{"id":"https://openalex.org/W4408199808","doi":"https://doi.org/10.1109/cisp-bmei64163.2024.10906267","title":"Using Random Forest to Estimate Low-Cost Sensor PM<sub>2</sub>.<sub>5</sub> from MODIS MAIAC AOD in Kampala","display_name":"Using Random Forest to Estimate Low-Cost Sensor PM<sub>2</sub>.<sub>5</sub> from MODIS MAIAC AOD in Kampala","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4408199808","doi":"https://doi.org/10.1109/cisp-bmei64163.2024.10906267"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei64163.2024.10906267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei64163.2024.10906267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5014863511","display_name":"Priscilla Adong","orcid":"https://orcid.org/0000-0002-4884-3387"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Priscilla Adong","raw_affiliation_strings":["SFI Centre for Research Training in Machine,Learning,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SFI Centre for Research Training in Machine,Learning,Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005100701","display_name":"Arjun Pakrashi","orcid":"https://orcid.org/0000-0002-9605-6839"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Arjun Pakrashi","raw_affiliation_strings":["School of Computer Science, University College,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011772990","display_name":"Soumyabrata Dev","orcid":"https://orcid.org/0000-0002-0153-1095"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soumyabrata Dev","raw_affiliation_strings":["SFI Centre for Research Training in Machine,Learning,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SFI Centre for Research Training in Machine,Learning,Ireland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45406686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9872000217437744,"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":0.9872000217437744,"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/random-forest","display_name":"Random forest","score":0.5584186911582947},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4735778272151947},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4653053879737854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2585381865501404},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25266361236572266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09326380491256714}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5584186911582947},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4735778272151947},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4653053879737854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2585381865501404},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25266361236572266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09326380491256714}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei64163.2024.10906267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei64163.2024.10906267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G4685640629","display_name":null,"funder_award_id":"18/CRT/6183,13/RC/2106_P2","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1173523477","https://openalex.org/W2804076223","https://openalex.org/W2946851222","https://openalex.org/W3000363797","https://openalex.org/W3127316670","https://openalex.org/W3138360497","https://openalex.org/W3177082483","https://openalex.org/W3182706339","https://openalex.org/W3202607781","https://openalex.org/W4285092894","https://openalex.org/W4286742053","https://openalex.org/W4312038417","https://openalex.org/W4319655889","https://openalex.org/W4320492396","https://openalex.org/W4321021220","https://openalex.org/W4386214864","https://openalex.org/W4387803925","https://openalex.org/W4388153005","https://openalex.org/W4388739164","https://openalex.org/W4399766727","https://openalex.org/W4402258823"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W3033346322"],"abstract_inverted_index":{"Air":[0],"pollution,":[1],"particularly,":[2],"fine":[3],"particulate":[4],"matter":[5],"(PM2.5),":[6],"poses":[7],"significant":[8],"health":[9,200],"risks":[10],"in":[11,43,135,149,176,189,207],"urban":[12,137,170,187,204],"areas":[13,188],"of":[14,106,117,122,142,159],"developing":[15,36,208],"countries.":[16,209],"However,":[17],"many":[18],"such":[19,98],"regions":[20],"lack":[21],"comprehensive":[22],"ground-based":[23,59],"air":[24,146,161,173,205],"quality":[25,147,162,174],"monitoring":[26,148,163],"networks.":[27],"This":[28,153],"study":[29],"aims":[30],"to":[31,39,80,89,132,156,196],"address":[32,197],"this":[33,143],"gap":[34],"by":[35],"a":[37,120],"method":[38],"estimate":[40],"daily":[41],"PM2.5concentrations":[42],"Kampala,":[44],"Uganda,":[45],"using":[46,93],"satellite-derived":[47],"Aerosol":[48],"Optical":[49],"Depth":[50],"(AOD)":[51],"data":[52,74,150],"and":[53,95,104,119,165,172,191],"machine":[54],"learning":[55],"techniques.":[56],"We":[57],"combined":[58],"PM2.5measurements":[60],"from":[61],"low-cost":[62],"sensors":[63],"at":[64],"Makerere":[65],"University":[66],"with":[67,203],"1":[68],"km":[69],"resolution":[70],"MODIS":[71],"MAIAC":[72],"AOD":[73,94],"for":[75,145,169,185],"the":[76,107,125,140,157,198],"period":[77],"January":[78],"2022":[79],"December":[81],"2023.":[82],"A":[83],"Random":[84],"Forest":[85],"model":[86,110],"was":[87],"developed":[88],"predict":[90],"PM2.5":[91],"concentrations":[92],"auxiliary":[96],"variables":[97],"as":[99],"columnar":[100],"water":[101],"vapour,":[102],"month,":[103],"day":[105],"week.":[108],"The":[109,178],"demonstrated":[111],"good":[112],"performance,":[113],"achieving":[114],"an":[115],"R2":[116],"0.62":[118],"correlation":[121],"0.79":[123],"on":[124],"test":[126],"dataset.":[127],"These":[128],"results":[129],"are":[130],"comparable":[131],"similar":[133,192],"studies":[134],"other":[136,186],"areas,":[138],"highlighting":[139],"potential":[141],"approach":[144,179],"scarce":[151],"regions.":[152],"research":[154],"contributes":[155],"development":[158],"cost-effective":[160],"methods":[164],"provides":[166],"valuable":[167],"information":[168],"planning":[171],"management":[175],"Kampala.":[177],"presented":[180],"here":[181],"can":[182],"be":[183],"adapted":[184],"Uganda":[190],"contexts,":[193],"supporting":[194],"efforts":[195],"public":[199],"challenges":[201],"associated":[202],"pollution":[206]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
