{"id":"https://openalex.org/W4414420345","doi":"https://doi.org/10.1145/3731806.3731834","title":"Enhancing Global Air Quality Classification Using Efficient Machine Learning Techniques","display_name":"Enhancing Global Air Quality Classification Using Efficient Machine Learning Techniques","publication_year":2025,"publication_date":"2025-02-20","ids":{"openalex":"https://openalex.org/W4414420345","doi":"https://doi.org/10.1145/3731806.3731834"},"language":"en","primary_location":{"id":"doi:10.1145/3731806.3731834","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731806.3731834","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3731806.3731834","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 14th International Conference on Software and Computer Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3731806.3731834","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119700658","display_name":"Muhammad Haikel Nur Kamil Putra Mulyana","orcid":null},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Muhammad Haikel Nur Kamil Putra Mulyana","raw_affiliation_strings":["School of Applied Science, Telkom University, Bandung, Jawa Barat, Indonesia"],"raw_orcid":"https://orcid.org/0009-0009-3312-8370","affiliations":[{"raw_affiliation_string":"School of Applied Science, Telkom University, Bandung, Jawa Barat, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047644296","display_name":"Erna Hikmawati","orcid":"https://orcid.org/0000-0002-6162-5341"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Erna Hikmawati","raw_affiliation_strings":["School of Applied Science, Telkom University, Bandung, Jawa Barat, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-6162-5341","affiliations":[{"raw_affiliation_string":"School of Applied Science, Telkom University, Bandung, Jawa Barat, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073358140","display_name":"Rizza Indah Mega Mandasari","orcid":"https://orcid.org/0000-0002-8597-6728"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rizza Indah Mega Mandasari","raw_affiliation_strings":["School of Applied Science, Telkom University, Bandung, Jawa Barat, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-8597-6728","affiliations":[{"raw_affiliation_string":"School of Applied Science, Telkom University, Bandung, Jawa Barat, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119700658"],"corresponding_institution_ids":["https://openalex.org/I862893732"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2236209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"284","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998999834060669,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T10075","display_name":"Atmospheric chemistry and aerosols","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.5965999960899353},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.415800005197525},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.314300000667572},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.2540999948978424},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.2524000108242035}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6383000016212463},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.5965999960899353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.571399986743927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5455999970436096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4187999963760376},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.415800005197525},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C3019581552","wikidata":"https://www.wikidata.org/wiki/Q424418","display_name":"Nitrogen oxides","level":2,"score":0.2508000135421753},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731806.3731834","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731806.3731834","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3731806.3731834","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 14th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3731806.3731834","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3731806.3731834","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3731806.3731834","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 14th International Conference on Software and Computer Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330150","display_name":"Universitas Telkom","ror":"https://ror.org/0004wsx81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414420345.pdf","grobid_xml":"https://content.openalex.org/works/W4414420345.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2767823491","https://openalex.org/W2944895237","https://openalex.org/W4226017520","https://openalex.org/W4285273692","https://openalex.org/W4293428371","https://openalex.org/W4312575236","https://openalex.org/W4316015364","https://openalex.org/W4381389904","https://openalex.org/W4387682211","https://openalex.org/W4388739219","https://openalex.org/W4389042463","https://openalex.org/W4389253070","https://openalex.org/W4389333636","https://openalex.org/W4389832738","https://openalex.org/W4390848302","https://openalex.org/W4391613362","https://openalex.org/W4391889755","https://openalex.org/W4393106196","https://openalex.org/W4396941180","https://openalex.org/W4400020387","https://openalex.org/W4400306156","https://openalex.org/W4400471921","https://openalex.org/W4401001855","https://openalex.org/W4401036758","https://openalex.org/W4401333625","https://openalex.org/W4401608586","https://openalex.org/W4402009249","https://openalex.org/W4402152887","https://openalex.org/W4402606454","https://openalex.org/W4403120302","https://openalex.org/W4403551792","https://openalex.org/W4403567343","https://openalex.org/W4403659357","https://openalex.org/W4403676527","https://openalex.org/W4403707927","https://openalex.org/W4403842377"],"related_works":[],"abstract_inverted_index":{"Air":[0],"quality":[1,31],"problems":[2],"have":[3],"become":[4],"a":[5,147],"global":[6],"problem":[7],"due":[8],"to":[9,24,42,49,54,75,97,165],"an":[10],"important":[11],"impact":[12],"on":[13],"human":[14],"and":[15,79,85,110],"environmental":[16],"health.":[17],"The":[18],"goal":[19],"of":[20,28,36,125,135,155,162],"this":[21,123,127],"research":[22,145],"is":[23,73,95,103,118,146],"improve":[25],"the":[26,29,34,39,44,56,71,76,89,100,104,133,153,157,160,171],"accuracy":[27],"air":[30],"prediction":[32],"using":[33],"method":[35,124,128],"learning":[37],"with":[38,107],"machine.":[40],"How":[41],"select":[43],"features":[45],"that":[46,99],"are":[47,52],"used":[48,53,96],"receive":[50],"data":[51,137],"identify":[55],"most":[57],"involved":[58],"parameters":[59,164],"such":[60,82],"as":[61,83],"carbon":[62],"monoxide":[63],"(CO),":[64],"sulfur":[65],"dioxide":[66,69],"(SO2),":[67],"nitrogen":[68],"(NO2),":[70],"temperature":[72],"similar":[74],"industrial":[77],"area":[78],"measurement.":[80],"Efficiency,":[81],"AUC":[84,108],"MCC":[86],"K-Nearest,":[87],"two,":[88],"main":[90],"algorithm":[91],"called":[92],"neighbors":[93],"(KNN)":[94],"show":[98],"decision-making":[101],"plan":[102],"best":[105],"results":[106],"0.9380":[109],"CA":[111],"at":[112],"0.8820":[113],"while":[114],"KNN":[115],"also.":[116],"There":[117],"significant":[119],"improvement":[120],"after":[121],"selecting":[122],"choosing":[126],"not":[129],"only":[130],"But":[131],"improving":[132],"analysis":[134],"efficiency":[136],"but":[138],"still":[139],"has":[140],"more":[141,167],"accurate":[142],"predictions":[143],"This":[144],"trend":[148],"for":[149],"further":[150],"development,":[151],"including":[152],"application":[154],"all":[156],"methods":[158],"or":[159],"combination":[161],"additional":[163],"solve":[166],"complex":[168],"challenges":[169],"in":[170],"future.":[172]},"counts_by_year":[],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2025-10-10T00:00:00"}