Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Sensors, computer vision models, and artificial intelligence have combined to help CEAT Tyres’ Chennai factory reduce defects, waste and energy use, a.

Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Abstract: We present a novel setting of active learning (AL) where multiple target models are simultaneously learned. This setting arises in real-world applications where machine learning systems ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

Summer learning loss, also known as the “summer slide,” represents a significant challenge in education where students experience academic regression during extended breaks from formal instruction.

Cadmium (Cd), a toxic heavy metal, poses a growing threat to food safety through its accumulation in crops. Wheat, in particular, tends to absorb more cadmium than rice due to its higher internal ...

This schematic illustrates the full workflow of a new study that integrates field and literature data, correlation analysis, and predictive modeling—including machine learning and geochemical ...