Predictions and mechanism analyses of the fatigue strength of steel based on machine learning

F Yan, K Song, Y Liu, S Chen, J Chen - Journal of Materials Science, 2020 - Springer
… Therefore, this study not only established a more accurate predictive model, but also
interpreted the fatigue strength predictions using Shapley additive explanations (SHAP) [24]. This …

An explainable artificial intelligence approach to understanding drivers of economic energy consumption and sustainability

PR Srivastava, SK Mangla, P Eachempati, AK Tiwari - Energy Economics, 2023 - Elsevier
… through the explainable artificial intelligence Shapley framework, which scientifically …
such as electric vehicles, hydrogen fuel cell vehicles, and other alternative fuel vehicles. These …

Modeling driving styles of online ride-hailing drivers with model identifiability and interpretability

Y Ma, Z Xie, W Li, S Chen - Travel Behaviour and Society, 2023 - Elsevier
… We then employed the Shapley additive explanation, referred to as ‘SHAP’, to explain
and interpret the effects of the influential factors on the driving styles from four perspectives: …

[HTML][HTML] Optimal Charging Station Placement and Scheduling for Electric Vehicles in Smart Cities

F Alanazi, TO Alshammari, A Azam - Sustainability, 2023 - mdpi.com
… The graph indicates that the percentage of battery electric vehicles (BEV) and plug-in hybrid
electric vehicles (PHEV) has continuously increased over the years. The percentage of BEV …

Traffic order analysis of intersection entrance based on aggressive driving behavior data using CatBoost and SHAP

X Zhao, H Qi, Y Yao, M Guo, Y Su - Journal of transportation …, 2023 - ascelibrary.org
… In this study, categorical boosting (CatBoost) and Shapley additive explanation (SHAP)
were used to analyze the impact of features on traffic order using a set of multisource data that …

[PDF][PDF] Reducing Information Asymmetry in used-car markets by using Machine Learning Models

Q Han - 2020 - run.unl.pt
… ’s features and current and past listings of similar vehicles. Finally, a recommendation for the
… used-car platform and that electric vehicles are rather new. Hence, it is unlikely that they are …

[HTML][HTML] The Shapley value for a fair division of group discounts for coordinating cooling loads

S Maleki, T Rahwan, S Ghosh, A Malibari… - PloS one, 2020 - journals.plos.org
… and propose the use of the Shapley value from cooperative game … However, applying the
Shapley value in this setting presents … We show that, due to the linearity property of the Shapley

[HTML][HTML] Harnessing eXplainable artificial intelligence for feature selection in time series energy forecasting: A comparative analysis of Grad-CAM and SHAP

C Van Zyl, X Ye, R Naidoo - Applied Energy, 2024 - Elsevier
… in technology like solar panels and electric vehicles. These factors can alter the energy …
Mapping (Grad-CAM) and SHapley Additive exPlanations (SHAP) by examining their ability …

Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development

G Sariyer, SK Mangla, ME Sozen, G Li, Y Kazancoglu - Omega, 2024 - Elsevier
… We aim to explain the predictions both with the most widely used technique of XAI, Shapley
additive explanation (SHAP) and in the light of the rules presented. To predict the total public …

[HTML][HTML] A profit distribution model of reverse logistics based on fuzzy DEA efficiency—modified shapley value

J Song, X Ma, R Chen - Sustainability, 2021 - mdpi.com
… The traditional Shapley value model is often used to distribute cooperative profit. Since its …
Then, we define the characteristic function of alliance and propose a modified Shapley value …