{"id":"https://openalex.org/W2799535451","doi":"https://doi.org/10.2166/aqua.2018.105","title":"Experimental and modeling study to estimate the productivity of inclined passive solar still using ANN methodology in arid conditions","display_name":"Experimental and modeling study to estimate the productivity of inclined passive solar still using ANN methodology in arid conditions","publication_year":2018,"publication_date":"2018-05-03","ids":{"openalex":"https://openalex.org/W2799535451","doi":"https://doi.org/10.2166/aqua.2018.105","mag":"2799535451"},"language":"en","primary_location":{"id":"doi:10.2166/aqua.2018.105","doi":"https://doi.org/10.2166/aqua.2018.105","is_oa":false,"landing_page_url":"https://doi.org/10.2166/aqua.2018.105","pdf_url":null,"source":{"id":"https://openalex.org/S4210228842","display_name":"AQUA - Water Infrastructure Ecosystems and Society","issn_l":"0003-7214","issn":["0003-7214","1365-2087","1605-3974","1606-9935","2709-8028","2709-8036"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-b","jufo-1","ki-jl-1","oarl","poland-20","poland-40","russia-white-list-4"],"host_organization":"https://openalex.org/P4310320510","host_organization_name":"UWA Publishing","host_organization_lineage":["https://openalex.org/P4310320510"],"host_organization_lineage_names":["UWA Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Water Supply: Research and Technology - Aqua","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5080248748","display_name":"Ahmed F. Mashaly","orcid":"https://orcid.org/0000-0003-4105-0920","observed_orcids":["https://orcid.org/0000-0003-4105-0920"]},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Ahmed F. Mashaly","raw_affiliation_strings":["Alamoudi Water Research Chair, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alamoudi Water Research Chair, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038007393","display_name":"Abdulrahman Ali Alazba","orcid":"https://orcid.org/0000-0002-5242-3799","observed_orcids":["https://orcid.org/0000-0002-5242-3799"]},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"A. A. Alazba","raw_affiliation_strings":["Agricultural Engineering Department, King Saud University, Riyadh, Saudi Arabia","Alamoudi Water Research Chair, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agricultural Engineering Department, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"Alamoudi Water Research Chair, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080248748"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":null,"apc_paid":null,"fwci":0.1848,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.44183457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":"67","issue":"4","first_page":"332","last_page":"346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12008","display_name":"Solar-Powered Water Purification Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12008","display_name":"Solar-Powered Water Purification Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10197","display_name":"Membrane Separation Technologies","score":9.999999747378752e-05,"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":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/solar-distillation","display_name":"solar distillation","score":0.7310000061988831},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9350000023841858},{"id":"https://openalex.org/keywords/hyperarid-environments","display_name":"hyper-arid regions","score":0.7590000033378601},{"id":"https://openalex.org/keywords/multiple-linear-regression","display_name":"multiple linear regression","score":0.7049999833106995},{"id":"https://openalex.org/keywords/feed-water-temperature","display_name":"feed water temperature","score":0.7450000047683716},{"id":"https://openalex.org/keywords/total-dissolved-solids","display_name":"total dissolved solids","score":0.7350000143051147},{"id":"https://openalex.org/keywords/feed-water-flow-rate","display_name":"feedwater flow rate","score":0.7289999723434448},{"id":"https://openalex.org/keywords/solar-radiation","display_name":"solar radiation","score":0.578000009059906},{"id":"https://openalex.org/keywords/wind-speed","display_name":"wind speed","score":0.6230000257492065},{"id":"https://openalex.org/keywords/relative-humidity","display_name":"relative humidity","score":0.9169999957084656}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7202967405319214},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5887641906738281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.515021800994873},{"id":"https://openalex.org/C92047909","wikidata":"https://www.wikidata.org/wiki/Q204034","display_name":"Hyperbolic function","level":2,"score":0.5120750069618225},{"id":"https://openalex.org/C158960510","wikidata":"https://www.wikidata.org/wiki/Q180600","display_name":"Relative humidity","level":2,"score":0.5097086429595947},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4850882291793823},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.48494604229927063},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.4598430395126343},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4359491467475891},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.41626566648483276},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34768956899642944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3142404556274414},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3102723956108093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2223271131515503},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2166/aqua.2018.105","doi":"https://doi.org/10.2166/aqua.2018.105","is_oa":false,"landing_page_url":"https://doi.org/10.2166/aqua.2018.105","pdf_url":null,"source":{"id":"https://openalex.org/S4210228842","display_name":"AQUA - Water Infrastructure Ecosystems and Society","issn_l":"0003-7214","issn":["0003-7214","1365-2087","1605-3974","1606-9935","2709-8028","2709-8036"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-b","jufo-1","ki-jl-1","oarl","poland-20","poland-40","russia-white-list-4"],"host_organization":"https://openalex.org/P4310320510","host_organization_name":"UWA Publishing","host_organization_lineage":["https://openalex.org/P4310320510"],"host_organization_lineage_names":["UWA Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Water Supply: Research and Technology - Aqua","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.75,"id":"https://metadata.un.org/sdg/7"},{"display_name":"Zero hunger","score":0.6735000014305115,"id":"https://metadata.un.org/sdg/2"},{"display_name":"Clean water and sanitation","score":0.6618000268936157,"id":"https://metadata.un.org/sdg/6"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1965867673","https://openalex.org/W1970253245","https://openalex.org/W1972664823","https://openalex.org/W1983260680","https://openalex.org/W1992427258","https://openalex.org/W2001810338","https://openalex.org/W2006536606","https://openalex.org/W2007358503","https://openalex.org/W2010462266","https://openalex.org/W2013770245","https://openalex.org/W2028894631","https://openalex.org/W2029771481","https://openalex.org/W2044286499","https://openalex.org/W2050928540","https://openalex.org/W2067075389","https://openalex.org/W2071324311","https://openalex.org/W2072400988","https://openalex.org/W2084389364","https://openalex.org/W2088603326","https://openalex.org/W2094129465","https://openalex.org/W2095396960","https://openalex.org/W2124776405","https://openalex.org/W2262492602","https://openalex.org/W2288110097","https://openalex.org/W2315541773","https://openalex.org/W2467039487","https://openalex.org/W2474666361","https://openalex.org/W2581093588","https://openalex.org/W2665304925","https://openalex.org/W2728674934","https://openalex.org/W2911899508"],"related_works":["https://openalex.org/W428954969","https://openalex.org/W2944269929","https://openalex.org/W2665304925","https://openalex.org/W2474666361","https://openalex.org/W2253245642","https://openalex.org/W2029149901","https://openalex.org/W4312774352","https://openalex.org/W2767141767","https://openalex.org/W4293920719","https://openalex.org/W4401386375"],"abstract_inverted_index":{"An":[0],"artificial":[1],"neural":[2,20],"network":[3,21],"(ANN)":[4],"was":[5,26,58,67],"developed":[6],"for":[7,128,134,146,175],"predicting":[8,119],"solar":[9,41],"still":[10],"production":[11],"(MD)":[12],"under":[13],"a":[14,98,102],"hyper-arid":[15],"environment.":[16],"A":[17],"three-layer":[18],"feed-forward":[19],"based":[22],"on":[23],"back-propagation":[24],"algorithm":[25],"used":[27],"in":[28,118,154],"the":[29,74,78,84,87,111,125,135,147,155,171,176,183],"modeling":[30],"process.":[31],"The":[32,56,60,93,121,141,167],"inputs":[33],"comprise":[34],"air":[35],"temperature,":[36,45],"relative":[37,168],"humidity,":[38],"wind":[39],"speed,":[40],"radiation,":[42],"feed":[43,46,52],"water":[44,47,53],"total":[48],"dissolved":[49],"solids,":[50],"and":[51,132,137,150,164],"flow":[54],"rate.":[55],"output":[57],"MD.":[59,120,189],"ANN":[61,79,95,112,136,160,177,184],"model":[62,80,96,113,178,185],"with":[63,83,101],"optimal":[64,94],"prediction":[65,156],"performance":[66],"found":[68],"by":[69,159],"testing":[70,126],"several":[71],"networks.":[72],"Then,":[73],"findings":[75,85],"obtained":[76],"from":[77,86],"were":[81,130,161,179],"compared":[82],"multiple":[88],"linear":[89],"regression":[90],"(MLR)":[91],"model.":[92],"had":[97],"7-8-1":[99],"architecture":[100],"hyperbolic":[103],"tangent":[104],"transfer":[105],"function.":[106],"Statistical":[107],"criteria":[108],"revealed":[109],"that":[110],"performed":[114],"better":[115],"than":[116],"MLR":[117,138],"root-mean-square":[122],"errors":[123,169],"during":[124],"process":[127],"MD":[129,158,173],"0.070":[131],"0.128":[133],"models,":[139],"respectively.":[140,166],"coefficient":[142],"of":[143,157,170],"determination":[144],"values":[145,174],"training,":[148],"testing,":[149],"validation":[151],"data":[152],"sets":[153],"0.990,":[162],"0.918,":[163],"0.945,":[165],"predicted":[172],"approximately":[180],"\u00b110%.":[181],"Therefore,":[182],"can":[186],"successfully":[187],"predict":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-05-17T00:00:00"}
