IEEE

Kolmogorov Convolution Network: Knowledge Representation and Reasoning for Fault Diagnosis of Trolley Mechanism on Ship-to-Shore Cranes

Abstract: Accurate fault diagnosis of trolley mechanisms in ship-to-shore cranes is essential for ensuring cargo transportation at ports. While deep neural networks (DNNs) have made some achievements ...
GitHub

ElvianElvy/Graph-Convolutional-LSTM-Spatial-Temporal-GNN-

A comprehensive PyTorch-based system for predicting cryptocurrency prices using a state-of-the-art Spatial-Temporal Graph Neural Network (ST-GNN) model. This advanced implementation integrates ...
C&EN

PACMAN: A Robust Partial Atomic Charge Predicter for Nanoporous Materials Based on Crystal Graph Convolution Networks

We report a fast and easy method (PACMAN) to assign partial atomic charges on metal–organic framework (MOF) and covalent–organic framework (COF) crystal structures based on graph convolution networks ...
GitHub

LiteSpiralGCN: Lightweight 3D Hand Mesh Reconstruction via Spiral Graph Convolution

2025-2-24. Add more details on installation, training, and testing. 2025-1-23. Add more Results. 2024-5-20. Add LiteSpiralGCN model. Download the pre-trained weights of LiteSpiralGCN from Baidu cloud ...
IEEE

EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, ...
Frontiers

Robust quasi-uniform surface meshing of neuronal morphology using line skeleton-based progressive convolution approximation

Creating high-quality polygonal meshes which represent the membrane surface of neurons for both visualization and numerical simulation purposes is an important yet nontrivial task, due to their ...
Frontiers

Application of the Stacked Refraction Convolution Section to 2D Ocean Bottom Seismometer Wide-angle Seismic Data Along the Tamayo Through Basin, Gulf of California

The stacked refraction convolution section can be used as an interpretation tool in wide-angle refraction seismic data generated by air gun shooting and recorded by Ocean Bottom Seismometers (OBS).
PNAS

Robust single-cell Hi-C clustering by convolution- and random-walk–based imputation

Chromosomes are compactly folded in nuclei, and their specific 3D structures play a role in the regulation of gene expression. While cell type specificity of gene regulation has been revealed through ...