{"id":"https://openalex.org/W4391917651","doi":"https://doi.org/10.1080/08839514.2024.2318672","title":"Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning","display_name":"Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning","publication_year":2024,"publication_date":"2024-02-17","ids":{"openalex":"https://openalex.org/W4391917651","doi":"https://doi.org/10.1080/08839514.2024.2318672"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2318672","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318672","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318672?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318672?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086691533","display_name":"Ghazlane Yasmine","orcid":"https://orcid.org/0000-0002-9665-1005"},"institutions":[{"id":"https://openalex.org/I4210139255","display_name":"Euro-Mediterranean University of Fes","ror":"https://ror.org/03s9x8b85","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210139255"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Yasmine Ghazlane","raw_affiliation_strings":["Research Foundation for Development and Innovation in Science and Engineering (FRDISI), Casablanca, Morocco","School of Digital Engineering and Artificial Intelligence, Euromed Research Center, Euromed University, Fes, Morocco"],"raw_orcid":"https://orcid.org/0000-0002-9665-1005","affiliations":[{"raw_affiliation_string":"Research Foundation for Development and Innovation in Science and Engineering (FRDISI), Casablanca, Morocco","institution_ids":[]},{"raw_affiliation_string":"School of Digital Engineering and Artificial Intelligence, Euromed Research Center, Euromed University, Fes, Morocco","institution_ids":["https://openalex.org/I4210139255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006480834","display_name":"Maha Gmira","orcid":"https://orcid.org/0000-0001-6606-9797"},"institutions":[{"id":"https://openalex.org/I4210139255","display_name":"Euro-Mediterranean University of Fes","ror":"https://ror.org/03s9x8b85","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210139255"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Maha Gmira","raw_affiliation_strings":["School of Digital Engineering and Artificial Intelligence, Euromed Research Center, Euromed University, Fes, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Digital Engineering and Artificial Intelligence, Euromed Research Center, Euromed University, Fes, Morocco","institution_ids":["https://openalex.org/I4210139255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066202543","display_name":"Hicham Medromi","orcid":null},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hicham Medromi","raw_affiliation_strings":["National Higher School of Electricity and Mechanic (ENSEM), Hassan II University, Casablanca, Morocco","Research Foundation for Development and Innovation in Science and Engineering (FRDISI), Casablanca, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Higher School of Electricity and Mechanic (ENSEM), Hassan II University, Casablanca, Morocco","institution_ids":["https://openalex.org/I99297268"]},{"raw_affiliation_string":"Research Foundation for Development and Innovation in Science and Engineering (FRDISI), Casablanca, Morocco","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086691533"],"corresponding_institution_ids":["https://openalex.org/I4210139255"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":13.934,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.98884206,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9843999743461609,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9598000049591064,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.9566822052001953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8342059850692749},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6988134384155273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6309516429901123},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5267607569694519},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3670978844165802},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34089821577072144},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.06491884589195251},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.05436614155769348}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9566822052001953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8342059850692749},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6988134384155273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309516429901123},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5267607569694519},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3670978844165802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34089821577072144},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.06491884589195251},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.05436614155769348},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2024.2318672","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318672","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318672?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8c76b58f686241f982222810a1cf7223","is_oa":false,"landing_page_url":"https://doaj.org/article/8c76b58f686241f982222810a1cf7223","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2318672","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318672","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318672?needAccess=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391917651.pdf"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W2047232995","https://openalex.org/W2144528190","https://openalex.org/W2163345210","https://openalex.org/W2346349911","https://openalex.org/W2464306922","https://openalex.org/W2464890187","https://openalex.org/W2599520707","https://openalex.org/W2618530766","https://openalex.org/W2744043876","https://openalex.org/W2795282312","https://openalex.org/W2796789676","https://openalex.org/W2808032407","https://openalex.org/W2887807614","https://openalex.org/W2901762488","https://openalex.org/W2917876423","https://openalex.org/W2919504802","https://openalex.org/W2944086006","https://openalex.org/W2956133227","https://openalex.org/W2962751492","https://openalex.org/W2976792973","https://openalex.org/W2989663908","https://openalex.org/W3003273155","https://openalex.org/W3016550262","https://openalex.org/W3024389181","https://openalex.org/W3025996032","https://openalex.org/W3036934147","https://openalex.org/W3041916388","https://openalex.org/W3045506407","https://openalex.org/W3046220160","https://openalex.org/W3082559593","https://openalex.org/W3089146878","https://openalex.org/W3110646753","https://openalex.org/W3113764772","https://openalex.org/W3116566531","https://openalex.org/W3118722007","https://openalex.org/W3122820767","https://openalex.org/W3127753524","https://openalex.org/W3128707967","https://openalex.org/W3131348115","https://openalex.org/W3132849443","https://openalex.org/W3136561353","https://openalex.org/W3138033608","https://openalex.org/W3140702237","https://openalex.org/W3150478829","https://openalex.org/W3153216549","https://openalex.org/W3167158569","https://openalex.org/W3167865017","https://openalex.org/W3168093942","https://openalex.org/W3175195314","https://openalex.org/W3176853352","https://openalex.org/W3179796550","https://openalex.org/W3183898570","https://openalex.org/W3188918102","https://openalex.org/W3195029460","https://openalex.org/W3196607691","https://openalex.org/W4200560628","https://openalex.org/W4206352407","https://openalex.org/W4287254175","https://openalex.org/W4289668478","https://openalex.org/W4307411363","https://openalex.org/W4312229174","https://openalex.org/W4312454273","https://openalex.org/W4321368187","https://openalex.org/W4388084332","https://openalex.org/W6752713732","https://openalex.org/W6793523575"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4247925126","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Recently,":[0],"the":[1,8,15,23,45,50,63,91,102,141,144,149,169,190,193],"growing":[2],"use":[3],"of":[4,35,49,137,143,146,192],"drones":[5,57,70],"has":[6,52],"paved":[7],"way":[9],"for":[10],"limitless":[11],"applications":[12],"in":[13,94,132],"all":[14],"domains.":[16],"However,":[17],"their":[18],"malicious":[19],"exploitations":[20],"have":[21,121],"affected":[22],"airspace":[24],"safety,":[25],"making":[26],"them":[27],"double-edged":[28],"weapons.":[29],"Therefore,":[30],"intelligent":[31],"anti-drone":[32],"systems":[33],"capable":[34],"recognizing":[36,56],"and":[37,71,117,129,180],"neutralizing":[38],"airborne":[39,60],"targets":[40,93],"become":[41],"highly":[42],"required.":[43],"In":[44],"existing":[46],"literature,":[47],"most":[48],"attention":[51],"been":[53,122],"centered":[54],"on":[55,148,163],"as":[58],"unique":[59],"target,":[61],"whereas":[62],"real":[64],"challenge":[65],"is":[66,105,140,153,160],"to":[67,89],"distinguish":[68],"between":[69],"non-drone":[72],"targets.":[73],"To":[74,111],"address":[75],"this":[76,78,113,138],"issue,":[77],"study":[79,142],"develops":[80],"an":[81],"Identification":[82],"Friend":[83],"or":[84,96,108],"Foe":[85],"(IFF)":[86],"model":[87],"able":[88],"classify":[90],"aerial":[92,103],"foe":[95],"friend":[97],"categories":[98],"by":[99],"determining":[100],"whether":[101],"target":[104],"a":[106],"drone":[107],"bird,":[109],"respectively.":[110],"achieve":[112],"objective,":[114],"artificial":[115],"intelligence":[116],"computer":[118],"vision":[119],"approaches":[120],"combined":[123],"through":[124,155],"transfer":[125],"learning,":[126],"data":[127],"augmentation":[128],"other":[130],"techniques":[131],"our":[133,156],"model.":[134,195],"Another":[135],"contribution":[136],"work":[139],"impact":[145],"depth":[147],"classification":[150],"performance,":[151],"which":[152],"demonstrated":[154],"experiments.":[157],"A":[158],"comparison":[159],"performed":[161],"based":[162],"eight":[164],"models,":[165],"where":[166],"EfficientNetB6":[167],"shows":[168],"best":[170],"results":[171,188],"with":[172],"98.12%":[173],"accuracy,":[174],"98.184%":[175],"precision,":[176],"98.115%":[177],"F1":[178],"score":[179],"99.85%":[181],"Area":[182],"Under":[183],"Curve":[184],"(AUC).":[185],"The":[186],"computational":[187],"demonstrate":[189],"practicality":[191],"developed":[194]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":6}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}