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.
GitHub

Time Series Foundation Model - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...
IEEE

Detection of Degraded Forests in Guinea, West Africa, Using Convolutional Neural Networks and Sentinel-2 Time Series

Abstract: This study explores forest degradation detection in Guinea using remote sensing, focusing on the Ziama Massif, a UNESCO Biosphere Reserve and using Sentinel-2 satellite imagery. We compared ...
GitHub

YATsDb - Yet Another TimeSeries Database in .NET

Yet Another TimeSeries Database is experimental time series database inspired InfluxDb and RavenDB. YATsDb is implement in pure .NET and modern C# with great performance, (around 30K inserts per ...
Post-Courier

ON THIS DAY IN OUR HISTORY: Oceania series for PNG

PNG is expected to be represented at the Under-16 Oceania World Cup preliminary soccer series in Chinese Taipei next August. And the secretary of the PNG Football (Soccer) Association, Andrew Waho, ...