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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.
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.
A Scoping Review of Energy Load Disaggregation
Energy load disaggregation can contribute to balancing power grids by enhancing the effectiveness of demand-side management and promoting electricity-saving behavior through increased consumer awareness.
Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series KMeans Clustering and Multi-Criteria Decision Making
The study successfully identified the cluster with the best performance.
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