{"id":"https://openalex.org/W4408282087","doi":"https://doi.org/10.1109/iecon55916.2024.10905827","title":"Artificial Neural Network SoftSensor for Water Distribution Networks","display_name":"Artificial Neural Network SoftSensor for Water Distribution Networks","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408282087","doi":"https://doi.org/10.1109/iecon55916.2024.10905827"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045568476","display_name":"David Emanuel Gomes","orcid":"https://orcid.org/0000-0002-9326-865X"},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"education","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"David Emanuel Gomes","raw_affiliation_strings":["University of Beira Interior,C-MAST - Center for Mechanical and Aerospace Science and Technologies,Dept. of Electromechanical Engineering,Covilhã,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Beira Interior,C-MAST - Center for Mechanical and Aerospace Science and Technologies,Dept. of Electromechanical Engineering,Covilhã,Portugal","institution_ids":["https://openalex.org/I161321875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040333576","display_name":"Ant\u00f3nio Esp\u00edrito-Santo","orcid":"https://orcid.org/0000-0002-9540-8900"},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"education","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ant\u00f3nio Esp\u00edrito Santo","raw_affiliation_strings":["University of Beira Interior,IT - Institute of Telecommunications,Dept. of Electromechanical Engineering,Covilhã,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Beira Interior,IT - Institute of Telecommunications,Dept. of Electromechanical Engineering,Covilhã,Portugal","institution_ids":["https://openalex.org/I161321875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055862255","display_name":"Jos\u00e9 P\u00e1scoa","orcid":"https://orcid.org/0000-0001-7019-3766"},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"education","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 P\u00e1scoa","raw_affiliation_strings":["University of Beira Interior,C-MAST - Center for Mechanical and Aerospace Science and Technologies,Dept. of Electromechanical Engineering,Covilhã,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Beira Interior,C-MAST - Center for Mechanical and Aerospace Science and Technologies,Dept. of Electromechanical Engineering,Covilhã,Portugal","institution_ids":["https://openalex.org/I161321875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161321875"],"apc_list":null,"apc_paid":null,"fwci":5.7563,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96701871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9796000123023987,"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":0.9796000123023987,"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/T11220","display_name":"Water Systems and Optimization","score":0.9761000275611877,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9678999781608582,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6833949089050293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881956219673157},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.45890846848487854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39251625537872314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10894465446472168}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6833949089050293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881956219673157},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.45890846848487854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39251625537872314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10894465446472168},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon55916.2024.10905827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.7300000190734863,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330374","display_name":"Foundation for Science and Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2000651380","https://openalex.org/W2028857324","https://openalex.org/W2143841384","https://openalex.org/W2518003110","https://openalex.org/W2524876898","https://openalex.org/W2750024500","https://openalex.org/W2785917237","https://openalex.org/W2936712315","https://openalex.org/W2951718629","https://openalex.org/W3015790446","https://openalex.org/W3033672787","https://openalex.org/W3041270786","https://openalex.org/W3192714106","https://openalex.org/W4224236133","https://openalex.org/W4224241464","https://openalex.org/W4313478482","https://openalex.org/W4324383798","https://openalex.org/W4366157693","https://openalex.org/W4377028308","https://openalex.org/W4382814921","https://openalex.org/W4383376837","https://openalex.org/W4384817660","https://openalex.org/W4385839547","https://openalex.org/W4386435286","https://openalex.org/W4387063633","https://openalex.org/W4388721140","https://openalex.org/W4406763198","https://openalex.org/W6794712816"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Water":[0],"distribution":[1],"networks":[2],"(WDNs)":[3],"are":[4],"critical":[5],"infrastructure,":[6],"delivering":[7],"a":[8,23,28,52,81,121,129,135],"vital":[9],"resource":[10],"yet":[11],"facing":[12],"challenges":[13],"in":[14,138],"monitoring":[15],"and":[16,73,147],"maintaining":[17],"optimal":[18],"performance.":[19],"This":[20,60,95],"paper":[21],"proposes":[22],"new":[24],"methodology":[25],"to":[26],"develop":[27],"softsensor":[29,44,97],"(SS)":[30],"for":[31,67,107,141],"WDNs":[32],"that":[33,55,104],"leverages":[34],"the":[35,46,50,57,63,88,93,110,154],"power":[36],"of":[37,49,92,132],"Artificial":[38],"Neural":[39],"Networks":[40],"(ANNs).":[41],"The":[42,76],"proposed":[43,155],"integrates":[45],"digital":[47],"twin":[48],"WDN,":[51],"virtual":[53],"replica":[54],"mirrors":[56],"physical":[58,64],"network.":[59],"approach":[61],"minimizes":[62],"sensors":[65,103],"needed":[66],"data":[68,106],"acquisition,":[69],"reducing":[70],"hardware":[71],"costs":[72],"maintenance":[74,149],"complexities.":[75],"ANN":[77,111],"is":[78],"trained":[79],"using":[80],"Computational":[82],"Fluid":[83],"Dynamics":[84],"(CFD)":[85],"dataset,":[86],"capturing":[87],"intricate":[89],"hydraulic":[90],"behavior":[91],"WDN.":[94],"ANN-based":[96],"offers":[98],"unique":[99],"advantages.":[100],"Unlike":[101],"traditional":[102],"provide":[105],"specific":[108],"locations,":[109],"can":[112,151],"estimate":[113],"parameters":[114],"at":[115],"different":[116],"network":[117],"points":[118],"based":[119],"on":[120],"single":[122],"unknown":[123],"value":[124],"queried.":[125],"Our":[126],"evaluation":[127],"reveals":[128],"remarkable":[130],"accuracy":[131],"99%,":[133],"signifying":[134],"significant":[136],"advancement":[137],"predictive":[139],"capabilities":[140],"WDNs.":[142],"Real-time":[143],"monitoring,":[144],"anomaly":[145],"detection,":[146],"proactive":[148],"strategies":[150],"benefit":[152],"from":[153],"methodology.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}