{"id":"https://openalex.org/W2943554937","doi":"https://doi.org/10.1145/3310986.3311026","title":"Fuzzy Neuro Approach to Water Management Systems","display_name":"Fuzzy Neuro Approach to Water Management Systems","publication_year":2019,"publication_date":"2019-01-25","ids":{"openalex":"https://openalex.org/W2943554937","doi":"https://doi.org/10.1145/3310986.3311026","mag":"2943554937"},"language":"en","primary_location":{"id":"doi:10.1145/3310986.3311026","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3310986.3311026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Machine Learning and Soft Computing","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/A5016746649","display_name":"Aditi Kambli","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditi Kambli","raw_affiliation_strings":["Undergraduate Student, Indian Institute of Technology Kharagpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Undergraduate Student, Indian Institute of Technology Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076416158","display_name":"Stuti Modi","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Stuti Modi","raw_affiliation_strings":["Undergraduate Student, Indian Institute of Technology Kharagpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Undergraduate Student, Indian Institute of Technology Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03225806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9898999929428101,"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":0.9898999929428101,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10969","display_name":"Water resources management and optimization","score":0.9617999792098999,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.7182328701019287},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5797877907752991},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5521767735481262},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.549152135848999},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5255944728851318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4859065115451813},{"id":"https://openalex.org/keywords/water-resources","display_name":"Water resources","score":0.4625183343887329},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4483352303504944},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.39378997683525085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182328701019287},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5797877907752991},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5521767735481262},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.549152135848999},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5255944728851318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4859065115451813},{"id":"https://openalex.org/C153823671","wikidata":"https://www.wikidata.org/wiki/Q1049799","display_name":"Water resources","level":2,"score":0.4625183343887329},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4483352303504944},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.39378997683525085},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3310986.3311026","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3310986.3311026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.7900000214576721,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W111796927","https://openalex.org/W912382818","https://openalex.org/W1509426101","https://openalex.org/W1987941715","https://openalex.org/W1992311063","https://openalex.org/W1994888000","https://openalex.org/W1996406283","https://openalex.org/W2001168879","https://openalex.org/W2016722587","https://openalex.org/W2055126165","https://openalex.org/W2064672371","https://openalex.org/W2081051818","https://openalex.org/W2122722067","https://openalex.org/W2129012061","https://openalex.org/W2146964617","https://openalex.org/W2157543243","https://openalex.org/W2603054076","https://openalex.org/W2765538501","https://openalex.org/W2912565176","https://openalex.org/W3082933811","https://openalex.org/W4237200794"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W3207109968","https://openalex.org/W2133615482","https://openalex.org/W135622916","https://openalex.org/W829773823","https://openalex.org/W2937114745"],"abstract_inverted_index":{"This":[0],"paper":[1,52,131],"addresses":[2],"the":[3,56,81,97,108,119,123,130],"need":[4],"for":[5,23],"intelligent":[6],"water":[7,22,75,125,135],"management":[8],"and":[9,19,25,44,61,66,70,86,93,99,103,113,144],"distribution":[10,20],"system":[11],"in":[12,118],"smart":[13],"cities":[14],"to":[15,54,73,84,104,139],"ensure":[16],"optimal":[17],"consumption":[18],"of":[21,35,50,58,63,80,90,96,107,122],"drinking":[24],"sanitation":[26],"purposes":[27],"using":[28,137],"two":[29],"mostly":[30],"widely":[31],"used":[32],"particular":[33],"types":[34,60],"data":[36],"driven":[37],"models,":[38],"namely":[39],"recurrent":[40],"neural":[41,64,109],"networks":[42],"(RNN)":[43],"fuzzy":[45,67,111],"logic-based":[46],"models..":[47],"The":[48],"objective":[49],"this":[51,129],"is":[53,83],"review":[55,82],"principles":[57],"various":[59],"architectures":[62],"network":[65],"adaptive":[68],"systems":[69,112],"their":[71,91],"applications":[72],"integrated":[74],"resources":[76],"management.":[77,126],"Final":[78],"goal":[79],"expose":[85],"formulate":[87],"progressive":[88],"direction":[89],"applicability":[92,106],"further":[94],"research":[95],"AI-related":[98],"data-driven":[100],"techniques":[101,117],"application":[102],"demonstrate":[105],"networks,":[110],"other":[114],"machine":[115],"learning":[116],"practical":[120],"issues":[121],"regional":[124],"Apart":[127],"from":[128],"will":[132],"deal":[133],"with":[134],"storage,":[136],"RNN":[138],"find":[140],"optimum":[141],"reservoir":[142],"level":[143],"predicting":[145],"peak":[146],"daily":[147],"demands.":[148]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}