Pei-Yu Wu (Former)
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- 2025
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Mark
Predictive modeling and estimation of moisture damages in Swedish buildings : A machine learning approach
- Contribution to journal › Article
- 2024
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Mark
Data-driven Approaches for Predicting Hazardous Substances in the Building Stock
(2024)
- Thesis › Doctoral thesis (compilation)
- 2023
-
Mark
Indoor radon interval prediction in the Swedish building stock using machine learning
- Contribution to journal › Article
-
Mark
Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
(2023) In Expert Systems with Applications
- Contribution to journal › Article
-
Mark
Evaluating the Indoor Radon Concentrations in the Swedish Building Stock Using Statistical and Machine Learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
- Contribution to journal › Article
- 2022
-
Mark
Predicting hazardous materials in the Swedish building stock using data mining
(2022) In TVBH
- Thesis › Licentiate thesis
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Mark
Predicting the presence of hazardous materials in buildings using machine learning
- Contribution to journal › Article
-
Mark
Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings
(2022)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
-
Mark
Machine Learning in Hazardous Building Material Management : Research Status and Applications
- Contribution to journal › Article