{"id":"https://openalex.org/W2083276499","doi":"https://doi.org/10.1109/civemsa.2014.6841445","title":"Underground water dam levels and energy consumption prediction using computational intelligence techniques","display_name":"Underground water dam levels and energy consumption prediction using computational intelligence techniques","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2083276499","doi":"https://doi.org/10.1109/civemsa.2014.6841445","mag":"2083276499"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2014.6841445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2014.6841445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","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/A5107880477","display_name":"Ali N. Hasan","orcid":"https://orcid.org/0000-0001-5000-4833"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Ali N Hasan","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Johannesburg, South Africa","The Center for Intelligent System Modeling (CISM), Department of Electrical and Electronic Engineering University of Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"The Center for Intelligent System Modeling (CISM), Department of Electrical and Electronic Engineering University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073968263","display_name":"Bhekisipho Twala","orcid":"https://orcid.org/0000-0002-3452-9581"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Bhekisipho Twala","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Johannesburg, South Africa","The Center for Intelligent System Modeling (CISM), Department of Electrical and Electronic Engineering University of Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"The Center for Intelligent System Modeling (CISM), Department of Electrical and Electronic Engineering University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066130528","display_name":"Tshilidzi Marwala","orcid":"https://orcid.org/0000-0001-7372-5510"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Tshilidzi Marwala","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Johannesburg, South Africa","The Center for Intelligent System Modeling (CISM), Department of Electrical and Electronic Engineering University of Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"The Center for Intelligent System Modeling (CISM), Department of Electrical and Electronic Engineering University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107880477"],"corresponding_institution_ids":["https://openalex.org/I24027795"],"apc_list":null,"apc_paid":null,"fwci":0.5673,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7332376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"94","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12293","display_name":"Dam Engineering and Safety","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T12293","display_name":"Dam Engineering and Safety","score":0.9944000244140625,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9854000210762024,"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"}},{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.9835000038146973,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7897863388061523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661655843257904},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.656794548034668},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5836671590805054},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5618234276771545},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.520629346370697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5128212571144104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47917333245277405},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.46317628026008606},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4526016116142273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44503605365753174},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1947672963142395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15655392408370972},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13297158479690552},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.07657232880592346}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7897863388061523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661655843257904},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.656794548034668},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5836671590805054},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5618234276771545},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.520629346370697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5128212571144104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47917333245277405},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.46317628026008606},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4526016116142273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44503605365753174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1947672963142395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15655392408370972},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13297158479690552},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.07657232880592346},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa.2014.6841445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2014.6841445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W836650286","https://openalex.org/W1513496490","https://openalex.org/W1565377632","https://openalex.org/W1979050381","https://openalex.org/W2084439920","https://openalex.org/W2184981534","https://openalex.org/W2899835905","https://openalex.org/W2953965357","https://openalex.org/W2968744947","https://openalex.org/W4285719527","https://openalex.org/W6623441397","https://openalex.org/W6686480937","https://openalex.org/W6767050217"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4385770464","https://openalex.org/W2537862391","https://openalex.org/W3125536479","https://openalex.org/W2417174640","https://openalex.org/W3120363735","https://openalex.org/W4214820172"],"abstract_inverted_index":{"Three":[0],"computational":[1,42,53],"intelligence":[2,43,54],"algorithms":[3],"(k-nearest":[4],"neighbors,":[5],"a":[6,16],"na\u00efve":[7,83],"Bayes'":[8,84],"classifier,":[9],"and":[10,23,28,61,82,94],"decision":[11,80],"trees)":[12],"were":[13],"applied":[14],"on":[15],"double":[17],"pump":[18],"station":[19],"mine":[20],"to":[21,36,58,73],"monitor":[22],"predict":[24],"the":[25,38,48],"dam":[26,92],"levels":[27,93],"energy":[29,64,96],"consumption.":[30,65,97],"This":[31],"work":[32],"was":[33],"carried":[34],"out":[35],"inspect":[37],"feasibility":[39],"of":[40,47,89],"using":[41],"in":[44,87],"certain":[45],"aspects":[46],"mining":[49],"industry.":[50],"If":[51],"successful,":[52],"systems":[55],"could":[56],"lead":[57],"improved":[59],"safety":[60],"reduced":[62],"electrical":[63],"The":[66],"results":[67],"show":[68],"k":[69],"nearest":[70],"neighbors'":[71],"technique":[72],"be":[74],"more":[75],"efficient":[76],"when":[77],"compared":[78],"with":[79],"trees,":[81],"classifier":[85],"techniques":[86],"terms":[88],"predicting":[90],"underground":[91],"pumps":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
