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Found 7 papers, 4 papers with code
Complex-Valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming
The complex-valued network operations proposed in this study improve the beamforming accuracy of complex-valued ultrasound signals over traditional real-valued methods.
Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulence Prediction
In our experiments, MSU extracts one point from a velocity field containing 121 points and utilizes this point to accurately predict 100 pressure points on the cylinder.
Dendritic Learning-incorporated Vision Transformer for Image Recognition
DVT is a groundbreaking Biomimetic Vision Transformer that combines dendritic learning and Vision Transformer architecture, showcasing superior image recognition performance through biologically inspired structures.
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization
Recently, a novel mathematical ANN model, known as the dendritic neuron model (DNM), has been proposed to address nonlinear problems by more accurately reflecting the structure of real neurons.
Pareto Dominance Archive and Coordinated Selection Strategy-Based Many-Objective Optimizer for Protein Structure Prediction
One of the efficient tools to describe this information is protein energy functions.
Differentiable Search of Accurate and Robust Architectures
Deep neural networks (DNNs) are found to be vulnerable to adversarial attacks, and various methods have been proposed for the defense.
ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection
This proposed method, adaptive step length based on memory selection BSO, namely ASBSO, applies multiple step lengths to modify the generation process of new solutions, thus supplying a flexible search according to corresponding problems and convergent periods.
