{"id":"https://openalex.org/W3216885482","doi":"https://doi.org/10.1109/lars/sbr/wre54079.2021.9605400","title":"A Visual Inspection Proposal to Identify Corrosion Levels in Marine Vessels Using a Deep Neural Network","display_name":"A Visual Inspection Proposal to Identify Corrosion Levels in Marine Vessels Using a Deep Neural Network","publication_year":2021,"publication_date":"2021-10-11","ids":{"openalex":"https://openalex.org/W3216885482","doi":"https://doi.org/10.1109/lars/sbr/wre54079.2021.9605400","mag":"3216885482"},"language":"en","primary_location":{"id":"doi:10.1109/lars/sbr/wre54079.2021.9605400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre54079.2021.9605400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE)","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/A5068255080","display_name":"Luciane B. Soares","orcid":"https://orcid.org/0000-0002-9389-9865"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luciane Soares","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029568844","display_name":"S\u00edlvia Silva da Costa Botelho","orcid":"https://orcid.org/0000-0002-8857-0221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Silvia Botelho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033307370","display_name":"Ricardo Nagel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ricardo Nagel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037041582","display_name":"Paulo Drews","orcid":"https://orcid.org/0000-0002-7519-0502"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paulo Lilles Drews","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6628,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86593081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"222","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9879000186920166,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9879000186920166,"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"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9872999787330627,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9872000217437744,"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/remotely-operated-underwater-vehicle","display_name":"Remotely operated underwater vehicle","score":0.8904747366905212},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6840245127677917},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6280272006988525},{"id":"https://openalex.org/keywords/remotely-operated-vehicle","display_name":"Remotely operated vehicle","score":0.6259917616844177},{"id":"https://openalex.org/keywords/corrosion","display_name":"Corrosion","score":0.5660930275917053},{"id":"https://openalex.org/keywords/marine-engineering","display_name":"Marine engineering","score":0.5552647113800049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5440856218338013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4952668249607086},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4794113337993622},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.461901992559433},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4585025906562805},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.4168112576007843},{"id":"https://openalex.org/keywords/hull","display_name":"Hull","score":0.41637617349624634},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35942408442497253},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.20610177516937256},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1833767294883728},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.1433693766593933},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1160048246383667}],"concepts":[{"id":"https://openalex.org/C145424490","wikidata":"https://www.wikidata.org/wiki/Q618465","display_name":"Remotely operated underwater vehicle","level":4,"score":0.8904747366905212},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6840245127677917},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6280272006988525},{"id":"https://openalex.org/C64228939","wikidata":"https://www.wikidata.org/wiki/Q618465","display_name":"Remotely operated vehicle","level":2,"score":0.6259917616844177},{"id":"https://openalex.org/C20625102","wikidata":"https://www.wikidata.org/wiki/Q137056","display_name":"Corrosion","level":2,"score":0.5660930275917053},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.5552647113800049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440856218338013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4952668249607086},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4794113337993622},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.461901992559433},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4585025906562805},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.4168112576007843},{"id":"https://openalex.org/C37423430","wikidata":"https://www.wikidata.org/wiki/Q6750281","display_name":"Hull","level":2,"score":0.41637617349624634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35942408442497253},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.20610177516937256},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1833767294883728},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.1433693766593933},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1160048246383667},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lars/sbr/wre54079.2021.9605400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre54079.2021.9605400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.8100000023841858,"display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322468","display_name":"Petrobras","ror":"https://ror.org/0235kyq22"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W627241244","https://openalex.org/W1974961776","https://openalex.org/W1996454863","https://openalex.org/W2025056712","https://openalex.org/W2060400620","https://openalex.org/W2108177406","https://openalex.org/W2131083149","https://openalex.org/W2163605009","https://openalex.org/W2440817021","https://openalex.org/W2586637850","https://openalex.org/W2620240181","https://openalex.org/W2760745191","https://openalex.org/W2884601889","https://openalex.org/W2886075188","https://openalex.org/W2956116148","https://openalex.org/W2972834639","https://openalex.org/W3021183467","https://openalex.org/W3095480954","https://openalex.org/W3096740308","https://openalex.org/W6676459037","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2071768959","https://openalex.org/W2746169463","https://openalex.org/W2927959334","https://openalex.org/W4382394583","https://openalex.org/W4386066124","https://openalex.org/W2290286193","https://openalex.org/W2072275629","https://openalex.org/W4319442894","https://openalex.org/W2079693677","https://openalex.org/W4372267671"],"abstract_inverted_index":{"The":[0,62,72],"increase":[1],"in":[2,5,9,75,165,168],"oil":[3],"production":[4],"Brazil,":[6],"consequently,":[7],"resulted":[8],"the":[10,13,16,19,37,41,47,50,80,94,97,102,105,108,111,120,126,131,159,169,189,193],"concern":[11],"with":[12,18,101,158],"integrity":[14],"of":[15,21,39,49,64,89,93,96,104,125,134,161,184,188,192],"platforms,":[17],"objective":[20],"avoiding":[22],"biological":[23],"and":[24,91,107,155,186],"human":[25],"society":[26],"disasters.":[27],"Most":[28],"inspections":[29],"are":[30],"carried":[31],"out":[32],"by":[33],"divers":[34],"or":[35],"performing":[36],"practice":[38],"docking":[40,45],"platform,":[42],"however,":[43],"a":[44,76,86,140,175,182],"requires":[46],"emptying":[48],"platform\u2019s":[51],"tanks,":[52],"causing":[53],"it":[54],"to":[55,84,138],"stop":[56],"producing":[57],"what":[58],"is":[59,69,74,82,113,123,137,172],"economically":[60],"unfavorable.":[61],"use":[63],"remotely":[65],"operated":[66],"vehicles":[67],"(ROVs)":[68],"increasingly":[70],"common.":[71],"operator":[73],"safe":[77],"environment":[78],"while":[79],"ROV":[81,167],"able":[83],"perform":[85],"detailed":[87],"pass":[88],"videos":[90],"images":[92,147],"hulls":[95],"floating":[98],"units.":[99],"Because":[100],"action":[103],"sea":[106],"installation":[109],"time,":[110],"tendency":[112],"that":[114,144],"these":[115],"units":[116],"suffer":[117],"degradation":[118,185],"over":[119],"years,":[121],"corrosion":[122,150],"one":[124],"most":[127],"common":[128],"degradations.":[129],"Thus,":[130],"main":[132],"contribution":[133],"this":[135],"work":[136],"present":[139],"convolutional":[141],"neural":[142],"network":[143],"classifies":[145],"underwater":[146],"into":[148],"four":[149],"levels":[151],"(high,":[152],"medium,":[153],"low":[154],"no":[156],"corrosion),":[157],"goal":[160],"embedding":[162],"classification":[163],"software":[164],"an":[166],"future.":[170],"It":[171],"also":[173],"presented":[174],"synthetic":[176],"dataset":[177],"produced,":[178],"simulating":[179],"turbidity,":[180],"through":[181],"function":[183],"alteration":[187],"variable":[190],"gamma":[191],"images.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}