Kristina Mjörnell

Emailkristina.mjornellbyggtek.lthse

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25 Article
6 Paper in conference proceeding
1 Anthology (editor)
1 Paper, not in proceeding

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 Mar 9, In: Expert Systems with Applications.
Research output: Contribution to journal › Article › peer-review

Open Access
File
14 Downloads (Pure)
Balancing Social and Economic Sustainability in Renovation with an Affordable Option for Tenants? A Pilot Study from Sweden
Mjörnell, K., von Platten, J. & Björklund, K., 2022, In: Sustainability. 14, 7, 3785.
Research output: Contribution to journal › Article › peer-review

Open Access
Energy efficiency at what cost? Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden
von Platten, J., Mangold, M., Johansson, T. & Mjörnell, K., 2022, In: Energy Research & Social Science. 92, 102791.
Research output: Contribution to journal › Article › peer-review

Open Access
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 p.
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Open Access
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, In: Building and Environment. 213, 17 p., 108894.
Research output: Contribution to journal › Article › peer-review

Open Access

1 Finished
1 Active

Förutsäga fuktskador i befintliga och nya byggnader med hjälp av AI (maskininlärnng)
Mjörnell, K.
Stiftelsen länsförsäkringsgruppens forsknings- och utvecklingsfond
2022/11/01 → 2024/06/30
Project: Research
Hållbar renovering
Farsäter, K., Wahlström, Å., Johansson, D. & Mjörnell, K.
2014/08/15 → 2021/06/15
Project: Dissertation

Kristina Mjörnell

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

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

Balancing Social and Economic Sustainability in Renovation with an Affordable Option for Tenants? A Pilot Study from Sweden

Energy efficiency at what cost? Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden

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

Predicting the presence of hazardous materials in buildings using machine learning

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

Hållbar renovering

Kristina Mjörnell

Fingerprint

Collaborations and top research areas from the last five years

Research output

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

Balancing Social and Economic Sustainability in Renovation with an Affordable Option for Tenants? A Pilot Study from Sweden

Energy efficiency at what cost? Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden

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

Predicting the presence of hazardous materials in buildings using machine learning

Projects

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

Hållbar renovering