Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Abstract: An approach based on the method of moments and using a set of stretched Fourier-Bessel basis functions (FBBFs) is presented for the analysis of elliptical domain metasurfaces (MTSs). This ...

Abstract: Non-Intrusive Load Monitoring aims to extract the energy consumption of individual electrical appliances through disaggregation of the total power load measured by a single smart-meter. In ...

RFF can be applicable to many other machine learning algorithms than the above. The author will provide implementations of the other algorithms soon. This module supports training/inference on GPU.