Latest Articles for Uncertainty

A method for managing uncertainties in nonlinear control systems using historical data.

Explore a new method for better managing uncertainties in control systems.

This article explores the concept of 'knowing how' and its significance across various disciplines.

A new method enhances reliability of medical imaging through uncertainty estimation.

A method to steer covariance for better control system performance amidst uncertainty.

A study on using Bayesian neural networks for improved control in uncertain environments.

AI-STEM automates the analysis of crystal structures, enhancing material science research.

Examining how choices evolve in social dilemmas with uncertainty.

Examining critiques of the connection between thermodynamic and von Neumann entropy.

A new method improves safety in robotics and self-driving vehicles by managing sensor uncertainty.

A novel approach enhances stability and information use in unpredictable control systems.

A new method improves uncertainty management in dynamic simulations of power systems.

A novel method combines visible light and thermal imagery to enhance classification accuracy.

Examining probabilistic techniques to enhance summary quality and model reliability.

ProPanDL enhances panoptic segmentation by incorporating uncertainty in object detection.

This article discusses adaptive methods to improve prediction accuracy and communication of uncertainty.

Learn how to evaluate parameter identifiability using a Bayesian approach.

Exploring neural processes and their ability to manage uncertainty in predictions.

A new method improves safety in moving obstacle environments.

An updated approach to option pricing considering market uncertainty.

A new method aims to improve trust in machine learning predictions by addressing uncertainty.

A new method for identifying network connections from time series data using neural networks.

Gravity's role in astronaut decision-making during space missions is crucial.

Introducing a method to predict human operators' goals in robotic navigation.

Exploring how robots can work together in uncertain conditions.

A new method enhances image clarity and assesses quality after cloud removal.

Techniques for better decision-making amid unpredictable conditions in various fields.

Machines must manage ethical choices as they gain decision-making roles.

A study shows how AI and uncertainty can enhance treatment options for patients.

A study on helium's three-body potential and virial coefficients reveals crucial insights.

New models aim to predict dirt accumulation on solar mirrors to enhance energy output.

Exploring new methods for controlling complex nonlinear systems using data-driven approaches.

This article discusses better data use for solar radiation predictions.

A new method enhances robot movement planning by addressing uncertainties in their surroundings.

A look into varentropy and its weighted forms for better uncertainty assessment.

This article examines the challenges of skin tone annotations in technology.

A new model enhances forecasting accuracy using dynamic graphs and advanced neural networks.

Improving synthetic data methods can lead to more reliable machine learning models.

A new method enhances image restoration by better assessing uncertainty.

Exploring regret minimization and scenario optimization for robust control strategies.