Oct 4, 2021 · MSCPT: Toward Cross-Place Transportation Mode Recognition Based on Multi-Sensor Neural Network Model. Abstract: With the ever-increasing ...
In MSCPT, we propose a multi-sensor neural network, which leverages multiple one- dimensional sensor SF-SEDNets to extract spatial-temporal and spectral fusion ...
Oct 8, 2021 · Towards this end, we propose a robust cross-place transportation mode recognition algorithm, which consists of three parts: Multi-Sensor Neural ...
IEEE Sensors Journal, 2024. 3, 2024. MSCPT: toward cross-place transportation mode recognition based on multi-sensor neural network model. Y Zhu, H Luo, R Chen ...
Zhu et al. MSCPT: toward cross-place transportation mode recognition based on multi-sensor neural network model. IEEE Trans. Intell. Transp. Syst. (2021). F ...
The feature representation learning of multiple preprocessed sensor data using temporal convolutional networks can improve transportation mode detection ...
We propose a human activity recognition method using Independently Recurrent Neural Network (IndRNN) on the spectrum for the Sussex-Huawei ...
Sep 10, 2024 · MSCPT: Toward Cross-Place Transportation Mode Recognition Based on Multi-Sensor Neural Network Model. ... Toward improving indoor magnetic field- ...
Zhu, MSCPT: toward cross-place transportation mode recognition based on multi-sensor neural network model, IEEE Trans. ... based transportation mode detection ...
This paper proposes a novel transportation mode recognition algorithm consisting a multi-head attention (MHA) mechanism, temporal convolutional network (TCN) ...
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