Research Repository
The Research Repository is an open access online repository providing a central record of the University's research output as well as immediate access to the full text. It covers the whole range of UWE Bristol's output including books, book chapters, conference papers, images and journal articles.
Contact the team for more information at repository@uwe.ac.uk
Knowledge Robo-Cafe 2020
Report
Curran, T., & Church, S. Knowledge Robo-Cafe 2020. UWE
The tribulations of trials: Lessons learnt recruiting 777 older adults into REtirement in ACTion (REACT), a trial of a community, group-based active ageing intervention targeting mobility disability (2020)
Journal Article
Withall, J., Greaves, C. J., Thompson, J. L., de Koning, J. L., Bollen, J. C., Moorlock, S. J., …Stathi, A. (in press). The tribulations of trials: Lessons learnt recruiting 777 older adults into REtirement in ACTion (REACT), a trial of a community, group-based active ageing intervention targeting mobility disability. Journals of Gerontology, Series A, https://doi.org/10.1093/gerona/glaa051
Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings (2020)
Journal Article
Luo, X., Oyedele, L. O., Ajayi, A. O., Akinade, O. O., Delgado, J. M. D., Owolabi, H. A., & Ahmed, A. (2020). Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings. Energy and AI, 2, https://doi.org/10.1016/j.egyai.2020.100015A genetic algorithm-determined deep feedforward neural network architecture (GA-DFNN) is proposed for both day-ahead hourly and week-ahead daily electricity consumption of a real-world campus building in the United Kingdom. Due to the comprehensive r... Read More about Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings.
Hydrogen sulfide in horticulture: Emerging roles in the era of climate change (2020)
Journal Article
Zulfiqar, F., & Hancock, J. (in press). Hydrogen sulfide in horticulture: Emerging roles in the era of climate change. Plant Physiology and Biochemistry,Future climate change will present many plants with environmental challenges, including extreme temperatures and drought. Hydrogen sulfide (H2S) has emerged as an important signal transmitting molecule in plants, especially important in many stress r... Read More about Hydrogen sulfide in horticulture: Emerging roles in the era of climate change.
Computation-effective structural performance assessment using Gaussian Process-based finite element model updating and reliability analysis (2020)
Journal Article
Moravej, H., Chan, T. H. T., Jesus, A., & Nguyen, K. (in press). Computation-effective structural performance assessment using Gaussian Process-based finite element model updating and reliability analysis. International Journal of Structural Stability and Dynamics, https://doi.org/10.1142/s0219455420420031Structural health monitoring data has been widely acknowledged as a significant source for evaluating the performance and health conditions of structures. However, a holistic framework that efficiently incorporates monitored d... Read More about Computation-effective structural performance assessment using Gaussian Process-based finite element model updating and reliability analysis.
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
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