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Found 6 papers, 1 papers with code
When Traffic Flow Prediction Meets Wireless Big Data Analytics
Traffic congestion is one of the most serious problems in a city, which can be predicted in advance by analyzing traffic flow patterns.
Deep Learning for Secure Mobile Edge Computing
Our proposed model can be used to detect malicious applications at the edge of a cellular network, which is a serious security threat.
DeepTFP: Mobile Time Series Data Analytics based Traffic Flow Prediction
However, as the mobile data of vehicles has been widely collected by sensor-embedded devices in transportation systems, it is possible to predict the traffic flow by analysing mobile data.
Triaging moderate COVID-19 and other viral pneumonias from routine blood tests
The COVID-19 is sweeping the world with deadly consequences.
Progressive Graph Convolution Network for EEG Emotion Recognition
Moreover, motivated by the observation of the relationship between coarse- and fine-grained emotions, we adopt a dual-head module that enables the PGCN to progressively learn more discriminative EEG features, from coarse-grained (easy) to fine-grained categories (difficult), referring to the hierarchical characteristic of emotion.
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition
The transfer module encodes the domain-specific information of source and target domains and then re-constructs the source domain's emotional pattern and the target domain's statistical characteristics into the new stylized EEG representations.
