{"id":"https://openalex.org/W4408788198","doi":"https://doi.org/10.55525/tjst.1563258","title":"Dangerous Goods Detection and Warning Approach Based on Image Processing Techniques","display_name":"Dangerous Goods Detection and Warning Approach Based on Image Processing Techniques","publication_year":2025,"publication_date":"2025-03-25","ids":{"openalex":"https://openalex.org/W4408788198","doi":"https://doi.org/10.55525/tjst.1563258"},"language":"en","primary_location":{"id":"doi:10.55525/tjst.1563258","doi":"https://doi.org/10.55525/tjst.1563258","is_oa":false,"landing_page_url":"https://doi.org/10.55525/tjst.1563258","pdf_url":null,"source":{"id":"https://openalex.org/S4220650978","display_name":"Turkish Journal of Science and Technology","issn_l":"1308-9080","issn":["1308-9080","1308-9099"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Turkish Journal of Science and Technology","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dergipark.org.tr/en/download/article-file/4271531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115433987","display_name":"Fatma Bet\u00fcl Okur","orcid":"https://orcid.org/0009-0008-6310-4524","observed_orcids":["https://orcid.org/0009-0008-6310-4524"]},"institutions":[{"id":"https://openalex.org/I4210098942","display_name":"Milli Savunma \u00dcniversitesi","ror":"https://ror.org/010t24d82","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210098942"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatma Bet\u00fcl Okur","raw_affiliation_strings":["M\u0130LL\u0130 SAVUNMA \u00dcN\u0130VERS\u0130TES\u0130"],"raw_orcid":"https://orcid.org/0009-0008-6310-4524","affiliations":[{"raw_affiliation_string":"M\u0130LL\u0130 SAVUNMA \u00dcN\u0130VERS\u0130TES\u0130","institution_ids":["https://openalex.org/I4210098942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054702754","display_name":"Can Ey\u00fcpo\u011flu","orcid":"https://orcid.org/0000-0002-6133-8617","observed_orcids":["https://orcid.org/0000-0002-6133-8617"]},"institutions":[{"id":"https://openalex.org/I4210098942","display_name":"Milli Savunma \u00dcniversitesi","ror":"https://ror.org/010t24d82","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210098942"]},{"id":"https://openalex.org/I99312532","display_name":"Turkish Air Force Academy","ror":"https://ror.org/01psaa030","country_code":"TR","type":"education","lineage":["https://openalex.org/I99312532"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Can Ey\u00fcpo\u011flu","raw_affiliation_strings":["M\u0130LL\u0130 SAVUNMA \u00dcN\u0130VERS\u0130TES\u0130, HAVA HARP OKULU"],"raw_orcid":"https://orcid.org/0000-0002-6133-8617","affiliations":[{"raw_affiliation_string":"M\u0130LL\u0130 SAVUNMA \u00dcN\u0130VERS\u0130TES\u0130, HAVA HARP OKULU","institution_ids":["https://openalex.org/I4210098942","https://openalex.org/I99312532"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.362,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51624664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"20","issue":"1","first_page":"235","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.5185999870300293,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.5185999870300293,"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":0.1597999930381775,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.1006999984383583,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/dangerous-goods","display_name":"dangerous goods","score":0.7409999966621399},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"optical character recognition","score":0.8980000019073486},{"id":"https://openalex.org/keywords/label-detection","display_name":"label detection","score":0.5820000171661377},{"id":"https://openalex.org/keywords/accident-prevention","display_name":"accident prevention","score":0.6010000109672546},{"id":"https://openalex.org/keywords/alert-system","display_name":"alert system","score":0.6209999918937683},{"id":"https://openalex.org/keywords/transportation-safety","display_name":"transport safety","score":0.6389999985694885},{"id":"https://openalex.org/keywords/image-processing","display_name":"image processing","score":0.47099998593330383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5707764625549316},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5137206315994263},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.4325403869152069},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.409200519323349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39858314394950867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38780468702316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35976627469062805},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.32278650999069214},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1337716281414032}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.55525/tjst.1563258","doi":"https://doi.org/10.55525/tjst.1563258","is_oa":false,"landing_page_url":"https://doi.org/10.55525/tjst.1563258","pdf_url":null,"source":{"id":"https://openalex.org/S4220650978","display_name":"Turkish Journal of Science and Technology","issn_l":"1308-9080","issn":["1308-9080","1308-9099"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Turkish Journal of Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/1563258","doi":null,"is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/tjst/issue/90518/1563258","pdf_url":"https://dergipark.org.tr/en/download/article-file/4271531","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Turkish Journal of Science and Technology","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:openaccess.firat.edu.tr:11508/31224","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11508/31224","pdf_url":null,"source":{"id":"https://openalex.org/S4377196733","display_name":"DSpace - FIRAT (F\u0131rat University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I143396566","host_organization_name":"F\u0131rat University","host_organization_lineage":["https://openalex.org/I143396566"],"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":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:dergipark.org.tr:article/1563258","doi":null,"is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/tjst/issue/90518/1563258","pdf_url":"https://dergipark.org.tr/en/download/article-file/4271531","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Turkish Journal of Science and Technology","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408788198.pdf","grobid_xml":"https://content.openalex.org/works/W4408788198.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2073704637","https://openalex.org/W2561684977","https://openalex.org/W2605982830","https://openalex.org/W2790071328","https://openalex.org/W2889505062","https://openalex.org/W2891570580","https://openalex.org/W2964322605","https://openalex.org/W2997045286","https://openalex.org/W3021098161","https://openalex.org/W4200216011","https://openalex.org/W4220667029","https://openalex.org/W4230800876","https://openalex.org/W4294609023","https://openalex.org/W4316659141","https://openalex.org/W4318196853","https://openalex.org/W4365133776","https://openalex.org/W4366992577","https://openalex.org/W4381661690","https://openalex.org/W4389096153","https://openalex.org/W4389880954","https://openalex.org/W4392172041","https://openalex.org/W4392472425","https://openalex.org/W4401774308","https://openalex.org/W4405373936"],"related_works":["https://openalex.org/W2973880684","https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2386569836","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2079911747","https://openalex.org/W3116076068","https://openalex.org/W3003936178","https://openalex.org/W2145652935"],"abstract_inverted_index":{"Hazardous":[0],"substances":[1],"are":[2],"widely":[3],"used":[4,85],"in":[5,52,63,86,224,245],"many":[6],"sectors":[7],"such":[8],"as":[9],"industry,":[10],"logistics,":[11],"agriculture":[12],"and":[13,38,68,100,150,159,171,226,240],"energy,":[14],"but":[15],"they":[16],"carry":[17],"potentially":[18],"serious":[19],"risks.":[20,40],"Accurate":[21],"identification":[22],"of":[23,55,65,79,97,140,184,206,220],"these":[24],"risks":[25],"before":[26],"the":[27,53,80,87,95,101,104,113,131,136,138,141,157,162,174,180,198,202,204,207,218,221],"materials":[28],"start":[29],"transportation":[30,239],"processes":[31],"is":[32,84,166],"critical":[33,152],"to":[34,46,58,69,119,147,161,173],"prevent":[35],"potential":[36],"accidents":[37,48,67],"minimize":[39],"This":[41,164,231],"study":[42,232],"presents":[43],"an":[44,234],"approach":[45,223],"preventing":[47],"that":[49],"may":[50],"occur":[51],"transport":[54],"dangerous":[56],"goods":[57,90],"ensure":[59],"rapid,":[60],"effective":[61],"intervention":[62],"case":[64],"possible":[66],"take":[70],"early":[71],"precautions.":[72],"Optical":[73],"Character":[74],"Recognition":[75],"(OCR)":[76],"technology,":[77],"one":[78],"image":[81],"processing":[82,227],"techniques,":[83],"study.":[88],"Dangerous":[89],"labels":[91,190],"were":[92,106,122,154],"detected":[93,110],"with":[94,124,135,168,191],"help":[96],"OCR":[98],"algorithms":[99],"texts":[102],"on":[103,130,201],"label":[105],"successfully":[107],"detected.":[108],"The":[109,215],"texts,":[111],"especially":[112,244],"United":[114],"Nations":[115],"(UN)":[116],"numbers":[117,133],"specific":[118],"hazardous":[120,188,228],"substances,":[121],"matched":[123,134,167],"a":[125,182],"previously":[126],"created":[127],"database.":[128],"Based":[129],"UN":[132],"database,":[137],"properties":[139],"relevant":[142],"substance,":[143],"response":[144,242],"conditions,":[145],"precautions":[146],"be":[148],"taken":[149],"other":[151],"information":[153,165],"retrieved":[155],"from":[156],"database":[158],"presented":[160],"users.":[163],"visual":[169],"outputs":[170],"transferred":[172],"user":[175],"through":[176],"warning":[177],"systems.":[178],"In":[179,197],"study,":[181],"dataset":[183],"600":[185],"images":[186],"containing":[187],"material":[189,229],"various":[192],"background":[193],"conditions":[194],"was":[195,209],"used.":[196],"tests":[199],"performed":[200],"dataset,":[203],"performance":[205],"system":[208],"evaluated":[210],"by":[211],"calculating":[212],"accuracy":[213],"metrics.":[214],"results":[216],"show":[217],"effectiveness":[219],"OCR-based":[222],"detecting":[225],"labels.":[230],"provides":[233],"important":[235],"contribution":[236],"for":[237],"safe":[238],"rapid":[241],"processes,":[243],"large-scale":[246],"logistics":[247],"operations.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}