Mojisola Grace Asogbon
Name | Mojisola Grace Asogbon |
---|---|
Job title | Early Career Academic - Data Science |
Research institute | College of Science and Engineering |
Research outputs
A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems
Kulwa, F., Samuel, O.W., Asogbon, M., Oyemakinde, T.T., Obe, O.O. and Li, G. 2023. A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems. 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE. https://doi.org/10.1109/MeMeA57477.2023.101719101
total views of outputs1
total downloads of outputs0
views of outputs this month0
downloads of outputs this month