{"id":"https://openalex.org/W1635989827","doi":"https://doi.org/10.1109/ijcnn.2015.7280781","title":"Real-time occupancy estimation using environmental parameters","display_name":"Real-time occupancy estimation using environmental parameters","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1635989827","doi":"https://doi.org/10.1109/ijcnn.2015.7280781","mag":"1635989827"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5086307957","display_name":"Mustafa K. Masood","orcid":"https://orcid.org/0000-0003-3847-7093"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Mustafa K. Masood","raw_affiliation_strings":["School of Electrical and Electronic Engineering Nanyang Technological University, Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007180550","display_name":"Yeng Chai Soh","orcid":"https://orcid.org/0000-0003-0624-2302"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yeng Chai Soh","raw_affiliation_strings":["School of Electrical and Electronic Engineering Nanyang Technological University, Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013768320","display_name":"Victor W.-C. Chang","orcid":"https://orcid.org/0000-0003-4683-1267"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Victor W.-C. Chang","raw_affiliation_strings":["School of Electrical and Electronic Engineering Nanyang Technological University, Singapore","School of Civil and Environmental Engineering Nanyang Technological University Singapore 639798"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Civil and Environmental Engineering Nanyang Technological University Singapore 639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086307957"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":7.7659,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.9723437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9966999888420105,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9965000152587891,"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/feature-selection","display_name":"Feature selection","score":0.6726986169815063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6595801115036011},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.6307686567306519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6110626459121704},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5711352825164795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5416922569274902},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5302949547767639},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4891510307788849},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4849562644958496},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4705641269683838},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.43510204553604126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37205636501312256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2462896704673767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11482349038124084}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6726986169815063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6595801115036011},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.6307686567306519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6110626459121704},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5711352825164795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5416922569274902},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5302949547767639},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4891510307788849},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4849562644958496},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4705641269683838},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.43510204553604126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37205636501312256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2462896704673767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11482349038124084},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W15659978","https://openalex.org/W21422473","https://openalex.org/W122396070","https://openalex.org/W167598277","https://openalex.org/W1495061682","https://openalex.org/W1972440681","https://openalex.org/W1972669681","https://openalex.org/W2001626625","https://openalex.org/W2011363381","https://openalex.org/W2017337590","https://openalex.org/W2040306558","https://openalex.org/W2073359355","https://openalex.org/W2075186465","https://openalex.org/W2085852460","https://openalex.org/W2105251341","https://openalex.org/W2111072639","https://openalex.org/W2113291960","https://openalex.org/W2156530128","https://openalex.org/W2163239971","https://openalex.org/W2182502266","https://openalex.org/W2588283961","https://openalex.org/W4302579266","https://openalex.org/W6600643445","https://openalex.org/W6604906030","https://openalex.org/W6606800860","https://openalex.org/W6629652716","https://openalex.org/W6684085282","https://openalex.org/W6733922827","https://openalex.org/W6884969994"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W2067443264","https://openalex.org/W3093197249","https://openalex.org/W1968324288","https://openalex.org/W1540010871","https://openalex.org/W3023979140","https://openalex.org/W2904068067","https://openalex.org/W1565491139","https://openalex.org/W2969770948"],"abstract_inverted_index":{"An":[0,129],"integral":[1],"part":[2],"of":[3,25,135,189,199,205,210],"visualizing":[4],"an":[5,215],"air-conditioned":[6],"space":[7],"is":[8,131,156,233,267],"to":[9,17,75,96,124,144,194,240],"know":[10],"its":[11,26],"occupancy":[12,39,80,105,216,262],"in":[13,15,38,114,122,174,214,264],"real-time,":[14],"order":[16,123],"make":[18],"intelligent":[19],"control":[20],"decisions":[21],"about":[22,78],"the":[23,53,79,119,126,132,140,147,168,185,203,208,211,226,245,253],"operation":[24],"Air":[27],"Conditioning":[28],"and":[29,44,50,70,87,98,228],"Mechanical":[30],"Ventilation":[31],"(ACMV)":[32],"system.":[33],"The":[34,107,235],"sensing":[35],"mechanisms":[36],"used":[37,113,173,260],"estimation":[40,217,263],"such":[41,61,166],"as":[42,62,167],"cameras":[43],"wearable":[45],"sensors":[46,83],"are":[47,84,88],"generally":[48],"intrusive":[49],"expensive.":[51],"Alternatively,":[52],"effect":[54],"that":[55,102,252],"occupants":[56],"have":[57,241],"on":[58,118,184],"environmental":[59],"parameters":[60],"CO":[63],"<inf":[64],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[65],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[66],",":[67],"temperature,":[68],"humidity":[69],"pressure":[71,254],"can":[72],"be":[73],"utilized":[74],"extract":[76,97],"information":[77],"levels.":[81],"Environmental":[82],"relatively":[85],"inexpensive":[86],"non-intrusive.":[89],"From":[90],"these":[91],"sensor":[92],"data,":[93,255],"we":[94],"need":[95],"select":[99],"relevant":[100],"features":[101],"may":[103],"yield":[104],"information.":[106],"filter":[108,227],"model":[109,134,198,213,230],"feature":[110,136,200,231],"selection":[111,232],"approach":[112],"previous":[115,175,265],"works":[116],"compromises":[117],"classification":[120,153],"accuracy":[121,154,237],"limit":[125],"computational":[127],"burden.":[128],"alternative":[130],"wrapper":[133,197,212,229,246],"selection,":[137],"which":[138,256],"uses":[139],"inference":[141],"algorithm":[142],"itself":[143],"search":[145],"for":[146,261],"best":[148,204],"features.":[149],"It":[150],"guarantees":[151],"better":[152],"but":[155],"computationally":[157],"expensive,":[158],"especially":[159],"with":[160,244],"slow":[161],"iterative":[162],"machine":[163],"learning":[164,187],"techniques":[165],"Artificial":[169],"Neural":[170],"Network":[171],"(ANN)":[172],"works.":[176],"To":[177,202],"address":[178],"this":[179,181],"problem,":[180],"work":[182],"capitalizes":[183],"fast":[186],"speed":[188],"Extreme":[190],"Learning":[191],"Machines":[192],"(ELM)":[193],"implement":[195],"a":[196],"selection.":[201],"our":[206],"knowledge,":[207],"use":[209],"problem":[218],"has":[219,257],"not":[220,258],"been":[221,259],"documented.":[222],"A":[223],"comparison":[224],"between":[225],"made.":[234],"tracking":[236],"was":[238,250],"seen":[239],"notably":[242],"improved":[243],"model.":[247],"Also,":[248],"it":[249],"demonstrated":[251],"works,":[266],"useful.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}