Sousa Santos, R., Pimenta do Vale, C., Bogoni, B.
& Kirkegaard, P. H. (2021).
Abordagem, projeto e métodos de investigação qualitativa em contexto educacional. In P. A. de Castro, S. Sá, A. C. Temer, M. González Sanmamed & R. Arellano Saavedra (Eds.),
Qualitative Research in Education: advances and challenges (pp. 181-189). Ludomedia.
https://doi.org/10.36367/ntqr.7.2021.181-189
Sousa Santos, R., Pimenta do Vale, C., Bogoni, B.
& Kirkegaard, P. H. (2021).
Investigação de campoqualitativaem contexto educacional: Definição e considerações. In P. A. de Castro, S. Sá, A. C. Temer, M. González Sanmamed & R. Arellano Saavedra (Eds.),
Qualitative Research in Education: advances and challenges (Vol. 7, pp. 190-199). Ludomedia.
https://doi.org/10.36367/ntqr.7.2021,
https://doi.org/10.36367/ntqr.7.2021.190-199
Sorge, E., Riascos, C., Caterino, N., Demartino, C.
& Georgakis, C. T. (2024).
Optimal design of a hinge-spring-friction device for enhancing wind induced structural response of onshore wind turbines.
Engineering Structures,
314, Article 118305.
https://doi.org/10.1016/j.engstruct.2024.118305
Sørensen, S. B., Toftum, J., Clausen, G.
, Jensen, K. L. & Kristensen, K. V. (2022).
Large-scale study of Classroom VOCs: Sources, Dynamics, and Indoor Air Quality Impacts. In
Proceedings of Indoor Air 2022 Article 1401 International Society of Indoor Air Quality and Climate.
https://www.conftool.com/indoorair2022/index.php?page=browseSessions&presentations=show&mode=list&search=s%C3%B8rensen
Sohier, H.
, Schultz, C. P. L., Zayed, Y. N. H., Kamari, A., Jonveaux, L., Zavitsas, K., Pantelide, G., Trinanes, J., Alejandre, A., Mberi, J. & Maxim, C. (2026).
Accelerating the Transition to Green Building Neighbourhoods: A New Decision Support Platform.
ABC2: Journal of Architecture, Building, Construction, and Cities,
2026(2), 11-22.
https://abc2.net/index.php/journal/article/view/23
Skov, J. F.
, Ulriksen, M. D., Dickow, K. A.
, Kirkegaard, P. H. & Damkilde, L. (2013).
On Structural Health Monitoring of Wind Turbine Blades.
Key Engineering Materials,
569-570, 628-635.
https://doi.org/10.4028/www.scientific.net/KEM.569-570.628
Siviero, M., Melchiorre, J.
, Rosso, M. M., Cirrincione, G. & Marano, G. C. (2026).
A multi-objective Gaussian mixture-based estimation of distribution algorithm for structural design optimization.
Applied Soft Computing,
201, Article 115610.
https://doi.org/10.1016/j.asoc.2026.115610
Shi, X., Zhang, C., Gupta, K. K., Ambat, R.
& Wu, M. (2025).
Risks of cement and rock-cement-metal interface degradation in geological carbon sequestration reservoirs: Mechanisms, influencing factors and mitigation measures.
Carbon Capture Science and Technology,
15, Article 100419.
https://doi.org/10.1016/j.ccst.2025.100419
Shen, C., Zhang, D.
, Clausen, J., Song, T., Xu, J. & Yang, S. (2023).
Centrifuge modelling on the stability of emergency flood control riverbank reinforced by deep mixed column: Case Study of Baishan Junction, China.
Case Studies in Construction Materials,
19, Article e02614.
https://doi.org/10.1016/j.cscm.2023.e02614
Shen, C., Zhang, D.
, Clausen, J., Wan, Y. & Zhang, G. (2025).
Centrifuge Model Tests on Deformation Characteristics of River Embankments Improved by Circular and Grid-Form Deep Mixed Columns.
International Journal of Civil Engineering,
23(8), 1503-1520.
https://doi.org/10.1007/s40999-025-01103-2
Shen, C., Zhang, D., Xu, J., Shen, C., Zhang, D.
, Clausen, J., Song, T. & Zhang, C. (2026).
Failure Characteristics of a River Embankment on Soft Ground Improved with Combined Columnar and Grid-Form Deep-Mixed Columns: Three-Dimensional Centrifuge and Numerical Modeling.
International Journal of Geomechanics,
26(1), Article 05025013.
https://doi.org/10.1061/IJGNAI.GMENG-11816
Shen, X., Ming, S., Wu, W., Xie, D., Yao, H., Vishnupriya, V., Zhang, H., Da, C.
& Zhang, G. (2026).
Short-term time series predictions of greenhouse gas emission from dairy houses based on diverse machine learning models.
Computers and Electronics in Agriculture,
247, Article 111699.
https://doi.org/10.1016/j.compag.2026.111699
Shakya, S., Schmüdderich, C., Machaček, J.
, Prada-Sarmiento, L. F. & Wichtmann, T. (2024).
Influence of Sampling Methods on the Accuracy of Machine Learning Predictions Used for Strain-Dependent Slope Stability.
Geosciences (Switzerland),
14(2), Article 44.
https://doi.org/10.3390/geosciences14020044
Schmüdderich, C., Herz, C., Albared, A., Machaček, J.
, Prada-Sarmiento, L. F., Staubach, P. & Wichtmann, T. (2025).
A two-step dynamic FEM-FELA approach for seismic slope stability assessment.
Acta Geotechnica,
20(1), 303-322. Article 103687.
https://doi.org/10.1007/s11440-024-02443-4
Sawant, M., Shende, M. K., Feijóo-Lorenzo, A. E.
& Bokde, N. D. (2021).
The state-of-the-art progress in cloud detection, identification, and tracking approaches: A systematic review.
Energies,
14(23), Article 8119.
https://doi.org/10.3390/en14238119
Sartori, I., Walnum, H. T., Skeie, K. S., Georges, L.
, Knudsen, M. D., Bacher, P., Candanedo, J., Sigounis, A. M., Prakash, A. K., Pritoni, M., Granderson, J., Yang, S. & Wan, M. P. (2023).
Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate.
Data in Brief,
48, Article 109149.
https://doi.org/10.1016/j.dib.2023.109149