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dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kaushik_Roy_0003>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Raymond_C._Tesiero>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yaa_Takyiwaa_Acquaah>
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foaf:homepage <https://doi.org/10.1007/978-3-031-08530-7_55>
dc:identifier DBLP conf/ieaaie/AcquaahGTR22 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-031-08530-7%5F55 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature. (xsd:string)
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foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Raymond_C._Tesiero>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yaa_Takyiwaa_Acquaah>
swrc:pages 659-665 (xsd:string)
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dc:title Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature. (xsd:string)
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rdf:type swrc:InProceedings
rdf:type foaf:Document