Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2. 5 forecasting PY Kow, YS Wang, Y Zhou, IF Kao, M Issermann, LC Chang, FJ Chang Journal of Cleaner Production 261, 121285, 2020 | 89 | 2020 |
Interactive urban building energy modelling with functional mockup interface of a local residential building stock M Issermann, FJ Chang, PY Kow Journal of Cleaner Production 289, 125683, 2021 | 32 | 2021 |
Efficient Urban Inundation Model for Live Flood Forecasting with Cellular Automata and Motion Cost Fields M Issermann, FJ Chang, H Jia Water 12 (7), 1997, 2020 | 12 | 2020 |
Uncertainty Analysis of Spatiotemporal Models with Point Estimate Methods (PEMs)—The Case of the ANUGA Hydrodynamic Model M Issermann, FJ Chang Water 12 (1), 229, 2020 | 5 | 2020 |
The policy landscape of agricultural water management in Pakistan NL Aberman, NL Aberman, B Wielgosz, F Zaidi, C Ringler, AA Akram, ... Intl Food Policy Res Inst, 2013 | 3 | 2013 |
A Real-Time Urban Building Energy Model to Address the Data Needs of Water-Energy-Food Nexus Research M Issermann, FJ Chang AGU Fall Meeting Abstracts 2019, GC41F-1278, 2019 | | 2019 |