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 …

Acute hypotensive episode (AHE) is a common serious postoperative complication in ICU,
which may raise multiple system failure (especially of cardiac and respiratory kinds), and …

Recently, Internet finance is increasingly popular. However, bad debt has become a serious
threat to Internet financial companies. The fraud detection models commonly used in …

The 2019 coronavirus (COVID-19) disease has caused devastation all over the world and is
underway in great efforts to control it. In the present time, one of the important interests of …

Acoustic scene recognition (ASR), recognizing acoustic environments given an audio
recording of the scene, has a wide range of applications, eg robotic navigation and audio …

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 …

Background: The physical activity and health status of the students in China are not
optimistic, there is a general lack of exercise volume and exercise intensity. Normal college …

Recently, the rise in student numbers has led to the establishment of many new colleges
and universities in China. As a result, there has been a significant increase in data collection …

Determining the classification of motor competence is an essential aspect of physical activity
that must be carried out during school years. The objective is to evaluate motor competence …

Accurate and real-time short-term traffic flow forecasting is an important prerequisite for
traffic guidance and control. A single forecasting method is difficult to handle all the …