Through a combination of academic rigor, innovative AI applications, and cross-disciplinary collaboration, Dr. Ravikanth ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Can machines ever see the world as we see it? Researchers have uncovered compelling evidence that vision transformers (ViTs), ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that allows researchers to separate meaningful mutations from false ...

Abstract: Deep learning ... based brain–computer interfaces (BCIs), especially for motor imagery (MI) classification in the past five years. The mainstream DL methodology for the MI-EEG classification ...

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...

Abstract: In this work, we propose a hybrid binary classifier which combines a decision tree with a support vector machine ... be useful for feature selection cum classification tasks in real-world ...

College of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, P. R. China Guangxi Key Laboratory for Nonlinear Circuit and Optical Communication, ...