{"id":"https://openalex.org/W4297968293","doi":"https://doi.org/10.46810/tdfd.1112957","title":"RAILWAY SECURITY SYSTEM DESIGN BY IMAGE PROCESSING AND DEEP LEARNING UNMANNED AERIAL VEHICLE","display_name":"RAILWAY SECURITY SYSTEM DESIGN BY IMAGE PROCESSING AND DEEP LEARNING UNMANNED AERIAL VEHICLE","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W4297968293","doi":"https://doi.org/10.46810/tdfd.1112957"},"language":"en","primary_location":{"id":"doi:10.46810/tdfd.1112957","doi":"https://doi.org/10.46810/tdfd.1112957","is_oa":true,"landing_page_url":"https://doi.org/10.46810/tdfd.1112957","pdf_url":"https://dergipark.org.tr/en/download/article-file/2412738","source":{"id":"https://openalex.org/S4210195338","display_name":"T\u00fcrk do\u011fa ve fen dergisi :/T\u00fcrk do\u011fa ve fen dergisi","issn_l":"2147-303X","issn":["2147-303X","2149-6366"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"T\u00fcrk Do\u011fa ve Fen Dergisi","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dergipark.org.tr/en/download/article-file/2412738","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025935592","display_name":"Muzaffer EYLENCE","orcid":"https://orcid.org/0000-0001-7299-8525","observed_orcids":["https://orcid.org/0000-0001-7299-8525"]},"institutions":[{"id":"https://openalex.org/I4210118295","display_name":"Isparta University of Applied Sciences","ror":"https://ror.org/02hmy9x20","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210118295"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Muzaffer EYLENCE","raw_affiliation_strings":["ISPARTA UYGULAMALI B\u0130L\u0130MLER \u00dcN\u0130VERS\u0130TES\u0130"],"raw_orcid":"https://orcid.org/0000-0001-7299-8525","affiliations":[{"raw_affiliation_string":"ISPARTA UYGULAMALI B\u0130L\u0130MLER \u00dcN\u0130VERS\u0130TES\u0130","institution_ids":["https://openalex.org/I4210118295"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mehmet Y\u00dcCEL","orcid":"https://orcid.org/0000-0002-4100-5831","observed_orcids":["https://orcid.org/0000-0002-4100-5831"]},"institutions":[{"id":"https://openalex.org/I4210118295","display_name":"Isparta University of Applied Sciences","ror":"https://ror.org/02hmy9x20","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210118295"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Y\u00dcCEL","raw_affiliation_strings":["ISPARTA UYGULAMALI B\u0130L\u0130MLER \u00dcN\u0130VERS\u0130TES\u0130"],"raw_orcid":"https://orcid.org/0000-0002-4100-5831","affiliations":[{"raw_affiliation_string":"ISPARTA UYGULAMALI B\u0130L\u0130MLER \u00dcN\u0130VERS\u0130TES\u0130","institution_ids":["https://openalex.org/I4210118295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065575193","display_name":"Mustafa Melik\u015fah \u00d6zmen","orcid":"https://orcid.org/0000-0003-3585-0518","observed_orcids":["https://orcid.org/0000-0003-3585-0518"]},"institutions":[{"id":"https://openalex.org/I4210118295","display_name":"Isparta University of Applied Sciences","ror":"https://ror.org/02hmy9x20","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210118295"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa Melik\u015fah \u00d6ZMEN","raw_affiliation_strings":["ISPARTA UYGULAMALI B\u0130L\u0130MLER \u00dcN\u0130VERS\u0130TES\u0130"],"raw_orcid":"https://orcid.org/0000-0003-3585-0518","affiliations":[{"raw_affiliation_string":"ISPARTA UYGULAMALI B\u0130L\u0130MLER \u00dcN\u0130VERS\u0130TES\u0130","institution_ids":["https://openalex.org/I4210118295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030716707","display_name":"Bekir Aksoy","orcid":"https://orcid.org/0000-0001-8052-9411","observed_orcids":["https://orcid.org/0000-0001-8052-9411"]},"institutions":[{"id":"https://openalex.org/I4210118295","display_name":"Isparta University of Applied Sciences","ror":"https://ror.org/02hmy9x20","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210118295"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bekir AKSOY","raw_affiliation_strings":["ISPARTA UYGULAMALI B\u0130L\u0130MLER \u00dcN\u0130VERS\u0130TES\u0130, TEKNOLOJ\u0130 FAK\u00dcLTES\u0130, MEKATRON\u0130K M\u00dcHEND\u0130SL\u0130\u011e\u0130 B\u00d6L\u00dcM\u00dc, MEKATRON\u0130K M\u00dcHEND\u0130SL\u0130\u011e\u0130 ANAB\u0130L\u0130M DALI"],"raw_orcid":"https://orcid.org/0000-0001-8052-9411","affiliations":[{"raw_affiliation_string":"ISPARTA UYGULAMALI B\u0130L\u0130MLER \u00dcN\u0130VERS\u0130TES\u0130, TEKNOLOJ\u0130 FAK\u00dcLTES\u0130, MEKATRON\u0130K M\u00dcHEND\u0130SL\u0130\u011e\u0130 B\u00d6L\u00dcM\u00dc, MEKATRON\u0130K M\u00dcHEND\u0130SL\u0130\u011e\u0130 ANAB\u0130L\u0130M DALI","institution_ids":["https://openalex.org/I4210118295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210118295"],"apc_list":null,"apc_paid":null,"fwci":0.2774,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.42400865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"11","issue":"3","first_page":"150","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8270999789237976,"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":0.8270999789237976,"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":0.14090000092983246,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.014399999752640724,"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/railway-security","display_name":"railway security","score":0.9850000143051147},{"id":"https://openalex.org/keywords/unmanned-aerial-vehicles","display_name":"unmanned aerial vehicles","score":0.9649999737739563},{"id":"https://openalex.org/keywords/foreign-object-detection","display_name":"foreign body detection","score":0.7670000195503235},{"id":"https://openalex.org/keywords/real-time-object-detection","display_name":"real-time object detection","score":0.640999972820282},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.7120000123977661},{"id":"https://openalex.org/keywords/image-processing","display_name":"image processing","score":0.9639999866485596}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6229627728462219},{"id":"https://openalex.org/C2780831121","wikidata":"https://www.wikidata.org/wiki/Q47728","display_name":"Hobby","level":2,"score":0.5977025628089905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.591790497303009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5747931599617004},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5632467865943909},{"id":"https://openalex.org/C133214962","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial photography","level":2,"score":0.47312992811203003},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.44709154963493347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4314405620098114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3603547513484955},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.33710551261901855},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32992178201675415},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2614670395851135},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.15621143579483032},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10051155090332031},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.46810/tdfd.1112957","doi":"https://doi.org/10.46810/tdfd.1112957","is_oa":true,"landing_page_url":"https://doi.org/10.46810/tdfd.1112957","pdf_url":"https://dergipark.org.tr/en/download/article-file/2412738","source":{"id":"https://openalex.org/S4210195338","display_name":"T\u00fcrk do\u011fa ve fen dergisi :/T\u00fcrk do\u011fa ve fen dergisi","issn_l":"2147-303X","issn":["2147-303X","2149-6366"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"T\u00fcrk Do\u011fa ve Fen Dergisi","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/1112957","doi":null,"is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/tdfd/issue/72793/1112957","pdf_url":"https://dergipark.org.tr/tr/pub/tdfd/issue/72793/1112957","source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"T\u00fcrk Do\u011fa ve Fen Dergisi","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.46810/tdfd.1112957","doi":"https://doi.org/10.46810/tdfd.1112957","is_oa":true,"landing_page_url":"https://doi.org/10.46810/tdfd.1112957","pdf_url":"https://dergipark.org.tr/en/download/article-file/2412738","source":{"id":"https://openalex.org/S4210195338","display_name":"T\u00fcrk do\u011fa ve fen dergisi :/T\u00fcrk do\u011fa ve fen dergisi","issn_l":"2147-303X","issn":["2147-303X","2149-6366"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["tr-dizin"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"T\u00fcrk Do\u011fa ve Fen Dergisi","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":1.0}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297968293.pdf","grobid_xml":"https://content.openalex.org/works/W4297968293.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W2040483045","https://openalex.org/W2539604081","https://openalex.org/W2555875178","https://openalex.org/W2790914279","https://openalex.org/W2910922521","https://openalex.org/W3119454746","https://openalex.org/W3127281569","https://openalex.org/W3158114921","https://openalex.org/W3175796428","https://openalex.org/W3199329327","https://openalex.org/W4200130306","https://openalex.org/W4210543228","https://openalex.org/W4210865906","https://openalex.org/W4212965978","https://openalex.org/W4221108711","https://openalex.org/W4224299412","https://openalex.org/W4280552215","https://openalex.org/W4290375473"],"related_works":["https://openalex.org/W4390664749","https://openalex.org/W4200130306","https://openalex.org/W3001788900","https://openalex.org/W3132780880","https://openalex.org/W3166943914","https://openalex.org/W3092224827","https://openalex.org/W4293232890","https://openalex.org/W4413355072","https://openalex.org/W4285145084","https://openalex.org/W4313353763"],"abstract_inverted_index":{"With":[0,44],"the":[1,23,37,45,52,66,73,77,83,87,94,101,111,114],"developing":[2],"technology,":[3],"technological":[4,24],"blessings":[5],"make":[6],"human":[7],"life":[8],"easier":[9],"and":[10,42],"help":[11],"them":[12],"every":[13],"day.":[14],"Unmanned":[15],"aerial":[16],"vehicles":[17],"(UAV),":[18],"which":[19],"is":[20,70,89],"one":[21],"of":[22,47,54,113],"blessings,":[25],"have":[26],"shown":[27],"themselves":[28],"in":[29,33,81],"many":[30],"fields,":[31],"especially":[32],"fields":[34],"such":[35],"as":[36],"military,":[38],"defense":[39,48],"industry,":[40],"photography,":[41],"hobby.":[43],"development":[46],"systems":[49],"with":[50],"UAVs,":[51],"security":[53],"railways":[55],"has":[56,105],"also":[57],"been":[58],"left":[59],"to":[60],"UAVs.":[61],"In":[62],"this":[63],"study,":[64],"while":[65],"foreign":[67],"matter":[68],"separation":[69],"made":[71],"on":[72,86],"railway":[74],"by":[75,92],"using":[76,93],"deep":[78,102],"learning":[79,103],"model":[80,104],"real-time,":[82],"image":[84,95],"taken":[85],"UAV":[88],"simultaneously":[90],"controlled":[91],"processing":[96],"method.":[97],"The":[98],"fact":[99],"that":[100],"a":[106],"0.99":[107],"mAP":[108],"rate":[109],"increases":[110],"reliability":[112],"model.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-10-01T00:00:00"}
