Below you will find pages that utilize the taxonomy term “Machine Learning”
Projectsread more
Binary Drought Event Classifier
A monthly, station-level drought event classifier for nine stations in Southeastern Australia (1994–2024).
Phase 1 (R): SPI-3/12, NDVI/EVI prep, past-only labels.
Phase 2 (Python): chronological split, class-weighted Random Forest (AUC≈0.90), PR-curve thresholding, compact NN/ensembles comparisons.
Phase 3: transfer to unseen station; recalibration + light fine-tuning recovers recall while keeping ranking skill.
Publications
Groundwater management using IoT, technology, machine learning, and civil engineering approach
IoT and ML-enabled approaches for groundwater resource management.
read morePublications
Soil Moisture Memory and Wavelet Entropy Synergy in Machine Learning Drought Forecasting
Explores combined soil moisture memory and wavelet entropy features to improve ML drought forecasting.
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