{"id":"https://openalex.org/W3080170499","doi":"https://doi.org/10.1186/s40537-020-00343-4","title":"Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks","display_name":"Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks","publication_year":2020,"publication_date":"2020-08-24","ids":{"openalex":"https://openalex.org/W3080170499","doi":"https://doi.org/10.1186/s40537-020-00343-4","mag":"3080170499"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00343-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00343-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00343-4","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00343-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076595419","display_name":"Owusu Nyarko\u2010Boateng","orcid":"https://orcid.org/0000-0003-0300-2469"},"institutions":[{"id":"https://openalex.org/I291863076","display_name":"University of Energy and Natural Resources","ror":"https://ror.org/05r9rzb75","country_code":"GH","type":"education","lineage":["https://openalex.org/I291863076"]}],"countries":["GH"],"is_corresponding":true,"raw_author_name":"Owusu Nyarko-Boateng","raw_affiliation_strings":["Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana"],"raw_orcid":"https://orcid.org/0000-0003-0300-2469","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana","institution_ids":["https://openalex.org/I291863076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064291326","display_name":"Adebayo Felix Adekoya","orcid":"https://orcid.org/0000-0002-5029-2393"},"institutions":[{"id":"https://openalex.org/I291863076","display_name":"University of Energy and Natural Resources","ror":"https://ror.org/05r9rzb75","country_code":"GH","type":"education","lineage":["https://openalex.org/I291863076"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Adebayo Felix Adekoya","raw_affiliation_strings":["Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana","institution_ids":["https://openalex.org/I291863076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064716614","display_name":"Benjamin Asubam Weyori","orcid":"https://orcid.org/0000-0001-5422-4251"},"institutions":[{"id":"https://openalex.org/I291863076","display_name":"University of Energy and Natural Resources","ror":"https://ror.org/05r9rzb75","country_code":"GH","type":"education","lineage":["https://openalex.org/I291863076"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Benjamin Asubam Weyori","raw_affiliation_strings":["Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Informatics, University of Energy and Natural Resources, Sunyani, Ghana","institution_ids":["https://openalex.org/I291863076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076595419"],"corresponding_institution_ids":["https://openalex.org/I291863076"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.7282,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.70802115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10232","display_name":"Optical Network Technologies","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10232","display_name":"Optical Network Technologies","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10847","display_name":"Advanced Optical Network Technologies","score":0.9355999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10972","display_name":"Power Systems Fault Detection","score":0.9132000207901001,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/optical-fiber-cable","display_name":"Optical fiber cable","score":0.6055434942245483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5770031213760376},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.49967217445373535},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48361721634864807},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.46972382068634033},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.4293901324272156},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.41783949732780457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12704172730445862}],"concepts":[{"id":"https://openalex.org/C161325326","wikidata":"https://www.wikidata.org/wiki/Q197961","display_name":"Optical fiber cable","level":3,"score":0.6055434942245483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5770031213760376},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.49967217445373535},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48361721634864807},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.46972382068634033},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.4293901324272156},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.41783949732780457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12704172730445862},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-020-00343-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00343-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00343-4","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:177858c4dd9143978aa511534ade0474","is_oa":true,"landing_page_url":"https://doaj.org/article/177858c4dd9143978aa511534ade0474","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-16 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00343-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00343-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00343-4","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3080170499.pdf","grobid_xml":"https://content.openalex.org/works/W3080170499.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1492815834","https://openalex.org/W1526455201","https://openalex.org/W2487770199","https://openalex.org/W2526612499","https://openalex.org/W2560616022","https://openalex.org/W2753090725","https://openalex.org/W2753170255","https://openalex.org/W2781788077","https://openalex.org/W2786597473","https://openalex.org/W2790805934","https://openalex.org/W2798741797","https://openalex.org/W2883722872","https://openalex.org/W2888688668","https://openalex.org/W2890255136","https://openalex.org/W2890256890","https://openalex.org/W2929358450","https://openalex.org/W2941332886","https://openalex.org/W2948954099","https://openalex.org/W2962994110","https://openalex.org/W2963763250","https://openalex.org/W2970176269","https://openalex.org/W2993621437","https://openalex.org/W2996890301","https://openalex.org/W2997641630","https://openalex.org/W3000934781","https://openalex.org/W3005289986","https://openalex.org/W3007996424","https://openalex.org/W3008004731","https://openalex.org/W3101887461","https://openalex.org/W3103211661","https://openalex.org/W3105291792"],"related_works":["https://openalex.org/W2306959962","https://openalex.org/W2370114301","https://openalex.org/W2321167413","https://openalex.org/W2031008169","https://openalex.org/W2367576053","https://openalex.org/W2365139925","https://openalex.org/W574086619","https://openalex.org/W2381963194","https://openalex.org/W2357444442","https://openalex.org/W1585126966"],"abstract_inverted_index":{"Abstract":[0],"Fiber":[1,30],"optics":[2],"cable":[3,18,31,56,78,136,245],"has":[4,32,58],"been":[5,33],"adopted":[6],"by":[7],"telecommunication":[8],"companies":[9],"worldwide":[10],"as":[11,62],"the":[12,77,110,115,118,130,139,155,164,170,175,187,191,198,201,204,210,214,218,223,229,233,240],"primary":[13],"medium":[14],"of":[15,67,99,112,124,132,141,157,163,177,200,228,242],"transmission.":[16],"The":[17,71,97,121,161,226],"is":[19,73,103,167,236],"steadily":[20],"replacing":[21],"long-haul":[22],"microwave,":[23],"copper":[24],"cable,":[25],"and":[26,39,52,75,93,105,114,143,150,203],"satellite":[27],"transmissions":[28],"systems.":[29],"deployed":[34],"in":[35,46,82,247],"an":[36,179],"underground,":[37],"submarine,":[38],"aerial":[40],"architecture":[41],"to":[42,64,128,153,169,186,207,221],"transmit":[43],"high-speed":[44],"signals":[45],"intercontinental,":[47],"inter":[48,50],"countries,":[49],"cities":[51],"intra-cities.":[53],"Underground":[54],"fiber":[55,68,135,244],"transmission":[57,69],"experienced":[59],"major":[60],"failures":[61,102],"compared":[63],"other":[65,94],"mediums":[66],"infrastructure.":[70],"failure":[72,113,202],"rampant,":[74],"especially":[76],"get":[79],"cuts":[80],"frequently":[81],"areas":[83],"where":[84],"there":[85],"are":[86],"road":[87,89,90],"constructions,":[88],"expansion":[91],"projects,":[92],"developmental":[95],"projects.":[96],"cost":[98,131,156,176,219,241],"repairing":[100,133,158,178,243],"these":[101],"enormous,":[104],"it":[106],"largely":[107],"depends":[108],"on":[109,195],"cause":[111,140,199],"geographical":[116],"area":[117],"faults":[119],"occurred.":[120],"main":[122],"aim":[123],"this":[125],"paper":[126],"was":[127],"investigate":[129],"underground":[134,180,248],"failures,":[137],"clustered":[138],"faults,":[142],"then":[144],"used":[145],"feedforward":[146],"neural":[147],"networks":[148,182],"(FFNN)":[149],"linear":[151],"regression":[152],"predict":[154],"future":[159],"faults.":[160],"result":[162,230],"predictive":[165,211,234],"model":[166,212,235],"significant":[168],"telecommunications":[171],"industry,":[172],"which":[173,196],"means":[174],"optical":[181,249],"will":[183],"be":[184],"known":[185],"industry":[188],"players":[189],"before":[190],"fault":[192],"occurs.":[193],"depending":[194],"area,":[197],"mean":[205],"time":[206],"repair":[208,222],"(MTTR),":[209],"tells":[213],"mobile":[215],"network":[216],"operators":[217],"involved":[220],"damaged":[224],"cable.":[225],"accuracy":[227],"obtained":[231],"indicates":[232],"good":[237],"for":[238],"predicting":[239],"cut":[246],"networks.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}