Maikel Issermann
Zitiert von
Zitiert von
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
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
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
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
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
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
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