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

Genetic Algorithm-Based Two-Step Optimization for Precise Latent Factor Analysis

Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...
Plant Services

Using crest factor analysis for early failure detection of progressive cavity pumps

In my 19 years of experience with vibration analysis in refinery and chemical plants and 15 years in the oil and gas sector, I have set up, managed, or supervised numerous vibration programs for ...
GitHub

CryptoFace: End-to-End Encrypted Face Recognition

We encrypt face images to provide biometric and database security. Face recognition is central to many authentication, security, and personalized applications. Yet, it suffers from significant privacy ...
IEEE

Learning Error Refinement in Stochastic Gradient Descent-Based Latent Factor Analysis via Diversified PID Controllers

Abstract: In Big Data-based applications, high-dimensional and incomplete (HDI) data are frequently used to represent the complicated interactions among numerous nodes. A stochastic gradient descent ...