eLife

High-content high-resolution microscopy and deep learning-assisted analysis reveals host and bacterial heterogeneity during Shigella infection

High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.
IEEE

Integrating Machine Learning into supervisory control of power systems for minimizing line losses after abnormal state detection

Abstract: A novel framework for integrating Machine Learning (ML) algorithms into the supervisory control of multi-machine power systems is proposed. In particular, ML is used to identify the ...
IEEE

Integrating Sentiment Analysis With Machine Learning for Cyberbullying Detection on Social Media

Abstract: The phenomenon of cyberbullying has emerged as a critical challenge in the digital landscape which poses detrimental effects on individuals and broader societal frameworks. A viable approach ...