{"id":"https://openalex.org/W4318605742","doi":"https://doi.org/10.1109/ssci51031.2022.10022217","title":"A Deep Architecture using Multiple TabNets for Environmental Prediction and Control in Smart Home","display_name":"A Deep Architecture using Multiple TabNets for Environmental Prediction and Control in Smart Home","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4318605742","doi":"https://doi.org/10.1109/ssci51031.2022.10022217"},"language":"en","primary_location":{"id":"doi:10.1109/ssci51031.2022.10022217","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci51031.2022.10022217","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5032053457","display_name":"Omar Al-Ani","orcid":"https://orcid.org/0009-0008-3482-9155"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Al-Ani","raw_affiliation_strings":["Kansas State University,USA","Kansas State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansas State University,USA","institution_ids":["https://openalex.org/I189590672"]},{"raw_affiliation_string":"Kansas State University, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053663591","display_name":"Sanjoy Das","orcid":"https://orcid.org/0000-0003-0699-1848"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjoy Das","raw_affiliation_strings":["Kansas State University,USA","Kansas State University, USA"],"raw_orcid":"https://orcid.org/0000-0003-0699-1848","affiliations":[{"raw_affiliation_string":"Kansas State University,USA","institution_ids":["https://openalex.org/I189590672"]},{"raw_affiliation_string":"Kansas State University, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030552258","display_name":"Hongyu Wu","orcid":"https://orcid.org/0000-0002-5223-6635"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyu Wu","raw_affiliation_strings":["Kansas State University,USA","Kansas State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansas State University,USA","institution_ids":["https://openalex.org/I189590672"]},{"raw_affiliation_string":"Kansas State University, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028299895","display_name":"Dania Martinez-Figueora","orcid":null},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dania Martinez-Figueora","raw_affiliation_strings":["Kansas State University,USA","Kansas State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansas State University,USA","institution_ids":["https://openalex.org/I189590672"]},{"raw_affiliation_string":"Kansas State University, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004755760","display_name":"Xuebo Liu","orcid":"https://orcid.org/0000-0002-6269-770X"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuebo Liu","raw_affiliation_strings":["Kansas State University,USA","Kansas State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansas State University,USA","institution_ids":["https://openalex.org/I189590672"]},{"raw_affiliation_string":"Kansas State University, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064155671","display_name":"Rahul Harsha Cheppally","orcid":null},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul H. Cheppally","raw_affiliation_strings":["Kansas State University,USA","Kansas State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansas State University,USA","institution_ids":["https://openalex.org/I189590672"]},{"raw_affiliation_string":"Kansas State University, USA","institution_ids":["https://openalex.org/I189590672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189590672"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"80","issue":null,"first_page":"998","last_page":"1003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.994700014591217,"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":0.994700014591217,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.7547659873962402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7222311496734619},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6936010122299194},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6879633665084839},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6249406337738037},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.6067472100257874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5735265612602234},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5631306767463684},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5011088848114014},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48560279607772827},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.452266126871109}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7547659873962402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7222311496734619},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6936010122299194},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6879633665084839},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6249406337738037},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.6067472100257874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5735265612602234},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5631306767463684},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5011088848114014},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48560279607772827},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.452266126871109},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci51031.2022.10022217","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci51031.2022.10022217","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2053009031","https://openalex.org/W2801424816","https://openalex.org/W2886354130","https://openalex.org/W2913198854","https://openalex.org/W3081603852","https://openalex.org/W3088071370","https://openalex.org/W3107222808","https://openalex.org/W3147852756","https://openalex.org/W3174086521","https://openalex.org/W3199692305","https://openalex.org/W3209275630","https://openalex.org/W3212810272","https://openalex.org/W6798244097"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3208304128"],"abstract_inverted_index":{"A":[0],"deep":[1,58,68],"neural":[2,69],"network":[3,61],"model":[4,96],"is":[5,37,64,75,82],"proposed":[6,95],"in":[7,16,91,110,117],"this":[8],"research":[9,54],"for":[10],"indoor":[11],"environmental":[12],"prediction":[13],"and":[14],"control":[15],"the":[17,46,56],"smart":[18],"home.":[19],"It":[20],"attempts":[21],"to":[22,40,78,84],"benefit":[23],"directly":[24],"from":[25,49],"human":[26,51],"experience":[27],"by":[28],"making":[29],"use":[30],"of":[31,67],"imitation":[32,44],"learning,":[33,45],"a":[34],"paradigm":[35],"that":[36],"closely":[38],"related":[39,119],"reinforcement":[41],"learning.":[42],"In":[43],"agent":[47],"learns":[48],"real":[50],"experience.":[52],"The":[53,71,94],"uses":[55],"state-of-the-art":[57],"attentive":[59],"tabular":[60,72,80,100],"architecture,":[62],"which":[63,74],"an":[65],"extension":[66],"networks.":[70,101],"network,":[73],"designed":[76],"specifically":[77],"handle":[79],"data,":[81],"able":[83],"outperform":[85],"all":[86],"other":[87],"machine":[88,111],"learning":[89,112],"algorithms":[90],"current":[92,108],"use.":[93],"incorporates":[97],"four":[98],"such":[99],"Promising":[102],"results":[103],"described":[104],"here":[105],"demonstrate":[106],"how":[107],"developments":[109],"can":[113],"be":[114],"adopted":[115],"effectively":[116],"HEMS":[118],"applications.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
