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Dr Solomon H. Ebenuwa
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Variance ranking attributes selection techniques for binary classification problem in imbalance data
SH Ebenuwa, MS Sharif, M Alazab, A Al-Nemrat
IEEE access 7, 24649-24666, 2019
1192019
A deep learning approach for human activities recognition from multimodal sensing devices
IK Ihianle, AO Nwajana, SH Ebenuwa, RI Otuka, K Owa, MO Orisatoki
IEEE Access 8, 179028-179038, 2020
792020
Image processing system using MATLAB-based analytics
GK Ijemaru, AO Nwajana, EU Oleka, RI Otuka, IK Ihianle, SH Ebenuwa, ...
Bulletin of Electrical Engineering and Informatics 10 (5), 2566-2577, 2021
202021
Symmetric 3dB filtering power divider with equal output power ratio for communication systems
AO Nwajana, RI Otuka, SH Ebenuwa, IK Ihianle, SO Aneke, AA Edoh
2020 International conference on electrical, communication, and computer …, 2020
72020
Variance ranking for multi-classed imbalanced datasets: A case study of One-Versus-All
SH Ebenuwa, MS Sharif, A Al-Nemrat, AH Al-Bayatti, N Alalwan, ...
Symmetry 11 (12), 1504, 2019
42019
Exploiting Patterns of Object Use for Human Activity Recognition
IK Ihianle, S Islam, U Naeem, SH Ebenuwa
Handbook of Research on 5G Networks and Advancements in Computing …, 2021
2021
Handling Imbalanced Classes: Feature Based Variance Ranking Techniques for Classification
S Ebenuwa
University of East London, 2019
2019
A Deep Learning Approach for Human Activities Recognition from Multimodal Sensing Devices.
SH EBENUWA, RI OTUKA, K OWA, MO ORISATOKI
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