Abstract: Object identification in low-light environments presents a considerable barrier for real-time scenarios, including surveillance, security, and robots. Due to inadequate lighting and ...

Abstract: Fabric defect detection plays a crucial role in ensuring the quality of textiles, traditionally relying on manual inspection, which is time-consuming and error-prone. This study proposes an ...

A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...

Background: Mental health issues have become a significant global public health challenge. Traditional assessments rely on subjective methods with limited ecological validity. Passive sensing via ...