{"id":"https://openalex.org/W2174769722","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337917","title":"A component-based object detection method extended with a fuzzy inference engine","display_name":"A component-based object detection method extended with a fuzzy inference engine","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2174769722","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337917","mag":"2174769722"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7337917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5082463863","display_name":"Murat Koyuncu","orcid":"https://orcid.org/0000-0003-1958-5945"},"institutions":[{"id":"https://openalex.org/I45542416","display_name":"Atilim University","ror":"https://ror.org/04pd3v454","country_code":"TR","type":"education","lineage":["https://openalex.org/I45542416"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Murat Koyuncu","raw_affiliation_strings":["Department of Information Systems Engineering, Atilim University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems Engineering, Atilim University, Ankara, Turkey","institution_ids":["https://openalex.org/I45542416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052585939","display_name":"Basar Cetinkaya","orcid":null},"institutions":[{"id":"https://openalex.org/I45542416","display_name":"Atilim University","ror":"https://ror.org/04pd3v454","country_code":"TR","type":"education","lineage":["https://openalex.org/I45542416"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Basar Cetinkaya","raw_affiliation_strings":["MODES, Atilim University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"MODES, Atilim University, Ankara, Turkey","institution_ids":["https://openalex.org/I45542416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082463863"],"corresponding_institution_ids":["https://openalex.org/I45542416"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09026649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9904999732971191,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/component","display_name":"Component (thermodynamics)","score":0.6828784346580505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6765915155410767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6467234492301941},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6335189938545227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6255205273628235},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6160147190093994},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5839836597442627},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5581343770027161},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5003209114074707},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.431118905544281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3581482768058777},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32784712314605713}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6828784346580505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765915155410767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6467234492301941},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6335189938545227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6255205273628235},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6160147190093994},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5839836597442627},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5581343770027161},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5003209114074707},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.431118905544281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3581482768058777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32784712314605713},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7337917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W175058090","https://openalex.org/W1560724230","https://openalex.org/W1974971303","https://openalex.org/W1976044962","https://openalex.org/W1978822944","https://openalex.org/W1988456619","https://openalex.org/W2012330712","https://openalex.org/W2014706086","https://openalex.org/W2031489346","https://openalex.org/W2038770598","https://openalex.org/W2042316011","https://openalex.org/W2046589280","https://openalex.org/W2101042689","https://openalex.org/W2104019579","https://openalex.org/W2107496976","https://openalex.org/W2109943925","https://openalex.org/W2110764733","https://openalex.org/W2118743891","https://openalex.org/W2124386111","https://openalex.org/W2152473410","https://openalex.org/W2153635508","https://openalex.org/W2154422044","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2172000360","https://openalex.org/W2282078507","https://openalex.org/W2363529646","https://openalex.org/W3140834074","https://openalex.org/W4205398292","https://openalex.org/W6675935253"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2357256365","https://openalex.org/W148178222","https://openalex.org/W2348502264","https://openalex.org/W2104657898","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,23,28,53,65,71,92],"component-based":[6],"object":[7,25,30,73,78,89],"detection":[8],"method":[9,18],"extended":[10],"with":[11],"the":[12,49,68,76,80],"fuzzy":[13,72,88,93],"inference":[14,94],"technique.":[15],"The":[16,58,87,109],"proposed":[17,121],"detects":[19],"constituent":[20],"components":[21,82,102],"of":[22,27,100],"complex":[24],"instead":[26],"whole":[29,77],"in":[31,44],"images.":[32],"For":[33],"component":[34,51],"detection,":[35],"multiple":[36],"multi-class":[37],"support":[38],"vector":[39],"machines":[40],"(SVM)":[41],"are":[42,61],"used":[43],"parallel.":[45],"Each":[46],"SVM":[47],"classifies":[48],"candidate":[50],"using":[52],"different":[54],"low-level":[55],"image":[56],"feature.":[57],"obtained":[59],"results":[60,114],"fused":[62],"to":[63,119],"reach":[64],"decision":[66],"about":[67],"component.":[69],"Then,":[70],"extractor":[74,90],"determines":[75],"considering":[79],"detected":[81,101],"and":[83,103,107,115],"their":[84,104],"geometric":[85],"configurations.":[86],"is":[91],"engine":[95],"which":[96],"tests":[97,111],"various":[98],"combinations":[99],"fuzzified":[105],"directions":[106],"distances.":[108],"initial":[110],"yield":[112],"promising":[113],"encourage":[116],"further":[117],"studies":[118],"extend":[120],"method.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
