Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.

Abstract: - this paper proposes a novel approach in decision making in the agriculture sector by combining Bayesian inference with machine learning techniques, specifically random forest (RF). Using a ...