A knowledge-driven graph convolutional network for abnormal electrocardiogram diagnosis.
Knowl. Based Syst., 2024
Towards real-time practical image compression with lightweight attention.
Expert Syst. Appl., 2024
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks.
CoRR, 2024
Simplifying Kinematic Parameter Estimation in sEMG Prosthetic Hands: A Two-Point Approach.
CoRR, 2024
Security Analysis of WiFi-based Sensing Systems: Threats from Perturbation Attacks.
CoRR, 2024
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Hybrid Aggregation Transformer with Flexible Feature Fusion Module for MRI super-resolution.
Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science, 2024
NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Long-term electrocardiogram signal quality assessment pipeline based on a frequency-adaptive mean absolute deviation curve.
Appl. Intell., September, 2023
Hypergraph and cross-attention-based unsupervised domain adaptation framework for cross-domain myocardial infarction localization.
Inf. Sci., July, 2023
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification.
Expert Syst. Appl., July, 2023
A robust myocardial infarction localization system based on multi-branch residual shrinkage network and active learning with clustering.
Biomed. Signal Process. Control., 2023
Efficient Lightweight Attention Based Learned Image Compression.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023
A novel myocardial infarction localization method using multi-branch DenseNet and spatial matching-based active semi-supervised learning.
Inf. Sci., 2022
Plate configuration for biological reconstructions of femoral intercalary defect - a finite element evaluation.
Comput. Methods Programs Biomed., 2022
A Dual Arrhythmia Classification Algorithm Based on Deep Learning and Attention Mechanism Incorporating Morphological-temporal Information.
Proceedings of the International Joint Conference on Neural Networks, 2022
Research Status and Development of Food Safety Based on Social Network.
Proceedings of the Digitalization and Management Innovation, 2022
A Study on Governance Mechanism for Food Safety Risk Behavior of Food Enterprises in Beijing Based on the HFACS Model.
Proceedings of the Digitalization and Management Innovation, 2022
MFB-LANN: A lightweight and updatable myocardial infarction diagnosis system based on convolutional neural networks and active learning.
Comput. Methods Programs Biomed., 2021
Low-Dimensional Depth Local Dual-View Features Embedded Transformer for Electrocardiogram Signal Quality Assessment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Electrical Sensing and Control Information Flows Optimization Algorithm in Cyber Power Physical System.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
LiteNet: Lightweight Neural Network for Detecting Arrhythmias at Resource-Constrained Mobile Devices.
Sensors, 2018
Multi-Channel Lightweight Convolution Neural Network for Anterior Myocardial Infarction Detection.
Proceedings of the 2018 IEEE SmartWorld, 2018
Design of Smart Home Control System Based on ZigBee and Embedded Web Technology.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012