Pei-Yu Wu

E-postadresspei-yu.wubyggtek.lthse

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Fingeravtryck

Utforska forskningsämnen där Pei-Yu Wu är aktiv. Dessa ämnesetiketter kommer från personens arbeten. Tillsammans bildar de ett unikt fingeravtryck.

1 Liknande profiler

4 Artikel i vetenskaplig tidskrift
2 Konferenspaper i proceeding
1 Licentiatavhandling

Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
Wu, P-Y., Johansson, T., Mangold, M., Sandels, C. & Mjörnell, K., 2023 mars 9, I: Expert Systems with Applications.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång
Fil
7 Nedladdningar (Pure)
Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings
Wu, P-Y., Mangold, M., Sandels, C., Johansson, T. & Mjörnell, K., 2022 dec., IOP Conference Series: Earth and Environmental Science. 8 s.
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Öppen tillgång
Predicting hazardous materials in the Swedish building stock using data mining
Wu, P-Y., 2022 jan. 14, Lund: Lund University. 110 s.
Forskningsoutput: Avhandling › Licentiatavhandling

Öppen tillgång
Fil

68 Nedladdningar (Pure)
Predicting the presence of hazardous materials in buildings using machine learning
Wu, P-Y., Sandels, C., Mjörnell, K., Mangold, M. & Johansson, T., 2022 feb. 16, I: Building and Environment. 213, 17 s., 108894.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång
A data-driven approach to assess the risk of encountering hazardous materials in the building stock based on environmental inventories
Wu, P. Y., Mjörnell, K., Mangold, M., Sandels, C. & Johansson, T., 2021 juli, I: Sustainability (Switzerland). 13, 14, 7836.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång

Data-driven approach to trace and evaluate the recycling potential of PVC flooring in the building stock
Wu, P.
2022/10/17 → 2023/06/16
Projekt: Forskning
Re:Source: Development of machine learning-embedded applications to support hazardous material assessment in renovation and demolition
Wu, P.
2022/10/01 → 2023/09/30
Projekt: Forskning
Förutsäga fuktskador i befintliga och nya byggnader med hjälp av AI (maskininlärning)
Wu, P.
2022/10/01 → 2024/06/30
Projekt: Forskning
EU Horizon 2020 BuiltHub
Wu, P.
2020/10/01 → 2024/09/30
Projekt: Forskning
Prediction of hazardous materials in building using AI
Wu, P.
2020/02/17 → …
Projekt: Forskning

Pei-Yu Wu

Fingeravtryck

Nätverk

Se detaljer

Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks

Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings

Predicting hazardous materials in the Swedish building stock using data mining

Predicting the presence of hazardous materials in buildings using machine learning

A data-driven approach to assess the risk of encountering hazardous materials in the building stock based on environmental inventories

Data-driven approach to trace and evaluate the recycling potential of PVC flooring in the building stock

Re:Source: Development of machine learning-embedded applications to support hazardous material assessment in renovation and demolition

Förutsäga fuktskador i befintliga och nya byggnader med hjälp av AI (maskininlärning)

EU Horizon 2020 BuiltHub

Prediction of hazardous materials in building using AI

Pei-Yu Wu

Fingeravtryck

Nätverk

Forskningsoutput

Projekt