Diabetes mellitus is often a hyperglycemic condition that poses a substantial threat to human
health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of …

Datasets comprise a collection of features; however, not all of these features may be
necessary. Feature selection is the process of identifying the most relevant features while …

Accurate credit risk prediction can help companies avoid bankruptcies and make
adjustments ahead of time. There is a tendency in corporate credit risk prediction that more …

This paper proposes two nonlinear estimation approaches, namely based on Extended
Kalman Filter (EKF) and a Takagi-Sugeno Fuzzy Observer with 32 rules (TSFO-32), for a …

COVID-19 is a respiratory infection caused by a coronavirus that spreads from person to
person. In the present situation, the COVID-19 pandemic is a swiftly rising phase. Now the …

Chinese New Year prints constitute a significant component of the country's cultural heritage
and folk art. Yangliuqing New Year prints are the most important and widely circulated of all …

Spiking neural network (SNN) based on sparse triggering and event-driven is a hardware-
friendly model. SNN can provide an ultra-low power alternative for the deep neural network …

Management becomes more challenging as machinery becomes more widely used. From
the health management history case records of mechanical devices, we can find that there …

The prediction of the driver's focus of attention (DFoA) is becoming essential research for the
driver distraction detection and intelligent vehicle. Therefore, this work makes an attempt to …

Industrial cyber-physical systems (ICPSs) are facing increasing cyber threats that can cause
catastrophes in the physical systems. Efficient network traffic anomaly detection is essential …