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Found 6 papers, 1 papers with code
Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset
Furthermore, we provide a comprehensive analysis of energy consumption modelling based on the dataset using a set of representative machine learning algorithms and compare their performance against the contemporary mathematical models as a baseline.
Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning
Our findings show that FL methods can effectively improve the performance of BEV energy consumption prediction while maintaining user privacy.
A Review on AI Algorithms for Energy Management in E-Mobility Services
E-mobility, or electric mobility, has emerged as a pivotal solution to address pressing environmental and sustainability concerns in the transportation sector.
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems
The Intelligent Transportation System (ITS) is an important part of modern transportation infrastructure, employing a combination of communication technology, information processing and control systems to manage transportation networks.
Isotonic Data Augmentation for Knowledge Distillation
However, we found critical order violations between hard labels and soft labels in augmented samples.
Image super-resolution reconstruction based on attention mechanism and feature fusion
Aiming at the problems that the convolutional neural networks neglect to capture the inherent attributes of natural images and extract features only in a single scale in the field of image super-resolution reconstruction, a network structure based on attention mechanism and multi-scale feature fusion is proposed.
