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Markdown Text - 8.2 KB - MD5: c0a424f42840678f2362a5cf23ae6513
Information about the dataset usage.
May 12, 2020 - Wen Yonggang
Hu, Weizheng; Li, Jie; Zhu, Chenxiao; Zhang, Wei; Wen, Yonggang, 2020, "Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling", https://doi.org/10.21979/N9/56MTEH, DR-NTU (Data), V2, UNF:6:PfZTy8hHFxpEL725OduxrA== [fileUNF]
These datasets are collected for the GBIC project to conduct research about indoor human thermal comfort. The GBIC research project proposes to develop online thermal comfort models via a deep-learning approach and apply them to behavioral studies to drive “greener, smarter and h...
Tabular Data - 694.7 KB - 15 Variables, 6689 Observations - UNF:6:PoNs4FzlIgmgecCNzhvvuw==
Tabular Data - 35.6 KB - 15 Variables, 346 Observations - UNF:6:KF2TNS3vYMelgCoIWfVCZQ==
Tabular Data - 39.6 KB - 15 Variables, 385 Observations - UNF:6:S/Jh31eeHROsDyPz+Z+awA==
Tabular Data - 35.3 KB - 15 Variables, 345 Observations - UNF:6:G1Z6eOZqhS6R5+yreez1fQ==
Tabular Data - 46.0 KB - 15 Variables, 448 Observations - UNF:6:bffgCqD6ZFs9yZfl0PZ//g==
Tabular Data - 39.3 KB - 15 Variables, 385 Observations - UNF:6:Ez+FLT9rfeU+DBuxX4oPvg==
Tabular Data - 38.3 KB - 15 Variables, 374 Observations - UNF:6:qQD+l5caDpPTQX9D4ftblw==
Plain Text - 951 B - MD5: 4d6325dbb435dcb15ef59dd446c394d5
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