GitHub

Adaptive Dynamic Training Heterogeneous Graph Attention Neural Network for MicroRNA-Disease Association Prediction and Analysis Framework

This repo is the official PyTorch implementation of ADHGMDA: Adaptive Dynamic Training Heterogeneous Graph Attention Neural Network for MicroRNA-Disease Association Prediction and Analysis Framework.
GitHub

CodeAssist - AI Programming Assistant

CodeAssist is a completely private and local AI coding assistant, developed by Gensyn. It helps you practice programming problems and train a novel assistant to help you code. Unlike typical code ...
IEEE

Human Activity Recognition From Radar Signals Based on FBSE-EWT and Quantum Convolution Neural Network

Abstract: Frequency-modulated continuous wave (FMCW) radar signals reflected from the human activities are analyzed to enable accurate recognition and classification, forming the basis for activity ...
IEEE

3D Industrial Human Action Recognition Based on the Synergy Between Convolutional Neural Networks and Long Short-Term Memory

Abstract: This paper illustrates a significant contribution to Human Activity Recognition (HAR) within industrial environments. We propose a deep learning model that combines Long Short-Term Memory ...
Frontiers

Deep-sea organism detection method based on the SDA-HTransYOLOv8n model

Deep-sea organism detection is one of the key technologies in deep-sea resource research and conservation. However, challenges such as low recognition accuracy and insufficient robustness arise due to ...
Frontiers

Using deep networks for knee range of motion monitoring in total knee arthroplasty rehabilitation

Background: Knee range of motion (ROM) is a key indicator of rehabilitation after total knee arthroplasty (TKA). Current tools, such as visual and protractor measurements, are cumbersome, imprecise, ...