Asmadi Djasman

Variational Mode Decomposition and Deep Learning for Geomagnetic K-Index Prediction

Geomagnetic K-index characterizes local disturbance intensity on a quasi-logarithmic scale and serves as a critical input for space weather early warning systems. Predicting this index is challenging due to its non-stationary, chaotic nature and severely imbalanced class distribution. This study develops and compares t...