FFT-guided period selection + 2D Inception CNN + embedding-aware adaptive probabilistic head for multivariate time-series forecasting.
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Updated
Feb 16, 2026 - Python
FFT-guided period selection + 2D Inception CNN + embedding-aware adaptive probabilistic head for multivariate time-series forecasting.
Deep learning models for classifying powder materials using multi-wavelength optical scattering signals. Achieves 99% accuracy with TimesNet on RGB light scattering time series.
Research-only DL sequence modeling (ToyTimesNet-style) for XAUUSD time series. Windowing, training, and evaluation under academic constraints.
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