Dr. Kavina Dayal
Cited by
Cited by
PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
O Rahmati, A Kornejady, M Samadi, RC Deo, C Conoscenti, L Lombardo, ...
Science of the total environment 664, 296-311, 2019
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
O Rahmati, F Falah, KS Dayal, RC Deo, F Mohammadi, T Biggs, ...
Science of the Total Environment 699, 134230, 2020
Investigating Drought Duration-Severity-Intensity Characteristics Using the Standardized Precipitation-Evapotranspiration Index: Case Studies in Drought-Prone Southeast Queensland
KS Dayal, RC Deo, A Armando. A
Journal of Hydrologic Engineering 23 (1), 1-16, 2017
Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia
K Dayal, R Deo, AA Apan
Climate change adaptation in Pacific countries, 177-198, 2017
Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia
KS Dayal, RC Deo, AA Apan
Natural Hazards 93 (2), 823-847, 2018
Cooperative neuro-evolution of elman recurrent networks for tropical cyclone wind-intensity prediction in the south pacific region
R Chandra, K Dayal
2015 IEEE Congress on Evolutionary Computation (CEC), 1784-1791, 2015
Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia
O Rahmati, M Panahi, Z Kalantari, E Soltani, F Falah, KS Dayal, ...
Science of The Total Environment 718, 134656, 2020
Application of cooperative neuro-evolution of Elman recurrent networks for a two-dimensional cyclone track prediction for the South Pacific region
R Chandra, K Dayal, N Rollings
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Nationwide crop yield estimation based on photosynthesis and meteorological stress indices
Y Chen, RJ Donohue, TR McVicar, F Waldner, G Mata, N Ota, ...
Agricultural and Forest Meteorology 284, 107872, 2020
Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index
K Dayal, R Deo, A Apan
IEEE Region 10 International Conference: Technologies for Smart Nation, 2962 …, 2016
Coevolutionary recurrent neural networks for prediction of rapid intensification in wind intensity of tropical cyclones in the south pacific region
R Chandra, KS Dayal
International Conference on Neural Information Processing, 43-52, 2015
Development of copula-statistical drought prediction model using the standardized precipitation-evapotranspiration index
KS Dayal, RC Deo, AA Apan
Handbook of Probabilistic Models, 141-178, 2020
Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation
RC Deo, JF Adamowski, K Begum, S Salcedo-Sanz, DW Kim, KS Dayal, ...
Theoretical and Applied Climatology 137 (1), 1201-1215, 2019
Scope for predicting seasonal variation of the SPCZ with ACCESS-S1
TA Beischer, P Gregory, K Dayal, JR Brown, AN Charles, WXD Wang, ...
Climate Dynamics 56 (5), 1519-1540, 2021
Use of seasonal forecasts for guiding early season decisions in Australian cotton systems
C Nunn, JC Brown, PC McIntosh, K Dayal, MP Bange
Proceedings of 19th Australian Agronomy Conference, 2019
Development of statistical and geospatial-based framework for drought-risk assessment
KS Dayal
University of Southern Queensland, 2018
Intelligent data analytics for time series, trend analysis and drought indices comparison
KS Dayal, RC Deo, AA Apan
Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation …, 2021
Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere
KS Dayal, B Wang, RC Deo
Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation …, 2021
Climate drivers provide valuable insights into late season prediction of Australian wheat yield
K Dayal, JN Brown, F Waldner, R Lawes, Z Hochman, R Donohue, ...
Agricultural and Forest Meteorology 295, 108202, 2020
National-scale crop yield estimation based on biomass and climate-driven stress indices.
Y Chen, R Donohue, T McVicar, F Waldner, G Mata, N Ota, ...
Geophysical Research Abstracts 21, 2019
The system can't perform the operation now. Try again later.
Articles 1–20