Path planning is one of the most crucial elements in the field of robotics, such as
autonomous driving, minimally invasive surgery and logistics distribution. This review begins …

As a branch of artificial intelligence (AI), expert systems are well-known for interpreting and
deducing solutions to problems based on the rules contained within a knowledge base …

In this paper, a novel light-weight differentiable architecture search (ℓ-DARTS) model is
proposed to address the challenge of balancing search efficiency and accuracy commonly …

The imbalanced development between deep learning-based model design and motor
imagery (MI) data acquisition raises concerns about the potential overfitting issue—models …

This article is concerned with the secure state estimation problem for artificial neural
networks (ANNs) subject to unknown-but-bounded noises, where sensors and the remote …

Because of the intricate topological structure and connection of the human brain, extracting
deep spatial features from electroencephalograph (EEG) signals is a challenging and time …

Stochastic configuration network (SCN) is a powerful prediction model whose performance
is significantly influenced by the configuration of the network parameters. To improve the …

The excitatory autapse has been discovered recently by researchers in the pyramidal
neurons, which could regulate the neuronal firing, while the spiking properties of the neuron …