1 |
Automatic detection of the onset of film boiling using convolutional neural networks and Bayesian statistics Hobold GM, da Silva AK International Journal of Heat and Mass Transfer, 134, 262, 2019 |
2 |
Estimation of thermophysical properties from in-situ measurements in all seasons: Quantifying and reducing errors using dynamic grey-box methods Gori V, Elwell CA Energy and Buildings, 167, 290, 2018 |
3 |
Low-cost energy meter calibration method for measurement and verification Carstens H, Xia XH, Yadavalli S Applied Energy, 188, 563, 2017 |
4 |
To be certain about the uncertainty: Bayesian statistics for C-13 metabolic flux analysis Theorell A, Leweke S, Wiechert W, Noh K Biotechnology and Bioengineering, 114(11), 2668, 2017 |
5 |
Probabilistic peak detection in CE-LIF for STR DNA typing Woldegebriel M, van Asten A, Kloosterman A, Vivo-Truyols G Electrophoresis, 38(13-14), 1713, 2017 |
6 |
Inferring the thermal resistance and effective thermal mass distribution of a wall from in situ measurements to characterise heat transfer at both the interior and exterior surfaces Gori V, Marincioni V, Biddulph P, Elwell CA Energy and Buildings, 135, 398, 2017 |
7 |
A Bayesian nonlinear random effects model for identification of defective batteries from lot samples Cripps E, Pecht M Journal of Power Sources, 342, 342, 2017 |
8 |
Incorporating uncertainty in data driven regression models of fluidized bed gasification: A Bayesian approach Pan I, Pandey DS Fuel Processing Technology, 142, 305, 2016 |
9 |
Analysis of Electrochemical Impedance Spectroscopy Data Using the Distribution of Relaxation Times: A Bayesian and Hierarchical Bayesian Approach Ciucci F, Chen C Electrochimica Acta, 167, 439, 2015 |
10 |
Clustering disaggregated load profiles using a Dirichlet process mixture model Granell R, Axon CJ, Wallom DCH Energy Conversion and Management, 92, 507, 2015 |