Latest Articles for Calibration

New methods and technologies aim to improve astrometric precision in astronomy.

Efficient data processing enhances solar studies from space missions.

Examining bias in AI algorithms affecting medical diagnoses for diverse populations.

A new method enhances VNA calibration without needing a thru standard.

Exploring new methods for accurate luminosity measurement in particle colliders.

New calibration method enhances reliability of deep learning model predictions.

A new approach to enhance prompt selection accuracy in language models.

This article discusses the calibration and analysis of polarization data from uGMRT.

A new method aims to improve accuracy in question answering systems.

Study examines calibration accuracy of X-ray instruments in observing galaxy clusters.

Efforts to improve accuracy in optical tweezers through better calibration techniques.

New robotic arms improve imaging quality in X-ray computed tomography.

Atypicality impacts the reliability of machine learning predictions significantly.

CANVI improves prediction reliability in variational inference for various applications.

Exploring how ice contamination impacts spacecraft operations and strategies for management.

Innovative techniques improve detection of early universe signals.

A new method enhances market simulation accuracy by calibrating agent behaviors.

A new method enhances PSF accuracy in single-molecule localization microscopy.

A look at conformal prediction to improve AI reliability.

This study evaluates the calibration of probabilistic predictions in neural regression models.

A new method streamlines sensor calibration with cost-effective solutions.

Assessing the role of generative networks in simulating particle physics data.

A method to enhance smaller models for better reliability and performance.

Exploring the role of Type II supernovae in measuring distances across the universe.

Researchers propose a novel approach for accurate permittivity measurements using s-SNOM technology.

A study of coupled pendulums uncovers behaviors akin to quantum systems.

Addressing the calibration challenge in deep learning with Mixup techniques.

Calibrated propensity scores enhance treatment effect estimates in observational studies.

Enhancing predictive maintenance through better fault detection with calibration methods.

A new method uses neural networks to measure magnetic fields in inaccessible vacuum chambers.

A new approach to enhance trust in object detection through reliable calibration techniques.

New methods enhance object detection accuracy and reliability for safety-critical systems.

CSSLR enhances logistic regression model selection, improving reliability and transparency.

Learn how Bayesian deep learning enhances prediction accuracy and reliability.

Control robots easily with smartwatches for seamless human-robot interaction.

Radon gas plays a key role in calibrating liquid xenon detectors for rare event detection.

A novel method for VNA switch terms measurement enhances flexibility in microwave testing.

Exploring the role of 4D mmWave radar in self-driving technology.

A look into the significance of neutrinoless double-beta decay in physics.

Study reveals methods to improve gamma-ray detection accuracy in germanium detectors.