The impact of the automated ball-strike system (ABS) on baseball: A deep learning based counterfactual approach
Published online on November 25, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, Ahead of Print.
This study investigated the impact of an automated ball-strike system (ABS) on baseball game dynamics and pitcher performance using a deep learning-based counterfactual approach. We developed deep neural network (DNN) models to predict game duration, ...
This study investigated the impact of an automated ball-strike system (ABS) on baseball game dynamics and pitcher performance using a deep learning-based counterfactual approach. We developed deep neural network (DNN) models to predict game duration, ...