{"id":"https://openalex.org/W4392565348","doi":"https://doi.org/10.3103/s0146411624010085","title":"Eamlm: Enhanced Automated Machine Learning Model for IoT Based Water Quality Analysis with Real-Time Dataset","display_name":"Eamlm: Enhanced Automated Machine Learning Model for IoT Based Water Quality Analysis with Real-Time Dataset","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4392565348","doi":"https://doi.org/10.3103/s0146411624010085"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411624010085","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411624010085","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-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/A5067694149","display_name":"Dilip Kumar","orcid":"https://orcid.org/0000-0003-4858-8440"},"institutions":[{"id":"https://openalex.org/I2800849556","display_name":"American College, Madurai","ror":"https://ror.org/01b1fn946","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800849556"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"D. Senthil Kumar","raw_affiliation_strings":["Department of Data Science, The American College, Madurai, India"],"affiliations":[{"raw_affiliation_string":"Department of Data Science, The American College, Madurai, India","institution_ids":["https://openalex.org/I2800849556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079149842","display_name":"S. S. Arumugam","orcid":"https://orcid.org/0000-0002-8027-4241"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. S. Arumugam","raw_affiliation_strings":["Department of Computer Science and Engineering, Saveetha School of Engineering, SIMTAS, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha School of Engineering, SIMTAS, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102626492","display_name":"Lordwin Cecil Prabhaker M.","orcid":null},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Lordwin Cecil Prabhaker M.","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (Deemed University), Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (Deemed University), Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I1330855593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104594265","display_name":"Daisy Merina. R","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Daisy Merina R.","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Anna University Regional Campus Madurai, Madurai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Anna University Regional Campus Madurai, Madurai, India","institution_ids":["https://openalex.org/I33585257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067694149","https://openalex.org/A5079149842","https://openalex.org/A5102626492","https://openalex.org/A5104594265"],"corresponding_institution_ids":["https://openalex.org/I1330855593","https://openalex.org/I2800849556","https://openalex.org/I33585257","https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":1.0016,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72587067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"58","issue":"1","first_page":"66","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9731000065803528,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9484000205993652,"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/computer-science","display_name":"Computer science","score":0.9258593916893005},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.527310311794281},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5146849751472473},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.497894287109375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46444278955459595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39203426241874695},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2754368185997009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9258593916893005},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.527310311794281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5146849751472473},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.497894287109375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46444278955459595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39203426241874695},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2754368185997009},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411624010085","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411624010085","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.8399999737739563,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1997333234","https://openalex.org/W2091285843","https://openalex.org/W2092902259","https://openalex.org/W2118247034","https://openalex.org/W2119646709","https://openalex.org/W2138095805","https://openalex.org/W2249389501","https://openalex.org/W2399243360","https://openalex.org/W2726276097","https://openalex.org/W2792243774","https://openalex.org/W2895964884","https://openalex.org/W2902648812","https://openalex.org/W2902743522","https://openalex.org/W3042073441","https://openalex.org/W3086820554","https://openalex.org/W4234078542","https://openalex.org/W4297848377","https://openalex.org/W4367850228","https://openalex.org/W4386748355"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"In":[0,121],"the":[1,4,10,15,34,65,77,99,103,111,123,129,155,169],"present":[2],"decade,":[3],"quality":[5,48,78],"of":[6,14,18,70,80,105,114,132],"water":[7,21,47,81,115],"has":[8,24],"become":[9],"major":[11],"concern,":[12],"because":[13],"rapid":[16],"increase":[17],"pollution":[19],"on":[20,42],"resources.":[22],"This":[23],"been":[25],"a":[26,40],"great":[27],"threat":[28],"for":[29,46,151],"all":[30],"living":[31],"beings":[32],"in":[33],"planet.":[35],"Hence,":[36],"there":[37],"is":[38,126,146,157],"always":[39],"demand":[41],"an":[43,56],"efficient":[44],"model":[45,61,67,97,156],"analysis.":[49],"With":[50],"that":[51,168],"note,":[52],"this":[53],"paper":[54],"develops":[55],"enhanced":[57],"automated":[58],"machine":[59,106],"learning":[60,107],"called":[62],"EAMLM.":[63],"Moreover,":[64],"proposed":[66],"utilized":[68],"Internet":[69],"Things":[71],"(IoT)":[72],"based":[73,135],"sensors":[74],"to":[75,109],"obtain":[76],"factors":[79],"such":[82],"as":[83],"pH":[84],"rate,":[85],"temperature,":[86],"nitrogen,":[87],"phosphorous,":[88],"total":[89,92],"hardness":[90],"and":[91,138,154,159],"dissolved":[93],"solids":[94],"(TDS).":[95],"The":[96,164],"integrates":[98],"IoT":[100],"analysis":[101],"with":[102,128],"operations":[104],"methods":[108],"evaluate":[110],"real-time":[112],"data":[113],"samples":[116],"obtained":[117],"from":[118],"local":[119],"areas.":[120],"particular,":[122],"EAMLM":[124,170],"algorithm":[125],"framed":[127],"combined":[130],"efficiencies":[131],"modified":[133],"ranking":[134],"K-nearest":[136],"neighbors":[137],"random":[139],"forest":[140],"(RF)":[141],"model.":[142],"Further,":[143],"Raspberry":[144],"Pi3":[145],"low":[147],"cost":[148],"kit":[149],"embedded":[150],"sample":[152],"testing":[153],"simulated":[158],"evaluated":[160],"using":[161],"WEKA":[162],"tool.":[163],"classification":[165],"results":[166],"show":[167],"provided":[171],"better":[172],"accuracy":[173],"than":[174],"other":[175],"traditional":[176],"models.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
