An intelligent transportation system is one of the fundamental goals of the smart city concept.
The Internet of Things (IoT) concept is a basic instrument to digitalize and automatize the …

Timely and accurate traffic flow forecasting is open challenging. Canonical long short-term
memory (LSTM) network is considered qualified to capture the long-term temporal …

In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive
cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users, which …

Highlights•Both acoustic and visual features were investigated for pig cough.•A hybrid
feature vector created by early feature fusion enhanced recognition performance of pig …

Speech with high sound quality and little noise is central to many of our communication
tools, including calls, video conferencing and hearing aids. While human ratings provide the …

This paper proposes a time prediction model based on Kalman filtering and LSTM, namely
the Kalman LSTM model, which is used to predict time series data with long-term and short …

Traffic flow prediction is an essential foundation of intelligent traffic management, and its
accuracy and timeliness are essential indicators for effective traffic diversion and alleviation …

Establishing an accurate short-term traffic flow prediction model is an important part of the
intelligent transportation system (ITS). However, due to the nonlinear and stochastic …

Intelligent recognition of audio scene aims to analyze the environment information of audio
signal with computer, which has important research significance. The audio scene …

Log-Mel spectrogram for the convolutional neural network (CNN) and wavelet time
scattering for Ensemble of subspace discriminant classifiers is used for classifying acoustic …