The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …

Autism spectrum disorders (ASD) are a diverse group of conditions characterized by
difficulty with social interaction and communication. ASD is expected to be a high‐risk …

The accelerated rise of new technologies has reshaped the manufacturing industry of
contemporary vehicles. Numerous technologies and applications have completely …

Walking is a fundamental mode of transport for many people globally, with immense health
and environmental benefits. However, increased walking is associated with an increased …

Quantile regression neural network (QRNN) model has received wide attentions in recent
years to explore complex nonlinear problems. However, when the responses yi are subject …

Pedestrian detection has been researched for decades. Recently, an anchor-free method
CSP is proposed to generate the pedestrian bounding box directly. When the predicted …

Rapid advances in technology and shifting tastes among motorists have reworked the
contemporary automobile production sector. Driving is now much safer and more convenient …

The key to skeleton-based action recognition is how to extract discriminative features from
skeleton data. Recently, graph convolutional networks (GCNs) are proven to be highly …