GitHub

pyforeca: Forecastable Component Analysis (ForeCA) in Python

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...
IEEE

Denoising Diffusion-Based Image Generation Model Using Principal Component Analysis

Abstract: In recent years, advancements in GPU technology and increased data collection have significantly enhanced the performance of artificial intelligence and image generation models. However, in ...
The Business Journals

Dayton's aviation sector critical component of Ohio's bid to transform medical transport

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Dayton’s aviation sector may ...
IEEE

Online Nonconvex Robust Tensor Principal Component Analysis

Abstract: Robust tensor principal component analysis (RTPCA) based on tensor singular value decomposition (t-SVD) separates the low-rank component and the sparse component from the multiway data. For ...
Morningstar

Shoot 360 and LA Fitness Piloting Program to Transform Basketball Gyms into Gamified, Data-Driven Training & Competition Experiences

VANCOUVER, Wash., Feb. 12, 2026 /PRNewswire/ -- Shoot 360, the world's largest and most advanced technology-driven basketball training, competition and entertainment platform, is piloting a program ...