Frank Kulwa
Orcid: 0000-0001-7003-1716
According to our database1,
Frank Kulwa
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
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
2023
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
2022
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
2021
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
2020
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
IEEE Access, 2020
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020
2019
A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.
IEEE Access, 2019