Adapting Image Classification Adversarial Detection Methods for Traffic Sign Classification in Autonomous Vehicles: A Comparative Study.
IEEE Trans. Intell. Transp. Syst., November, 2024
A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition.
IEEE Trans. Hum. Mach. Syst., February, 2024
Exploring EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis.
IEEE Trans. Instrum. Meas., 2024
A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization.
Biomed. Signal Process. Control., 2024
CEBRA Method: Decoding Brain Activity for Advanced Brain-Computer Interface Technology.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
An Efficient Deep Transfer Learning Network for Characterization of Stroke Patients' Motor Execution from Multi-Channel EEG-Recordings.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024
Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems.
IEEE Trans. Biomed. Eng., May, 2023
Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features.
Biomed. Signal Process. Control., 2023
A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
Enhanced Deep Transfer Learning Model based on Spatial-Temporal driven Scalograms for Precise Decoding of Motor Intent in Stroke Survivors.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Analyzing the Impact of Varied Window Hyper-parameters on Deep CNN for sEMG based Motion Intent Classification.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis.
CoRR, 2021
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks.
CoRR, 2021
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.
Comput. Biol. Medicine, 2021
A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation.
CoRR, 2020
An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.
IEEE Access, 2020
Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos.
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IEEE Access, 2020
A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020
A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.
IEEE Access, 2019