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 ...

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 ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

There is a strong correlation between physical health and metal ion levels in biological fluids, making them an attractive analyte for noninvasive health monitoring. Given the pressing need for ...

No previous knowledge of pattern recognition or machine learning concepts is assumed. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as ...

The suggested antenna makes it easier to create dynamic radiation patterns that may be utilized to reconfigure the coverage area as required in accordance with the spatial-temporal user and traffic ...