{"id":"https://openalex.org/W4319599532","doi":"https://doi.org/10.1080/08839514.2023.2175115","title":"Predicting education building occupants\u2019 thermal sensation through CatBoost-DF algorithm","display_name":"Predicting education building occupants\u2019 thermal sensation through CatBoost-DF algorithm","publication_year":2023,"publication_date":"2023-02-08","ids":{"openalex":"https://openalex.org/W4319599532","doi":"https://doi.org/10.1080/08839514.2023.2175115"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2023.2175115","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2175115","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/08839514.2023.2175115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048821685","display_name":"Jianji Ren","orcid":"https://orcid.org/0000-0002-3834-340X"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianji Ren","raw_affiliation_strings":["School of Software, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613986","display_name":"Yuming Liu","orcid":"https://orcid.org/0009-0001-0577-0202"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Liu","raw_affiliation_strings":["School of Software, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007502631","display_name":"Yongliang Yuan","orcid":"https://orcid.org/0000-0002-9211-9986"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongliang Yuan","raw_affiliation_strings":["School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011571397","display_name":"Haiyan Yan","orcid":"https://orcid.org/0009-0000-8780-2601"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Yan","raw_affiliation_strings":["School of Architecture and Art Design, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Architecture and Art Design, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100683200","display_name":"Haiqing Liu","orcid":"https://orcid.org/0000-0002-4442-824X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haiqing Liu","raw_affiliation_strings":["Do-fluoride new energy technology Co, ltd, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Do-fluoride new energy technology Co, ltd, Jiaozuo, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007502631"],"corresponding_institution_ids":["https://openalex.org/I4210166499"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":1.4945,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79415555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"37","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12496","display_name":"Color perception and design","score":0.9544000029563904,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9452000260353088,"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":0.8137027621269226},{"id":"https://openalex.org/keywords/thermal-comfort","display_name":"Thermal comfort","score":0.600284218788147},{"id":"https://openalex.org/keywords/thermal-sensation","display_name":"Thermal sensation","score":0.5062910318374634},{"id":"https://openalex.org/keywords/sensation","display_name":"Sensation","score":0.49450942873954773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36104634404182434},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3556181788444519},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3314083516597748},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.14547300338745117},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06266775727272034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8137027621269226},{"id":"https://openalex.org/C133913538","wikidata":"https://www.wikidata.org/wiki/Q774514","display_name":"Thermal comfort","level":2,"score":0.600284218788147},{"id":"https://openalex.org/C2989386686","wikidata":"https://www.wikidata.org/wiki/Q774514","display_name":"Thermal sensation","level":3,"score":0.5062910318374634},{"id":"https://openalex.org/C130093455","wikidata":"https://www.wikidata.org/wiki/Q173253","display_name":"Sensation","level":2,"score":0.49450942873954773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36104634404182434},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3556181788444519},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3314083516597748},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.14547300338745117},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06266775727272034},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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":2,"locations":[{"id":"doi:10.1080/08839514.2023.2175115","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2175115","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b0e4eef0e4a8437ea9eb3048351afdad","is_oa":true,"landing_page_url":"https://doaj.org/article/b0e4eef0e4a8437ea9eb3048351afdad","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 37, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2023.2175115","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2175115","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1650445574","https://openalex.org/W2004093841","https://openalex.org/W2076092573","https://openalex.org/W2085005009","https://openalex.org/W2098403346","https://openalex.org/W2100600375","https://openalex.org/W2107186450","https://openalex.org/W2151554678","https://openalex.org/W2282108917","https://openalex.org/W2289359980","https://openalex.org/W2511428877","https://openalex.org/W2592340788","https://openalex.org/W2737003425","https://openalex.org/W2783850388","https://openalex.org/W2790123320","https://openalex.org/W2804130173","https://openalex.org/W2895877122","https://openalex.org/W2896313348","https://openalex.org/W2898227265","https://openalex.org/W2901394106","https://openalex.org/W2937445681","https://openalex.org/W2941872402","https://openalex.org/W2946726652","https://openalex.org/W2969976568","https://openalex.org/W2980647470","https://openalex.org/W2995905174","https://openalex.org/W2996062083","https://openalex.org/W2999544229","https://openalex.org/W3006719534","https://openalex.org/W3008982883","https://openalex.org/W3023669592","https://openalex.org/W3038863601","https://openalex.org/W3046923096","https://openalex.org/W3048913341","https://openalex.org/W3092537909","https://openalex.org/W3124104562","https://openalex.org/W3133664817","https://openalex.org/W3155554243","https://openalex.org/W3169620914","https://openalex.org/W3181530645","https://openalex.org/W3211570086","https://openalex.org/W4200197328","https://openalex.org/W4220774576","https://openalex.org/W4229065030","https://openalex.org/W4232478844","https://openalex.org/W4281697029","https://openalex.org/W4284681617","https://openalex.org/W4313176848"],"related_works":["https://openalex.org/W4285410429","https://openalex.org/W1591855100","https://openalex.org/W2364766818","https://openalex.org/W2053012903","https://openalex.org/W2198120581","https://openalex.org/W4292609456","https://openalex.org/W2584105525","https://openalex.org/W3046923096","https://openalex.org/W3215767964","https://openalex.org/W2185104841"],"abstract_inverted_index":{"A":[0],"novel":[1],"machine":[2,75],"learning":[3,76],"method,":[4],"named":[5],"CatBoost-DF":[6,78,123],"(CatBoost":[7],"deep":[8],"forest),":[9],"is":[10,34,89,124,148],"proposed":[11],"to":[12,36,126],"solve":[13],"this":[14],"existing":[15,73],"problem":[16],"of":[17,22,43,51,61,66,86,101,135],"low":[18],"accuracy":[19,48,85],"and":[20,49,56,69,103,120,131,141],"lack":[21],"practicality":[23],"in":[24],"thermal":[25,107,116,129,146],"sensation":[26,117,147],"prediction.":[27],"In":[28],"the":[29,38,47,64,96,99,132,136,145],"CatBoost-DF,":[30,52],"a":[31,83],"cascading":[32],"strategy":[33],"introduced":[35],"strengthen":[37],"association":[39],"between":[40],"each":[41],"layer":[42],"CatBoost.":[44],"To":[45],"verify":[46],"robustness":[50],"experiments":[53],"collected":[54],"physiological":[55],"environmental":[57],"data":[58],"from":[59],"hundreds":[60],"subjects":[62],"with":[63,72,82],"help":[65],"sensor":[67],"devices":[68],"questionnaires.":[70],"Compared":[71],"state-of-the-art":[74],"methods,":[77],"shows":[79],"significant":[80],"superiority,":[81],"prediction":[84],"90%,":[87],"which":[88],"4%-39%":[90],"higher":[91],"than":[92],"other":[93],"models.":[94],"Moreover,":[95],"study":[97],"explored":[98],"effects":[100],"seasonal":[102],"gender":[104],"factors":[105],"on":[106],"sensation.":[108],"Result":[109],"shown":[110],"that":[111,143],"different":[112,115],"seasons":[113],"have":[114],"for":[118],"males":[119],"females.":[121],"Finally,":[122],"applied":[125],"predict":[127],"occupants\u2019":[128],"sensation,":[130],"\u201ccomfort":[133],"range\u201d":[134],"important":[137],"parameters":[138],"HR,":[139],"WS,":[140],"CTR":[142],"affect":[144],"calculated":[149],"experimentally.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}