Feb 1, 2022 · This paper is concerned with the use of simulation in computing predictors in settings in which real-world observations are collected.

This paper is concerned with the use of simulation in computing predictors in settings in which real-world observations are collected. A major challenge is that ...

We propose a simulation-based prediction framework which can quantify the prediction uncertainty of system future response and further guide operational ...

With the use of such methods, simulation has the potential to more accurately predict upcoming supply chain bottlenecks and to enhance predictions in the many ...

Feb 1, 2022 · In Section 6, we present the numerical performance of our proposed estimators in the container management example.

We propose a model for simulating the selection of patients over time by a clinician using a machine learning algorithm, and quantifying the expected patient.

Nov 30, 2022 · Simulations can also support predictive analysis. "The variables you're getting from simulation can feed into predictive analytics," Malik said.

This paper introduces a novel approach to estimating these parameters from radar/ADS-B data using three neural network models trained on flight simulator data.

This paper is concerned with the use of simulation in computing predictors in settings in which real-world observations are collected.

Predictive simulations can justify reducing overly conservative margins by providing accurate insights about the risks that are otherwise difficult or ...