{"id":"https://openalex.org/W4389042014","doi":"https://doi.org/10.1109/csit61576.2023.10324210","title":"Recognition and classification of military aircraft in images","display_name":"Recognition and classification of military aircraft in images","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4389042014","doi":"https://doi.org/10.1109/csit61576.2023.10324210"},"language":"en","primary_location":{"id":"doi:10.1109/csit61576.2023.10324210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit61576.2023.10324210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)","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/A5034396846","display_name":"\u0412\u0456\u043a\u0442\u043e\u0440 \u0425\u0430\u0432\u0430\u043b\u043a\u043e","orcid":"https://orcid.org/0000-0002-9585-3078"},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Viktor Khavalko","raw_affiliation_strings":["Lviv Polytechnic National University,Department of Artificial Intelligence Sysytems,Lviv,Ukraine"],"affiliations":[{"raw_affiliation_string":"Lviv Polytechnic National University,Department of Artificial Intelligence Sysytems,Lviv,Ukraine","institution_ids":["https://openalex.org/I98435010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093346134","display_name":"Nazar Kalapun","orcid":null},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Nazar Kalapun","raw_affiliation_strings":["Lviv Polytechnic National University,Department of Artificial Intelligence Sysytems,Lviv,Ukraine"],"affiliations":[{"raw_affiliation_string":"Lviv Polytechnic National University,Department of Artificial Intelligence Sysytems,Lviv,Ukraine","institution_ids":["https://openalex.org/I98435010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002111027","display_name":"Bohdan Dokhnyak","orcid":null},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Bohdan Dokhnyak","raw_affiliation_strings":["Lviv Polytechnic National University,Department of Artificial Intelligence Sysytems,Lviv,Ukraine"],"affiliations":[{"raw_affiliation_string":"Lviv Polytechnic National University,Department of Artificial Intelligence Sysytems,Lviv,Ukraine","institution_ids":["https://openalex.org/I98435010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034396846"],"corresponding_institution_ids":["https://openalex.org/I98435010"],"apc_list":null,"apc_paid":null,"fwci":0.134,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46663131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9943000078201294,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9764999747276306,"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/computer-science","display_name":"Computer science","score":0.6994483470916748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6588600277900696},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6322382688522339},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4702790081501007},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4488692879676819},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44244617223739624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4330158531665802},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4317287802696228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3442367613315582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6994483470916748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6588600277900696},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6322382688522339},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4702790081501007},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4488692879676819},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44244617223739624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4330158531665802},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4317287802696228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3442367613315582},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csit61576.2023.10324210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit61576.2023.10324210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2718471533","https://openalex.org/W2907682723","https://openalex.org/W2947507977","https://openalex.org/W2952624574","https://openalex.org/W3091975141","https://openalex.org/W3098507037","https://openalex.org/W4210743160","https://openalex.org/W4221080799","https://openalex.org/W4281753266","https://openalex.org/W6770270415"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Various":[0],"approaches":[1,19],"to":[2,85],"the":[3,42,58,67,88],"recognition":[4,49,62],"and":[5,17,24,32,45,69,79,91],"classification":[6,80],"of":[7,47,60,71,93],"military":[8,52,73,94],"equipment":[9,95],"are":[10,37],"explored,":[11],"including":[12],"traditional":[13],"computer":[14],"vision":[15],"methods":[16],"state-of-the-art":[18],"based":[20],"on":[21],"deep":[22],"learning":[23],"artificial":[25],"intelligence.":[26],"The":[27,54],"challenges":[28],"faced":[29],"by":[30],"researchers":[31],"developers":[33],"in":[34],"this":[35],"field":[36],"also":[38],"examined,":[39],"along":[40],"with":[41,96],"potential":[43],"benefits":[44],"applications":[46],"automated":[48,61],"systems":[50,63],"for":[51],"equipment.":[53,74],"findings":[55],"suggest":[56],"that":[57],"use":[59],"can":[64],"greatly":[65],"enhance":[66],"speed":[68],"accuracy":[70],"identifying":[72],"By":[75],"leveraging":[76],"neural":[77],"networks":[78],"algorithms,":[81],"it":[82],"becomes":[83],"possible":[84],"automatically":[86],"determine":[87],"type,":[89],"class,":[90],"condition":[92],"high":[97],"accuracy.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}