The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

New brain-computer interface AI model improves real-world EEG data while advancing Zyphra's mission to develop human-aligned ...

This project supports all types of 2D medical X-ray images, including chest, dental, and others. It performs super-resolution and denoising using a RealESRGAN-based model. The application supports ...

Abstract: Spelling error are a major problem in Natural Language Processing (NLP), particularly when it comes to Indonesian text, since they might reduce the ...

Abstract: Presents corrections to the paper, (Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review”).