PCMag

These 47 Expert Excel Tricks Will Transform You Into a Power User

Microsoft's spreadsheet program can do way more than you might imagine. These are the hacks and tricks you need to know.
GitHub

Is Mamba Effective for Time Series Forecasting?

We propose S-Mamba, a Mamba-based model for time series forecasting, which delegates the extraction of inter-variate correlations and temporal dependencies to a bidirectional Mamba block and a ...

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

A Transfer Learning Approach for Deformation Pattern Recognition in InSAR Time Series

Abstract: The multiepoch interferometry synthetic aperture radar (InSAR) technique is a widely applied geodetic tool for measuring surface displacement. Yet, traditional interpretations of InSAR ...
IEEE

SigTime: Learning and Visually Explaining Time Series Signatures

Abstract: Understanding and distinguishing temporal patterns in time series data is essential for scientific discovery and decisionmaking. For example, in biomedical research, uncovering meaningful ...