Hsu, Kuolin

Status and prospects for drought forecasting: opportunities in artificial intelligence and hybrid physical–statistical forecasting

AghaKouchak, A., Pan, B., Mazdiyasni, O., Sadegh, M., Jiwa, S., Zhang, W., Love, C. A., Madadgar, S., Papalexiou, S. M., Davis, S. J., et al. (2022) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Hydrology and Drought AnalysisHydrological Forecasting Using AI

Cited by 67

Predicting distribution of malaria vector larval habitats in Ethiopia by integrating distributed hydrologic modeling with remotely sensed data

Jiang, A.-L., Lee, M.-C., Zhou, G., Zhong, D., Hawaria, D., Kibret, S., Yewhalaw, D., Sanders, B. F., Yan, G., & Hsu, K. (2021) · Scientific Reports

Malaria Research and ControlMosquito-borne diseases and control

Cited by 14

Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission Using a Hydrology‐Based Model

Jiang, A., Lee, M., Selvaraj, P., Degefa, T., Getachew, H., Merga, H., Yewhalaw, D., Yan, G., & Hsu, K. (2023) · GeoHealth

Malaria Research and ControlMosquito-borne diseases and control

Cited by 3