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Found 15 papers, 2 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.
Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services
In response to the escalating global challenge of increasing emissions and pollution in transportation, shared electric mobility services, encompassing e-cars, e-bikes, and e-scooters, have emerged as a popular strategy.
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.
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Nowadays, transformer-based models gradually become the default choice for artificial intelligence pioneers.
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN
Microservice-based architecture has become prevalent for cloud-native applications.
Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention
In this paper, we focus on the detection of traffic flow anomaly due to drivers' lane change intention on the highway traffic networks after a VSL system.
Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning
Second language learning can be enabled by tandem collaboration where students are grouped into video conference calls while learning the native language of other student(s) on the calls.
A Comparative Study on Energy Consumption Models for Drones
Creating an appropriate energy consumption prediction model is becoming an important topic for drone-related research in the literature.
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles
Recently, there has been an increasing interest in the roll-out of electric vehicles (EVs) in the global automotive market.
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes
Accurately forecasting transportation demand is crucial for efficient urban traffic guidance, control and management.
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence
In this paper, we investigate a key problem of Internet of Things (IoT) applications in practice.
Attention Based Video Summaries of Live Online Zoom Classes
We can also factor in other criteria into video summary generation such as parts where the student was not paying attention while others in the class were, and parts of the video that other students have replayed extensively which a given student has not.
Reinforcement Learning on Computational Resource Allocation of Cloud-based Wireless Networks
This paper models this dynamic computational resource allocation problem into a Markov Decision Process (MDP) and designs a model-based reinforcement-learning agent to optimise the dynamic resource allocation of the CPU usage.
