IEEE

Toward a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model

Abstract: Motor imagery-based brain–computer interface (MI-BCI) has shown promising potential for improving motor function in neurorehabilitation and motor assistance among patients. However, the ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
IEEE

Unsupervised Classification for Multilook Polarimetric SAR Images via Double Dirichlet Process Mixture Model

Abstract: This article proposes a hierarchical double Dirichlet process mixture model (DDPMM) for multilook polarimetric synthetic aperture radar (PolSAR) data unsupervised classification.
GitHub

APQC PCF Enterprise Processes

The APQC PCF is the world's most widely used process framework for business process benchmarking, containing 1,855+ process elements across 13 major enterprise categories.