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Found 5 papers, 0 papers with code
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
To achieve a more robust causal inference result, this publication proposes a novel data-driven two-phase multi-split causal ensemble model to combine the strengths of different causality base algorithms.
A Scoping Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI Methods
However, there is no comprehensive investigation into energy-efficient driving behaviors and strategies.
A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications
Advanced machine learning algorithms are increasingly utilized to provide data-based prediction and decision-making support in Industry 4. 0.
More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning
The experimental results demonstrate that JGRM outperforms existing methods in both road segment representation and trajectory representation tasks.
Eco-driving Intelligent Systems and Algorithms: A Patent Review
To address this research gap, this paper provides a patent overview of eco-driving intelligent systems and algorithms.
