Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in ...

Priya Dharshini Kalyanasundaram has never drawn that distinction. Fourteen years spent building machine-learning controls for ...

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 ...

Professional basketball is faster, more physical, and increasingly tactically sophisticated. Even the smallest foul can tilt ...

Pattern analysis constitutes a critical building block in the development of gas sensor array instruments capable of detecting, identifying, and measuring volatile compounds, a technology that has ...

A novel deep architecture, the sparse deep tensor extreme learning machine (SDT-ELM), is presented as a tool for pattern classification. In extending the original ELM, the proposed SDT-ELM gains the ...