Tag: calibration

A machine learning model trained on routine laboratory tests identified comorbid heart failure in patients with chronic obstructive pulmonary disease.

A new phase correction method improves the accuracy of FTIR emission spectroscopy by accounting for errors in finite interferograms.

Brief metacognitive practice combining confidence predictions with immediate performance feedback significantly improves judgment calibration and helps individuals adopt more optimal ...

AutoVNA is a new software environment that automates measurements using low-cost NanoVNA network analyzers, integrating external device control and data ...

A new risk screening model validated in 552 older patients identifies ten key factors for predicting frailty in those with ...

A study in Aerosol and Air Quality Research shows that low-cost air quality sensors require region-specific machine learning calibration to ...

Researchers developed a physics-guided uncertainty calibration framework that significantly improves probabilistic forecast accuracy for heavy and extreme rainfall regimes while ...

A within-subject agreement study demonstrates that 60-minute 18F-flutemetamol PET scans on digital SiPM PET/CT can be calibrated to standard 90-minute ...

Researchers from the Central Institute of Agricultural Engineering in Bhopal, India, have developed and calibrated a multi-rotor drone system designed ...

A new review in Machine Learning with Applications examines the architectures, pretraining strategies, and benchmarking challenges of tabular foundation models, ...