| A review of artificial neural network models for ambient air pollution prediction SMS Cabaneros, JK Calautit, BR Hughes Environmental Modelling & Software, 2019 | 353 | 2019 |
| Hybrid artificial neural network models for effective prediction and mitigation of urban roadside NO2 pollution SMS Cabaneros, JK Calautit, BR Hughes Energy Procedia 142, 3524-3530, 2017 | 63 | 2017 |
| Spatial estimation of outdoor NO2 levels in Central London using deep neural networks and a wavelet decomposition technique SMS Cabaneros, JK Calautit, BR Hughes Ecological Modelling 424, 109017, 2020 | 34 | 2020 |
| Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting SM Cabaneros, B Hughes Environmental Modelling & Software 158, 105529, 2022 | 16 | 2022 |
| Indoor environmental quality (IEQ) analysis of a low energy wind catcher with horizontally-arranged heat transfer devices J Calautit, A Aquino, D O’Connor, SMS Cabaneros, S Shahzad, S Wazed, ... Energy Procedia 142, 2095-2101, 2017 | 10 | 2017 |
| JBA trust challenge: a risk-based analysis of small scale, distributed,“Nature-based” flood risk management measures deployed on river networks S Cabaneros, F Danieli, G Formetta, R Gonzalez, M Grinfield, B Hankin, ... Maths Foresees, Leeds, 2018 | 7 | 2018 |
| Short-and long-term forecasting of ambient air pollution levels using wavelet-based non-linear autoregressive artificial neural networks with exogenous inputs SMS Cabaneros, JK Calautit, BR Hughes International Journal of Environmental Impacts 3 (2), 143-154, 2020 | 6 | 2020 |
| JBA Trust challenge: a riskbased analysis of small sale distributed “nature-based” flood risk management measures deployed on river networks. Report of Environmental Modelling … S Cabaneros, F Danieli, G Formetta, R Gonzalez, M Grinfeld, B Hankin, ... | 3 | 2018 |
Ben Richard HughesProfessor, University of SheffieldVerified email at sheffield.ac.uk
