Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

This project demonstrates how Label Encoding is used in Google Colab and then uploaded to GitHub. Label Encoding converts text categories into numeric labels so machine learning models can understand ...

Background: Artificial intelligence (AI) can diagnose a wide array of cardiac conditions from electrocardiograms (ECGs). Wearable and portable ECG devices may enable expanded AI-based screening for ...

Rotary encoders are electromechanical transducers that convert angular displacement into corresponding electrical signals interpretable by digital systems. This article specifically focuses on panel ...

The best label maker is a boost to your storage and organization efforts, whether that’s sorting a spice rack or slapping your kid’s name on their back-to-school stuff. It makes closets and drawers ...

Whether you're organizing your pantry, setting up a home office filing system, or running a small business, a good label maker can transform chaos into order with clean, consistent text that elevates ...

In robotics, movements must be precise and well-controlled. As robots are asked to do more as industry becomes more familiar with the technology, there will be an increasing need for high accuracy ...