Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling
收藏Mendeley Data2024-03-27 更新2024-06-29 收录
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https://researchdata.ntu.edu.sg/citation?persistentId=doi:10.21979/N9/56MTEH
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资源简介：
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 healthier buildings” in the tropics (e.g., Singapore). Leveraging privacy-preserving data analytics over information acquired from smartphone crowdsourcing and in-situ wearables measurements, the project plans to develop and validate an integrative, economical and scalable thermal comfort management system. NTU-SCSE News about GBIC Project
创建时间：
2023-06-28
