Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

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

Selective Enhanced Attention and Cross-Component Interaction for Long-Term Time Series Forecasting

Abstract: Transformer-based methods have demonstrated promising performance in long-term time series forecasting. However, existing methods often consider interactions among all variables when ...
IEEE

Meta-Learning Framework for Effective Few Shot Time Series Prediction

Abstract: Few shot time series forecasting is a significant challenge in fields such as healthcare, IoT, and finance, where data scarcity limits the effectiveness of traditional predictive models.
GitHub

Supply Chain Forecasting System

A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...