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

Classification of Tea Using Principal Component Analysis (PCA) Based on Chemical Compositions

Abstract: Traditional tea classifications typically rely on the content percentage of one or several specific chemical compositions, thereby failing to capture the comprehensive impact of all ...
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

Principal Component Analysis-Based Optimal Feature Design for GNSS Spoofing Detection

Abstract: Global navigation satellite system (GNSS) spoofing attacks pose a serious threat to existing 5G and future 6G networks, as they rely heavily on the high-precision time synchronization ...