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2025
Mark Predictive modeling and estimation of moisture damages in Swedish buildings : A machine learning approach
Wu, Pei Yu ^LU ; Johansson, Tim ; Mundt-Petersen, S. Olof ^LU and Mjörnell, Kristina ^LU (2025) In Sustainable Cities and Society 118.
- Contribution to journal › Article
Mark Probabilistic Distributions of Moisture Damages in Swedish Buildings
Wu, Pei Yu ; Johansson, Tim ; Mundt-Petersen, S. Olof ^LU and Mjörnell, Kristina ^LU (2025) 9th International Building Physics Conference, IBPC 2024 In Lecture Notes in Civil Engineering 552 LNCE. p.105-113
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2024
Mark Data-driven Approaches for Predicting Hazardous Substances in the Building Stock
Wu, Pei-Yu ^LU (2024)
- Thesis › Doctoral thesis (compilation)
2023
Mark Indoor radon interval prediction in the Swedish building stock using machine learning
Wu, Pei-Yu ^LU ; Johansson, Tim ; Sandels, Claes ; Mangold, Mikael and Mjörnell, Kristina ^LU (2023) In Building and Environment 245.
- Contribution to journal › Article
Mark Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
Wu, Pei-Yu ^LU ; Sandels, Claes ; Johansson, Tim ; Mangold, Mikael and Mjörnell, Kristina ^LU (2023) In Resources, Conservation and Recycling 199.
- Contribution to journal › Article
Mark Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
Wu, Pei-Yu ^LU ; Johansson, Tim ; Mangold, Mikael ; Sandels, Claes and Mjörnell, Kristina ^LU (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
Wu, Pei-Yu ^LU ; Johansson, Tim ; Mangold, Mikael ; Sandels, Claes and Mjörnell, Kristina ^LU (2023) 13th Nordic Symposium on Building Physics In Journal of Physics: Conference Series 2654.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2022
Mark Predicting hazardous materials in the Swedish building stock using data mining
Wu, Pei-Yu ^LU (2022) In TVBH
- Thesis › Licentiate thesis
Mark Identification and Current Palaeobiological Understanding of “Keratosa”-Type Nonspicular Demosponge Fossils in Carbonates : With a New Example from the Lowermost Triassic, Armenia
Luo, Cui ; Pei, Yu ; Richoz, Sylvain ^LU ; Li, Qijian and Reitner, Joachim (2022) In Life 12(9).
- Contribution to journal › Article
Mark Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings
Wu, Pei-Yu ^LU ; Mangold, Mikael ; Sandels, Claes ; Johansson, Tim and Mjörnell, Kristina ^LU (2022)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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