{"id":"https://openalex.org/W7127361575","doi":"https://doi.org/10.1109/ccece64018.2025.11364513","title":"GA-Based Optimization of Visible and Infrared Decision-Level Data Fusion for UAV Detection","display_name":"GA-Based Optimization of Visible and Infrared Decision-Level Data Fusion for UAV Detection","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W7127361575","doi":"https://doi.org/10.1109/ccece64018.2025.11364513"},"language":null,"primary_location":{"id":"doi:10.1109/ccece64018.2025.11364513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece64018.2025.11364513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124957802","display_name":"Ana Pereira","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ana Pereira","raw_affiliation_strings":["University of Victoria,Department of Mechanical Engineering,Victoria,Canada"],"affiliations":[{"raw_affiliation_string":"University of Victoria,Department of Mechanical Engineering,Victoria,Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028560568","display_name":"A SULEMAN","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Afzal Suleman","raw_affiliation_strings":["University of Victoria,Department of Mechanical Engineering,Victoria,Canada"],"affiliations":[{"raw_affiliation_string":"University of Victoria,Department of Mechanical Engineering,Victoria,Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5124957802"],"corresponding_institution_ids":["https://openalex.org/I212119943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82623972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"170","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.4056999981403351,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.4056999981403351,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10036","display_name":"Advanced Neural Network Applications","score":0.15209999680519104,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.04529999941587448,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/context","display_name":"Context (archaeology)","score":0.5738000273704529},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5231000185012817},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.42170000076293945},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4187000095844269},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.412200003862381},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4016999900341034},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.39430001378059387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3684000074863434},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.35740000009536743}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.667900025844574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620000004768372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6019999980926514},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5738000273704529},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5231000185012817},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4350000023841858},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C2775935494","wikidata":"https://www.wikidata.org/wiki/Q741964","display_name":"Search and rescue","level":3,"score":0.3481000065803528},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece64018.2025.11364513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece64018.2025.11364513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6387312412261963,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3191950921","https://openalex.org/W4205656153","https://openalex.org/W4214734027","https://openalex.org/W4307552005","https://openalex.org/W4386076325","https://openalex.org/W4404106022"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,9,26,34,39,42,73,85,90,109],"development":[4],"of":[5,11,28,41,52,57,75,79,87,131],"a":[6,66,76,96,139],"framework":[7],"for":[8,38,101],"detection":[10,103],"small":[12],"non-cooperative":[13],"Unmanned":[14],"Aerial":[15,30],"Vehicles":[16],"(UAVs)":[17],"using":[18,46,65,108],"Electro-optical":[19],"(EO)":[20],"and":[21,48,54,70,72,93,106,111,116,128,134],"Infrared":[22],"(IR)":[23],"sensors,":[24],"in":[25,123],"context":[27],"Counter-Unmanned":[29],"Systems":[31],"(C-UAS).":[32],"First,":[33],"hyperparameter":[35],"tuning":[36],"procedures":[37],"training":[40],"YOLOv7":[43],"object":[44],"detector":[45],"spatial":[47,110],"temporally":[49,112],"aligned":[50,113],"datasets":[51],"EO":[53,92],"IR":[55,94],"images":[56,80],"UAVs":[58],"are":[59,81],"described.":[60],"The":[61],"optimization":[62],"is":[63,104],"performed":[64],"Genetic":[67],"Algorithm":[68],"(GA),":[69],"elitism":[71],"use":[74],"reduced":[77],"number":[78],"implemented":[82,105],"to":[83],"improve":[84],"rate":[86],"convergence.":[88],"Using":[89],"optimized":[91],"models,":[95],"decision-level":[97],"data":[98],"fusion":[99],"approach":[100],"UAV":[102],"tested":[107],"test":[114],"sets":[115],"inference":[117],"videos.":[118],"Results":[119],"show":[120],"notable":[121],"improvements":[122],"metrics,":[124],"with":[125,138],"maximum":[126],"precision":[127],"recall":[129],"increases":[130],"$10.9":[132],"\\%$":[133],"$5.1":[135],"\\%$,":[136],"respectively,":[137],"minor":[140],"compromise":[141],"on":[142],"frame":[143],"rate.":[144]},"counts_by_year":[],"updated_date":"2026-02-06T02:01:19.302388","created_date":"2026-02-04T00:00:00"}