achieving":[114],"average":[116,123],"0.9380":[118],"mAP50,":[119],"0.7990":[120],"mAP50-95,":[121],"precision":[124],"90.98%,":[126],"recall":[129],"89.38%.":[131],"mAP50":[133],"mAP50-95":[135],"scores":[136],"increased":[137],"1.20%":[139],"2.34%,":[141],"respectively,":[142],"compared":[143],"base":[146],"model.":[147],"integration":[149],"YOLOv8,":[151],"EnlightenGAN,":[152],"proved":[155],"detecting":[158],"eBikes":[159],"environments,":[162],"offering":[163],"promising":[165],"solution":[166],"safety":[169],"applications.":[170]},"counts_by_year":[],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2026-02-03T00:00:00"}
