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09/11/2023
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry
The decision-making process in real-world implementations has been affec...
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07/10/2023
Pathway toward prior knowledge-integrated machine learning in engineering
Despite the digitalization trend and data volume surge, first-principles...
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07/15/2022
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
The development of brain-computer interfaces (BCI) has facilitated our s...
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05/30/2022
A hybrid-model approach for reducing the performance gap in building energy forecasting
The performance gap between predicted and actual energy consumption in t...
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03/14/2022
Introducing causal inference in the energy-efficient building design process
"What-if" questions are intuitively generated and commonly asked during ...
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08/30/2021
