{"id":"https://openalex.org/W7204361286","doi":null,"title":"Colours-of-the-Wind (COLD): A novel framework for image-based air quality prediction using deep learning and spatial-temporal analytics","display_name":"Colours-of-the-Wind (COLD): A novel framework for image-based air quality prediction using deep learning and spatial-temporal analytics","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W7204361286"},"language":"en","primary_location":{"id":"pmh:oai:uwe-repository.worktribe.com:13649079","doi":null,"is_oa":true,"landing_page_url":"https://uwe-repository.worktribe.com/output/13649079","pdf_url":"https://uwe-repository.worktribe.com/preview/14704267/Thesis%20%28final%20approved%20version%29.pdf","source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://uwe-repository.worktribe.com/preview/14704267/Thesis%20%28final%20approved%20version%29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148327757","display_name":"Kenneth Chan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chan, Kenneth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5148327757"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":1.0,"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":1.0,"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":0.0,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/air-quality-forecasting","display_name":"air quality forecasting","score":0.9129999876022339},{"id":"https://openalex.org/keywords/urban-air-pollution","display_name":"urban air pollution","score":0.8420000076293945},{"id":"https://openalex.org/keywords/hybrid-cnn-rnn-model","display_name":"hybrid CNN-RNN model","score":0.6959999799728394},{"id":"https://openalex.org/keywords/spatiotemporal-prediction","display_name":"spatiotemporal prediction","score":0.8479999899864197},{"id":"https://openalex.org/keywords/air-quality-health-index","display_name":"Air Quality Health Index","score":0.7910000085830688},{"id":"https://openalex.org/keywords/low-cost-sensor-networks","display_name":"low-cost sensor networks","score":0.4729999899864197},{"id":"https://openalex.org/keywords/hong-kong-air-quality","display_name":"Hong Kong air quality","score":0.4950000047683716}],"concepts":[{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.7638000249862671},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6245999932289124},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5680000185966492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5364999771118164},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45249998569488525},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4496999979019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4339999854564667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4203000068664551},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.3301999866962433},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C3019654008","wikidata":"https://www.wikidata.org/wiki/Q4826440","display_name":"Air monitoring","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C539469273","wikidata":"https://www.wikidata.org/wiki/Q1749732","display_name":"Environmental monitoring","level":2,"score":0.26260000467300415}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:uwe-repository.worktribe.com:13649079","doi":null,"is_oa":true,"landing_page_url":"https://uwe-repository.worktribe.com/output/13649079","pdf_url":"https://uwe-repository.worktribe.com/preview/14704267/Thesis%20%28final%20approved%20version%29.pdf","source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:uwe-repository.worktribe.com:13649079","doi":null,"is_oa":true,"landing_page_url":"https://uwe-repository.worktribe.com/output/13649079","pdf_url":"https://uwe-repository.worktribe.com/preview/14704267/Thesis%20%28final%20approved%20version%29.pdf","source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.875},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.75},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.651199996471405}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204361286.pdf","grobid_xml":"https://content.openalex.org/works/W7204361286.grobid-xml"},"referenced_works_count":90,"referenced_works":["https://openalex.org/W845424685","https://openalex.org/W1806891645","https://openalex.org/W1810943226","https://openalex.org/W1824194340","https://openalex.org/W1964364237","https://openalex.org/W1967333634","https://openalex.org/W1967919426","https://openalex.org/W1968988752","https://openalex.org/W1969404038","https://openalex.org/W1969865391","https://openalex.org/W1971402834","https://openalex.org/W1980250184","https://openalex.org/W1982561564","https://openalex.org/W1985920679","https://openalex.org/W1996691629","https://openalex.org/W2002209598","https://openalex.org/W2004181726","https://openalex.org/W2004353783","https://openalex.org/W2012738604","https://openalex.org/W2025970773","https://openalex.org/W2027677023","https://openalex.org/W2028163949","https://openalex.org/W2029613065","https://openalex.org/W2030132082","https://openalex.org/W2033412785","https://openalex.org/W2051785665","https://openalex.org/W2056149869","https://openalex.org/W2056207324","https://openalex.org/W2058191784","https://openalex.org/W2061232022","https://openalex.org/W2061634726","https://openalex.org/W2090593940","https://openalex.org/W2099848873","https://openalex.org/W2102148524","https://openalex.org/W2108953357","https://openalex.org/W2110485445","https://openalex.org/W2112796928","https://openalex.org/W2117579602","https://openalex.org/W2121880036","https://openalex.org/W2134265359","https://openalex.org/W2144497224","https://openalex.org/W2147016261","https://openalex.org/W2154673940","https://openalex.org/W2159326981","https://openalex.org/W2160110230","https://openalex.org/W2161669929","https://openalex.org/W2168567238","https://openalex.org/W2197989507","https://openalex.org/W2239373335","https://openalex.org/W2255698143","https://openalex.org/W2273396394","https://openalex.org/W2384132967","https://openalex.org/W2570322979","https://openalex.org/W2581215590","https://openalex.org/W2607008741","https://openalex.org/W2625509183","https://openalex.org/W2725498977","https://openalex.org/W2760506659","https://openalex.org/W2783197284","https://openalex.org/W2791640723","https://openalex.org/W2791942352","https://openalex.org/W2803892188","https://openalex.org/W2807567209","https://openalex.org/W2809533013","https://openalex.org/W2945367617","https://openalex.org/W2963901865","https://openalex.org/W2964010366","https://openalex.org/W3047727732","https://openalex.org/W3109320344","https://openalex.org/W3134611473","https://openalex.org/W3153319740","https://openalex.org/W3157297340","https://openalex.org/W3175415540","https://openalex.org/W3183788472","https://openalex.org/W3214840804","https://openalex.org/W4221129463","https://openalex.org/W4226217181","https://openalex.org/W4236474321","https://openalex.org/W4239510810","https://openalex.org/W4283464311","https://openalex.org/W4285794683","https://openalex.org/W4286486917","https://openalex.org/W4293560595","https://openalex.org/W4293812711","https://openalex.org/W4321108604","https://openalex.org/W4323313312","https://openalex.org/W4366829738","https://openalex.org/W4379207732","https://openalex.org/W4385856604","https://openalex.org/W4392876584"],"related_works":["https://openalex.org/W7166817300","https://openalex.org/W7117988642","https://openalex.org/W4389572753","https://openalex.org/W3117573952","https://openalex.org/W7160955084","https://openalex.org/W4400010098","https://openalex.org/W4386254345","https://openalex.org/W4417311070","https://openalex.org/W4413918258","https://openalex.org/W4411836207"],"abstract_inverted_index":{"Urban":[0],"air":[1,17,40,67,80,91,142,166,210,258,264],"pollution":[2,303],"is":[3],"a":[4,137],"critical":[5],"global":[6],"issue":[7],"that":[8,187,300],"negatively":[9],"affects":[10],"public":[11],"health":[12,266],"and":[13,31,84,161,190,203,220,240,261,280,313],"the":[14,55,63,103,106,146,245,306],"environment.":[15],"Traditional":[16],"quality":[18,41,68,81,92,143,167,211,259,265],"monitoring":[19,23,69,82,111,175],"relies":[20],"on":[21,277],"physical":[22,116,172],"stations,":[24],"which":[25,59,99],"are":[26],"limited":[27],"in":[28,39,44,113,169,256,287],"geographic":[29],"coverage":[30],"expensive":[32],"to":[33,61,87,176,293],"maintain.":[34],"This":[35],"creates":[36],"significant":[37,127],"gaps":[38],"data,":[42,163],"especially":[43],"remote":[45,177],"areas,":[46],"water":[47],"bodies,":[48],"or":[49],"underserved":[50],"urban":[51],"zones.This":[52],"thesis":[53],"presents":[54],"\"Colours-of-the-Wind\"":[56],"(COLD)":[57],"framework,":[58],"aims":[60],"address":[62],"limitations":[64],"of":[65,105,148,154],"traditional":[66],"systems.":[70],"COLD":[71,131,225],"integrates":[72],"meteorological":[73,133,235],"camera":[74,134],"images":[75,135,150,232],"with":[76,270,305],"structured":[77,152],"data":[78,139,243],"from":[79,233,244],"stations":[83],"historical":[85],"records":[86],"provide":[88],"accurate,":[89],"real-time":[90],"predictions.":[93],"Unlike":[94],"current":[95],"image":[96,297],"classification":[97,298],"systems,":[98],"can":[100],"only":[101],"classify":[102],"content":[104],"image,":[107],"this":[108],"framework":[109,158,226,251],"enhances":[110],"capabilities":[112],"regions":[114],"lacking":[115],"infrastructure":[117],"by":[118],"employing":[119],"machine":[120],"learning":[121],"techniques.":[122],"The":[123,157,250],"research":[124],"makes":[125],"several":[126],"contributions:\u2022Innovative":[128],"Data":[129,155],"Use:":[130],"utilises":[132],"as":[136],"new":[138],"source":[140],"for":[141,165,195,208,222],"prediction,":[144],"demonstrating":[145],"conversion":[147],"unstructured":[149],"into":[151],"data.\u2022Integration":[153],"Sources:":[156],"combines":[159,188],"visual":[160],"numerical":[162],"allowing":[164],"estimation":[168],"areas":[170],"without":[171],"sensors,":[173],"extending":[174],"regions.And":[178],"three":[179],"Hybrid":[180],"Prediction":[181],"Algorithms:\u2022CORD:":[182],"A":[183,213],"time-series":[184],"prediction":[185,215],"model":[186,216],"CNNs":[189,202],"recurrent":[191],"neural":[192,205],"networks":[193,206],"(RNNs)":[194],"temporal":[196],"forecasting.\u2022SAID:":[197],"Spatial":[198],"analysis":[199],"algorithms":[200],"integrating":[201],"artificial":[204],"(ANNs)":[207],"regional":[209],"estimation.\u2022STUN:":[212],"spatial-temporal":[214],"incorporating":[217,278],"CNNs,":[218],"RNNs,":[219],"ANNs":[221],"comprehensive":[223],"forecasting.The":[224],"was":[227],"validated":[228],"using":[229],"over":[230,271],"80,000":[231],"14":[234],"cameras":[236],"across":[237],"Hong":[238],"Kong":[239],"pollutant":[241],"concentration":[242],"Environmental":[246],"Protection":[247],"Department":[248],"(EPD).":[249],"achieved":[252],"an":[253,295],"85-97%":[254],"accuracy":[255],"classifying":[257],"conditions":[260,304],"provided":[262],"6-hour":[263],"index":[267],"(AQHI)":[268],"forecasts":[269],"70%":[272],"accuracy.Future":[273],"improvements":[274],"will":[275],"focus":[276],"infrared":[279],"thermal":[281],"imaging":[282],"technologies,":[283],"significantly":[284],"enhancing":[285],"performance":[286],"low-light":[288],"scenarios.":[289],"Additionally,":[290],"we":[291],"aim":[292],"develop":[294],"automated":[296],"system":[299],"correlates":[301],"established":[302],"gathered":[307],"images,":[308],"thereby":[309],"reducing":[310],"manual":[311],"input":[312],"improving":[314],"efficiency.":[315]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-08-27T00:00:00"}
