Latest Articles for Calibration

Exploring the polarimetric PHASR Scanner's potential in medical and industrial fields.

New methods improve signal capture and data interpretation in radio astronomy.

Researchers present a new technique to improve X-ray data analysis for space missions.

Assessing the reliability of AI-produced summaries for improved software maintenance.

Researchers develop methods to improve calibration of black hole and galaxy models.

A new calibration method enhances AR integration in surgical procedures.

A new calibration strategy improves modeling of salt rock for hydrogen storage.

Research develops models to predict outcomes for kidney transplants using extensive data.

Multicalibration enhances LLM accuracy by refining confidence scores and addressing hallucinations.

A new method simplifies 3D motion capture using automated camera calibration.

A new method enhances image classification accuracy by focusing on context.

Learn how to make better predictions and decisions by minimizing swap regret.

LoRA-Ensemble combines models for better predictions and uncertainty management.

Timepix4 chip improves timing resolution for particle detection in various fields.

Combining generative models and maximum likelihood estimation enhances detector calibration precision.

Investigating LoRA's effects on fairness across different groups in machine learning.

Researchers use phase-field modeling to predict how materials fracture under stress.

This article discusses essential calibration methods for object detectors in critical applications.

A practical approach to measure drift velocity using Geometry Reference Chamber in TPCs.

A precision system for calibrating sensors in dark matter and quantum computing research.

New methods enhance observation of Earth-like exoplanets using advanced coronagraph technology.

A new method improves confidence scoring in language models using stable explanations.

A look at how calibrated sensitivity models improve causal inference in studies.

Exploring new methods and sensors for effective polarization imaging.

Focused observations to enhance understanding of galaxies, supernovae, and dark energy.

Study focuses on vehicle following behavior and leader-follower pairs in chaotic traffic.

A deep look into path-dependent volatility and its impact on options pricing.

Introducing Deep Double Poisson Networks for better discrete predictions.

The NI-CU ensures accurate measurements for the NISP study of the dark universe.

This study focuses on refining models to simulate neuronal growth using Bayesian methods.

A look at the role of precise measurements in understanding the universe.

A new technique enhances neural network prediction reliability through geometric adjustments.

LZ detector aims to uncover mysteries of dark matter through advanced technology and analysis.

Researchers develop a fast emulator for complex computer models.

Investigating neutrinos using the NEXT-White detector for improved energy resolution.

Two innovative calibration methods enhance cardiovascular model accuracy for patient care.

TRGB serves as a crucial distance measurement tool in the cosmos.

A new method enhances financial simulations using detailed Limit Order Book data.

POLAR-2 aims to enhance our understanding of gamma-ray bursts through polarization measurements.

The PAU Survey enhances astronomical imaging through precise calibration techniques.