Data-Model Hybrid-Driven Safe Reinforcement Learning for Adaptive Avoidance Control Against Unsafe Moving Zones.

Adaptive Dynamic Surface Control With Disturbance Observer for Oxygen-Excess Ratio of Proton Exchange Membrane Fuel Cell Systems.

Fault-Tolerant Attitude Tracking Control Driven by Spiking NNs for Unmanned Aerial Vehicles.

DFE: Deep Flow Embedding for Robust Network Traffic Classification.

Dynamic Path Gain Compensation for Enhancing Intracardiac Communication in Leadless Pacemakers.

A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks.

Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity.

Neuroadaptive Tracking Control of Affine Nonlinear Systems Using Echo State Networks Embedded With Multiclustered Structure and Intrinsic Plasticity.

A Two-Stream Hybrid Convolution-Transformer Network Architecture for Clothing-Change Person Re-Identification.

Spiking neural networks in intelligent control systems: a perspective.

Emotion recognition based on multimodal physiological signals using spiking feed-forward neural networks.

Dynamic adjustment neural network-based cooperative control for vehicle platoons with state constraints.

Highway Connection for Low-Latency and High-Accuracy Spiking Neural Networks.

Disturbance Decoupling Problem of Delayed Boolean Networks Based on the Network Structure.

Exponential Information Bottleneck Theory Against Intra-Attribute Variations for Pedestrian Attribute Recognition.

Intrinsic Plasticity for Online Unsupervised Learning Based on Soft-Reset Spiking Neuron Model.

Event-triggered cooperative control for high-order nonlinear multi-agent systems with finite-time consensus.

Event-Driven Intrinsic Plasticity for Spiking Convolutional Neural Networks.

Self-Evolutionary Neuron Model for Fast-Response Spiking Neural Networks.

Robust clothing-independent gait recognition using hybrid part-based gait features.

Second-order information bottleneck based spiking neural networks for sEMG recognition.

Robust set stability of probabilistic Boolean networks under general stochastic function perturbation.

Intrinsic Plasticity-Based Neuroadptive Control With Both Weights and Excitability Tuning.

Event-Based Output Regulation of Boolean Control Networks With Time Delay.

Improved integrate-and-fire neuron models for inference acceleration of spiking neural networks.

Neuro-adaptive cooperative control for high-order nonlinear multi-agent systems with uncertainties.

Finite-time output tracking of probabilistic Boolean control networks.

Imbalanced dataset-based echo state networks for anomaly detection.

Fast and robust learning in Spiking Feed-forward Neural Networks based on Intrinsic Plasticity mechanism.

Intrinsic Plasticity Based Inference Acceleration for Spiking Multi-Layer Perceptron.

Spiking Echo State Convolutional Neural Network for Robust Time Series Classification.

Phase Space Reconstruction-Based Conceptor Network for Time Series Prediction.