Deo, Ravinesh C.

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

Deo, R. C., & Şahin, M. (2015) · Atmospheric Research

Hydrology and Drought AnalysisHydrological Forecasting Using AI

Cited by 317

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

Yaseen, Z. M., Ebtehaj, I., Bonakdari, H., Deo, R. C., Danandeh Mehr, A., Mohtar, W. H. M. W., Diop, L., El-shafie, A., & Singh, V. P. (2017) · Journal of Hydrology

Hydrological Forecasting Using AIHydrology and Watershed Management Studies

Cited by 267

A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia’s climate

MCALPINE, C. A., SYKTUS, J., RYAN, J. G., DEO, R. C., MCKEON, G. M., MCGOWAN, H. A., & PHINN, S. R. (2009) · Global Change Biology

Climate variability and modelsLand Use and Ecosystem Services

Cited by 152

Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses

Deo, R. C., Yaseen, Z. M., Al-Ansari, N., Nguyen-Huy, T., Langlands, T. A. M., & Galligan, L. (2020) · IEEE Access

Online Learning and AnalyticsMachine Learning and ELM

Cited by 89

Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China

Yang, L., Feng, Q., Adamowski, J. F., Deo, R. C., Yin, Z., Wen, X., Tang, X., & Wu, M. (2020) · Science of The Total Environment

Climate change impacts on agricultureGeology and Paleoclimatology Research

Cited by 35