Latest Articles for Data Analysis

This study explores physics-informed machine learning for improving gold flotation process predictions.

A study comparing missing-at-random and latent missing-at-random assumptions.

Learn a method to locate the lowest point of a Brownian bridge efficiently.

A new method enhances stock market predictions after earnings reports using AI.

LASPATED helps analyze data with location and time aspects for better insights.

New method for drawing districts focuses on community ties and representation.

Learn how population data enhances prediction accuracy in uncertain models.

A study on the effectiveness of QGANs versus Markov models in eye tracking.

A look at how optical reservoir computing improves stock price forecasting.

A new approach to study complex social behaviors using simulations.

Research highlights traffic patterns and congestion near UNCC using iterative methods.

This article discusses the role of machine learning in understanding animal behavior.

Research focuses on better summarization of spoken conversations across languages.

Research sheds light on complex particle decay behaviors through precise analysis.

This study examines the impact of mean and median brightness on Cepheid distance calculations.

This article reviews how researchers apply data to study dark energy and cosmological models.

A new method improves traffic sensor location efficiency using graph cuts.

This article discusses using reinforcement learning to manage noise in quantum computing.

NIRVAR analyzes complex time series as networks, enhancing predictive accuracy across various fields.

A fast method for simulating stellar streams from globular clusters is developed.

A new approach leverages firm expectations to improve production function estimates.

ProtNote enhances predictions by combining protein sequences and text descriptions.

Investigating galaxy correlations to improve our grasp of the universe's structure and evolution.

Explore the impact of historical control data in toxicology studies.

ByCAN automates the reverse engineering of CAN messages for improved vehicle communication.

Examining the growth and challenges of prediction models in patient care.

A new technique enhances climate models for better extreme weather predictions.

Learn efficient methods for generating random numbers in programming.

A study on wealth estimation models across Sub-Saharan Africa.

Discover how Huge Ensembles improve accuracy in weather predictions.

A new framework utilizes machine learning for efficient literature review in astronomy.

A new framework improves how models recognize actions in videos.

This paper discusses improving digital twins for reliable risk assessment and decision-making.

This article examines Bayes posteriors in nonlinear inverse problems from a frequentist view.

The LSST project aims to deepen our understanding of Jupiter-family comets.

A new Bayesian approach enhances Gaussian processes for better prediction and uncertainty handling.

A new method enhances accuracy and speed in spine model calibration using machine learning.

Merging remote sensing maps with ground truth data enhances accuracy in environmental assessments.

This article discusses a new model for analyzing spatio-temporal data.

New confidence sequences improve uncertainty estimation in statistical models.