{"id":"https://openalex.org/W2809887172","doi":"https://doi.org/10.1109/fskd.2017.8392973","title":"Object classification in underwater images using adaptive fuzzy neural network","display_name":"Object classification in underwater images using adaptive fuzzy neural network","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2809887172","doi":"https://doi.org/10.1109/fskd.2017.8392973","mag":"2809887172"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8392973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8392973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5113799176","display_name":"K. Srividhya","orcid":null},"institutions":[{"id":"https://openalex.org/I96211989","display_name":"HCL Technologies (India)","ror":"https://ror.org/02nbb5780","country_code":"IN","type":"company","lineage":["https://openalex.org/I96211989"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K. Srividhya","raw_affiliation_strings":["HCL Technologies, Chennai, India"],"affiliations":[{"raw_affiliation_string":"HCL Technologies, Chennai, India","institution_ids":["https://openalex.org/I96211989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112853161","display_name":"M. Ramya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. M. Ramya","raw_affiliation_strings":["Center for Automation and Robotics, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Center for Automation and Robotics, Chennai, India","institution_ids":["https://openalex.org/I4210121405"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113799176"],"corresponding_institution_ids":["https://openalex.org/I96211989"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23781994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"142","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9722999930381775,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7599305510520935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6884970664978027},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6392772197723389},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6351284980773926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5726149678230286},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5269278287887573},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49522510170936584},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.494660347700119},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4928033649921417},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4761134088039398},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47042226791381836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46314120292663574},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4371865391731262},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4345627725124359},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18153652548789978},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08115223050117493}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7599305510520935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884970664978027},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6392772197723389},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6351284980773926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5726149678230286},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5269278287887573},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49522510170936584},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.494660347700119},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4928033649921417},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4761134088039398},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47042226791381836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46314120292663574},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4371865391731262},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4345627725124359},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18153652548789978},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08115223050117493},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8392973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8392973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.8600000143051147,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W1551976285","https://openalex.org/W1810231305","https://openalex.org/W1967074509","https://openalex.org/W2009998377","https://openalex.org/W2015266356","https://openalex.org/W2018159525","https://openalex.org/W2019207321","https://openalex.org/W2044465660","https://openalex.org/W2045607152","https://openalex.org/W2072528400","https://openalex.org/W2097169398","https://openalex.org/W2105393075","https://openalex.org/W2117438495","https://openalex.org/W2130920935","https://openalex.org/W2139667954","https://openalex.org/W2141614013","https://openalex.org/W2150483639","https://openalex.org/W2151419026","https://openalex.org/W2157537365","https://openalex.org/W2161267827","https://openalex.org/W2320641533","https://openalex.org/W2331862650","https://openalex.org/W2552987791","https://openalex.org/W2568159088","https://openalex.org/W2587935902","https://openalex.org/W2588644812","https://openalex.org/W2593270735","https://openalex.org/W4302081184"],"related_works":["https://openalex.org/W2037375427","https://openalex.org/W4360784979","https://openalex.org/W3017192027","https://openalex.org/W2204605857","https://openalex.org/W1996489018","https://openalex.org/W2007664797","https://openalex.org/W2120981610","https://openalex.org/W3129669851","https://openalex.org/W2360759360","https://openalex.org/W3196005494"],"abstract_inverted_index":{"Classification":[0],"in":[1,26,49],"underwater":[2,53,77],"imagesis":[3],"a":[4,122],"challenging":[5],"task":[6],"as":[7,32],"images":[8,78],"are":[9,24],"often":[10],"captured":[11],"inextreme":[12],"environmental":[13],"conditions":[14],"with":[15],"poor":[16],"illumination,":[17],"hazy":[18],"background,":[19],"etc.":[20],"Ocean":[21],"scientists":[22],"who":[23],"involved":[25],"such":[27],"analysis,":[28],"prefer":[29],"automatic":[30],"classification":[31,34,124],"manual":[33],"is":[35,66],"costly":[36],"and":[37,64,79,87,106,111],"time":[38],"consuming.":[39],"Techniques":[40],"based":[41],"on":[42],"intensity":[43],"information":[44,60],"alone":[45],"may":[46],"not":[47],"result":[48],"accurate":[50],"segmentation":[51],"of":[52,61,70,96,126],"objects.":[54],"Statistical":[55],"features":[56,73,80,108],"representing":[57],"the":[58,62],"texture":[59,72,107],"object":[63,95],"background":[65],"needed.":[67],"A":[68,100],"set":[69],"14":[71],"was":[74,104],"computed":[75],"for":[76,113],"like":[81],"autocorrelation,":[82],"sum":[83,85,88],"average,":[84],"variance":[86],"entropy":[89],"were":[90,109],"able":[91],"to":[92],"accurately":[93],"classify":[94],"interest":[97],"from":[98],"background.":[99],"fuzzy":[101,118],"neural":[102,119],"network":[103,120],"designed":[105],"trained":[110],"tested":[112],"classification.":[114],"The":[115],"proposed":[116],"adaptive":[117],"obtained":[121],"maximum":[123],"accuracy":[125],"97%.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}