{"id":"https://openalex.org/W7112938379","doi":null,"title":"ROBUST MACHINE LEARNING FOR COMPUTER VISION IN NAVAL APPLICATION","display_name":"ROBUST MACHINE LEARNING FOR COMPUTER VISION IN NAVAL APPLICATION","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W7112938379"},"language":"en","primary_location":{"id":"pmh:oai:www.repositorio.mar.mil.br:ripcmb/846372","doi":null,"is_oa":true,"landing_page_url":"https://www.repositorio.mar.mil.br/handle/ripcmb/846372","pdf_url":"https://repositorio.marinha.mil.br/bitstream/ripcmb/846372/1/Dissertacao-%20GabrielCustodioRangel.pdf","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"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":"instacron:MB","raw_type":"info:eu-repo/semantics/masterThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositorio.marinha.mil.br/bitstream/ripcmb/846372/1/Dissertacao-%20GabrielCustodioRangel.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Custodio Rangel, Gabriel","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Custodio Rangel, Gabriel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.8065999746322632,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.8065999746322632,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.1624000072479248,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.021900000050663948,"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/noisy-labels","display_name":"label noise","score":0.9369999766349792},{"id":"https://openalex.org/keywords/adversarial-attacks","display_name":"adversarial attacks","score":0.8460000157356262},{"id":"https://openalex.org/keywords/robust-machine-learning","display_name":"robust machine learning","score":0.7599999904632568},{"id":"https://openalex.org/keywords/ship-detection","display_name":"ship detection","score":0.8709999918937683},{"id":"https://openalex.org/keywords/maritime-surveillance","display_name":"maritime surveillance","score":0.9190000295639038},{"id":"https://openalex.org/keywords/coastal-monitoring","display_name":"coastal monitoring","score":0.48399999737739563}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7026000022888184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6930000185966492},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6873000264167786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6614999771118164},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5485000014305115},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.42669999599456787},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42660000920295715},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.4237000048160553},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35569998621940613},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2793999910354614},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26019999384880066}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:www.repositorio.mar.mil.br:ripcmb/846372","doi":null,"is_oa":true,"landing_page_url":"https://www.repositorio.mar.mil.br/handle/ripcmb/846372","pdf_url":"https://repositorio.marinha.mil.br/bitstream/ripcmb/846372/1/Dissertacao-%20GabrielCustodioRangel.pdf","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"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":"instacron:MB","raw_type":"info:eu-repo/semantics/masterThesis"},{"id":"pmh:oai:calhoun.nps.edu:10945/72150","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/10945/72150","pdf_url":null,"source":{"id":"https://openalex.org/S4306400952","display_name":"Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I35364215","host_organization_name":"Naval Postgraduate School","host_organization_lineage":["https://openalex.org/I35364215"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:www.repositorio.mar.mil.br:ripcmb/846372","doi":null,"is_oa":true,"landing_page_url":"https://www.repositorio.mar.mil.br/handle/ripcmb/846372","pdf_url":"https://repositorio.marinha.mil.br/bitstream/ripcmb/846372/1/Dissertacao-%20GabrielCustodioRangel.pdf","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"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":"instacron:MB","raw_type":"info:eu-repo/semantics/masterThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7112938379.pdf","grobid_xml":"https://content.openalex.org/works/W7112938379.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1498436455","https://openalex.org/W1514928307","https://openalex.org/W1686810756","https://openalex.org/W1988790447","https://openalex.org/W2009190245","https://openalex.org/W2040870580","https://openalex.org/W2079788575","https://openalex.org/W2089032497","https://openalex.org/W2112796928","https://openalex.org/W2122111042","https://openalex.org/W2149706766","https://openalex.org/W2194775991","https://openalex.org/W2535104544","https://openalex.org/W2582222835","https://openalex.org/W2591602089","https://openalex.org/W2770553941","https://openalex.org/W2783402179","https://openalex.org/W2788508747","https://openalex.org/W2794359703","https://openalex.org/W2795061970","https://openalex.org/W2903903899","https://openalex.org/W2911964244","https://openalex.org/W2950179405","https://openalex.org/W2968405839","https://openalex.org/W2970419791","https://openalex.org/W3001584250","https://openalex.org/W3042609801","https://openalex.org/W3042773772","https://openalex.org/W3204438512","https://openalex.org/W3204897066","https://openalex.org/W3216623900","https://openalex.org/W4226207566","https://openalex.org/W4239510810","https://openalex.org/W4245681537","https://openalex.org/W4281613043","https://openalex.org/W4312622035","https://openalex.org/W4318899934","https://openalex.org/W4400540323","https://openalex.org/W6977510114"],"related_works":["https://openalex.org/W4407084781","https://openalex.org/W4413925293","https://openalex.org/W4416322376","https://openalex.org/W7113209665","https://openalex.org/W7111572655","https://openalex.org/W3019422130","https://openalex.org/W4409061576","https://openalex.org/W4413308664","https://openalex.org/W4389712504","https://openalex.org/W7131069040"],"abstract_inverted_index":{"This":[0,97],"thesis":[1],"proposes":[2],"the":[3,50,100,116,121,145,152,159],"development":[4],"of":[5,45,52,120,154],"a":[6,162],"resilient":[7],"machine":[8,53],"learning":[9,54],"algorithm":[10],"that":[11,166],"can":[12,47],"classify":[13],"naval":[14,132],"images":[15],"for":[16,161],"surveillance,":[17],"search,":[18],"and":[19,85,110,118,135],"detection":[20,156],"operations":[21],"in":[22,127],"vast":[23],"coastal":[24],"areas.":[25],"However,":[26],"real-world":[27],"datasets":[28,134],"may":[29],"be":[30],"affected":[31],"by":[32],"label":[33,66],"noise":[34,67],"introduced":[35],"either":[36],"through":[37],"random":[38],"inaccuracies":[39],"or":[40],"deliberate":[41],"adversarial":[42],"attacks,":[43],"both":[44],"which":[46],"negatively":[48],"impact":[49],"accuracy":[51,139],"models.":[55],"Our":[56],"innovative":[57],"approach":[58],"employs":[59],"Rockafellian":[60],"Risk":[61],"Minimization":[62],"(RRM)":[63],"to":[64,91,131,150],"combat":[65],"contamination.":[68],"Unlike":[69],"existing":[70],"methodologies":[71],"reliant":[72],"on":[73,102],"extensively":[74],"cleaned":[75],"datasets,":[76],"our":[77],"two-step":[78],"process":[79],"involves":[80],"adjusting":[81],"neural":[82],"network":[83],"weights":[84],"manipulating":[86],"data":[87,94,104,112],"point":[88],"nominal":[89],"probabilities":[90],"isolate":[92],"potential":[93],"corruption":[95],"effectively.":[96],"technique":[98],"reduces":[99],"dependency":[101],"meticulous":[103],"cleaning,":[105],"thereby":[106],"promoting":[107],"more":[108],"efficient":[109],"time-effective":[111],"processing.":[113],"To":[114],"validate":[115],"efficacy":[117],"reliability":[119],"proposed":[122,146],"model,":[123,147],"we":[124,148],"apply":[125],"RRM":[126],"several":[128],"parameter":[129],"configurations":[130],"environment":[133],"assess":[136],"its":[137],"classification":[138],"against":[140],"traditional":[141],"methods.":[142],"By":[143],"leveraging":[144],"aim":[149],"bolster":[151],"robustness":[153],"ship":[155],"models,":[157],"paving":[158],"way":[160],"novel,":[163],"reliable":[164],"tool":[165],"could":[167],"improve":[168],"automated":[169],"maritime":[170],"surveillance":[171],"systems.":[172]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-12-10T00:00:00"}