UC San Diego Today

A UC San Diego Tool Teaching Code to 25 Million is Even More Critical in Age of AI

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...
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 ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
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 ...