{"id":"https://openalex.org/W3089054406","doi":"https://doi.org/10.1109/is48319.2020.9200137","title":"Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art","display_name":"Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3089054406","doi":"https://doi.org/10.1109/is48319.2020.9200137","mag":"3089054406"},"language":"en","primary_location":{"id":"doi:10.1109/is48319.2020.9200137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is48319.2020.9200137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 10th International Conference on Intelligent Systems (IS)","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/A5083056452","display_name":"Raheleh Jafari","orcid":"https://orcid.org/0000-0001-7298-2363"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Raheleh Jafari","raw_affiliation_strings":["School of design, University of Leeds, Leeds, UK"],"affiliations":[{"raw_affiliation_string":"School of design, University of Leeds, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047503590","display_name":"Sina Razvarz","orcid":"https://orcid.org/0000-0003-1549-7307"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Sina Razvarz","raw_affiliation_strings":["Departamento de Control Automatico, CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Departamento de Control Automatico, CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016380950","display_name":"Alexander Gegov","orcid":"https://orcid.org/0000-0002-6166-296X"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexander Gegov","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078451195","display_name":"Boriana Vatchova","orcid":"https://orcid.org/0000-0002-2073-7670"},"institutions":[{"id":"https://openalex.org/I24768866","display_name":"Bulgarian Academy of Sciences","ror":"https://ror.org/01x8hew03","country_code":"BG","type":"funder","lineage":["https://openalex.org/I24768866"]},{"id":"https://openalex.org/I4210163063","display_name":"Institute of Information and Communication Technologies","ror":"https://ror.org/05fpsjc82","country_code":"BG","type":"facility","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210163063"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Boriana Vatchova","raw_affiliation_strings":["Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Sofia, Bulgaria","institution_ids":["https://openalex.org/I4210163063","https://openalex.org/I24768866"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083056452"],"corresponding_institution_ids":["https://openalex.org/I130828816"],"apc_list":null,"apc_paid":null,"fwci":0.9858,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.73108489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11220","display_name":"Water Systems and Optimization","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/pipeline","display_name":"Pipeline (software)","score":0.8060674667358398},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7562395930290222},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.6951121091842651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6824691295623779},{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.6690561771392822},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6528887748718262},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5431482195854187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4707786738872528},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.46362781524658203},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24034669995307922}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.8060674667358398},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7562395930290222},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.6951121091842651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824691295623779},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.6690561771392822},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6528887748718262},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5431482195854187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4707786738872528},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.46362781524658203},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24034669995307922},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/is48319.2020.9200137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is48319.2020.9200137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 10th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:156089","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1502565134","https://openalex.org/W1568942855","https://openalex.org/W1588282782","https://openalex.org/W1995341919","https://openalex.org/W1998561786","https://openalex.org/W2074355996","https://openalex.org/W2081378755","https://openalex.org/W2156163116","https://openalex.org/W2157540476","https://openalex.org/W2164487011","https://openalex.org/W2169805405","https://openalex.org/W2305194662","https://openalex.org/W2570143501","https://openalex.org/W2742952027","https://openalex.org/W2770533333","https://openalex.org/W2885483031","https://openalex.org/W2889412409","https://openalex.org/W2898554477","https://openalex.org/W2946803445","https://openalex.org/W2969830483","https://openalex.org/W6746429748","https://openalex.org/W6767557276"],"related_works":["https://openalex.org/W4380433113","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2390529043","https://openalex.org/W3183901164","https://openalex.org/W2378320433","https://openalex.org/W2358343511","https://openalex.org/W2051877971","https://openalex.org/W1970117064","https://openalex.org/W3135818718"],"abstract_inverted_index":{"Pipelines":[0],"have":[1],"been":[2],"extensively":[3],"implemented":[4],"to":[5,29,58,67,74,84],"transfer":[6],"oil":[7],"as":[8,10,16],"well":[9],"gas":[11],"products":[12],"at":[13],"wide":[14],"distances":[15],"they":[17],"are":[18,42,118],"safe,":[19],"and":[20,36,80],"suitable.":[21],"However,":[22],"numerous":[23],"sorts":[24],"of":[25,72,94,104,116],"damages":[26],"may":[27],"happen":[28],"the":[30,49,69,75,86,102,113],"pipeline,":[31,76],"for":[32,108],"instance":[33],"erosion,":[34],"cracks,":[35],"dent.":[37],"Hence,":[38],"if":[39],"these":[40],"faults":[41],"not":[43],"properly":[44],"refit":[45],"will":[46],"result":[47],"in":[48,82],"pipeline":[50,110],"demolitions":[51],"having":[52],"leak":[53],"or":[54],"segregation":[55],"which":[56],"leads":[57],"tremendously":[59],"environment":[60],"risks.":[61],"Deep":[62],"learning":[63,96,106],"methods":[64],"aid":[65],"operators":[66],"recognize":[68],"earliest":[70,114],"phases":[71],"threats":[73,117],"supplying":[77],"them":[78],"time":[79],"information":[81],"order":[83],"handle":[85],"problem":[87],"efficiently.":[88],"This":[89],"paper":[90],"illustrates":[91],"fundamental":[92],"implications":[93],"deep":[95,105],"comprising":[97],"convolutional":[98],"neural":[99],"networks.":[100],"Furthermore":[101],"usages":[103],"approaches":[107],"hampering":[109],"detriment":[111],"through":[112],"diagnosis":[115],"introduced.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
