Frank Kulwa

Orcid: 0000-0001-7003-1716

According to our database1, Frank Kulwa authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition.
IEEE Trans. Hum. Mach. Syst., February, 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
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

2020
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.
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

2019
A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.
IEEE Access, 2019


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