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Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models
Nature
Aquatic non-indigenous species (NIS) pose significant threats to biodiversity, disrupting ecosystems and inflicting substantial economic...
4 weeks ago
New survey on deep learning solutions for cellular traffic prediction
Tech Xplore
The bustling streets of a modern city are filled with countless individuals using their smartphones for streaming videos, sending messages...
4 months ago
A Deep Learning Framework About Traffic Flow Forecasting for Urban Traffic Emission Monitoring System
Frontiers
As urban traffic pollution continues to increase, there is an urgent need to build traffic emission monitoring and forecasting system for the urban traffic...
6 months ago
A study on deep learning model based on global–local structure for crowd flow prediction
Nature
Crowd flow prediction has been studied for a variety of purposes, ranging from the private sector such as location selection of stores...
2 months ago
Using neural networks to predict traffic flow
Eindhoven University of Technology
Yutian Liu defended her PhD thesis at the Department of Built Environment on May 13th.
3 months ago
Geometric algebra based recurrent neural network for multi-dimensional time-series prediction
Frontiers
Recent RNN models deal with various dimensions of MTS as independent channels, which may lead to the loss of dependencies between different dimensions or...
1 month ago
Mathematicians compare machine learning models for forecasting 5G and 6G traffic
Tech Xplore
5G and 6G networks must take into account the load and adapt resource consumption at every moment. To do this, they need to track current...
7 months ago
Method for multi-task learning fusion network traffic classification to address small sample labels
Nature
In the context of the proliferated evolution of network service types and the expeditious augmentation of network resource deployment,...
6 months ago
Nigeria Using Machine Learning Algorithms: A Study on Factors and
ResearchGate
PDF | This study aims to explore the use of machine learning algorithms in predicting the likelihood of road traffic accidents in Katsina...
5 months ago
Ensemble averaging deep neural network for botnet detection in heterogeneous Internet of Things devices
Nature
The botnet attack is one of the coordinated attack types that can infect Internet of Things (IoT) devices and cause them to malfunction.
5 months ago