This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Key Takeaways Modern bot detection blends behavior tracking, device fingerprinting, and smart machine learning to spot ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

Traditional manufacturing processes like equipment maintenance, QA/QC processes, production scheduling and supply chain ...

Berkeley scientists have developed a smartphone-based biosensor that mimics coffee-ring physics to detect disease proteins ...

The limitations of traditional pen-and-paper assessments have prompted scientists to turn to digital solutions. The study ...

According to the Virginia Department of Health (VDH), drug overdose deaths among Virginia residents decreased by 43% in 2024.

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Image courtesy by QUE.com In an era where the digital landscape is ever-evolving, cybersecurity has taken center stage as ...

trichy IIIT-A develops smart dairy monitoring system ...