IEEE

Research on Multidimensional Data Processing and Prediction Based on ARIMA Model and Principal Component Analysis

Abstract: The focus of this study is the processing and analysis of race data, and employs algorithms such as ARIMA model and Principal Component Analysis (PCA) to construct a series of data analysis ...
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 ...
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 ...