Jianli Yang
Orcid: 0000-0003-1919-2113
According to our database1,
Jianli Yang
authored at least 16 papers
between 2015 and 2024.
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Bibliography
2024
Short-term paroxysmal atrial fibrillation detection with intra- and inter-patient paradigm based on R-R intervals.
Biomed. Signal Process. Control., 2024
Hyper-graph matching D2D offloading scheme for enhanced computation and communication capacity.
Ad Hoc Networks, 2024
The Weighted Group Consensus for a Kind of Discrete Heterogeneous Multi-Agent Systems With Time Delay and Packet Loss in Cooperative-Competitive Networks Based on Self-Adaptive Controller.
IEEE Access, 2024
2023
Intelligent prediction of sudden cardiac death based on multi-domain feature fusion of heart rate variability signals.
EURASIP J. Adv. Signal Process., December, 2023
FCG-Net: An innovative full-scale connected network for thyroid nodule segmentation in ultrasound images.
Biomed. Signal Process. Control., September, 2023
Biomed. Signal Process. Control., July, 2023
Cross-subject classification of depression by using multiparadigm EEG feature fusion.
Comput. Methods Programs Biomed., May, 2023
Automated Localization of Myocardial Infarction From Vectorcardiographic via Tensor Decomposition.
IEEE Trans. Biomed. Eng., March, 2023
IEEE Trans. Instrum. Meas., 2023
Design and Implementation of Speech Signal Feature Extraction Algorithm Based on MATLAB.
Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023
2022
Frontiers Comput. Neurosci., 2022
Localization of myocardial infarction using a multi-branch weight sharing network based on 2-D vectorcardiogram.
Eng. Appl. Artif. Intell., 2022
2021
Multi-grained cascade forest model for automatic CAD characterization on ECG segments.
Displays, 2021
2020
Coronary Artery Fibrous Plaque Detection Based on Multi-Scale Convolutional Neural Networks.
J. Signal Process. Syst., 2020
2018
A novel electrocardiogram arrhythmia classification method based on stacked sparse auto-encoders and softmax regression.
Int. J. Mach. Learn. Cybern., 2018
2015
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015