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- 2025
-
Mark
Probabilistic Distributions of Moisture Damages in Swedish Buildings
(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
-
Mark
Predictive modeling and estimation of moisture damages in Swedish buildings : A machine learning approach
- Contribution to journal › Article
- 2024
-
Mark
Data-driven Approaches for Predicting Hazardous Substances in the Building Stock
(2024)
- Thesis › Doctoral thesis (compilation)
- 2023
-
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
Indoor radon interval prediction in the Swedish building stock using machine learning
- 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
-
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
-
Mark
Identification and Current Palaeobiological Understanding of “Keratosa”-Type Nonspicular Demosponge Fossils in Carbonates : With a New Example from the Lowermost Triassic, Armenia
- Contribution to journal › Article
-
Mark
Predicting the presence of hazardous materials in buildings using machine learning
- Contribution to journal › Article