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Kwabena Owusu-Agyemang
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2020 – today
- 2024
- [j9]Oliver Kornyo, Benjamin Tei Partey, Michael Asante, Kwabena Owusu-Agyemang, Eric Osei Opoku, William Asiedu, Prince Clement Addo, Maxwell Dorgbefu, Jesse Damptey, Siddique Abubakr Muntaka:
Enhancing AMI network security with STI model: A mathematical perspective. Internet Things 27: 101244 (2024) - 2023
- [j8]Oliver Kornyo, Michael Asante, Richard Opoku, Kwabena Owusu-Agyemang, Benjamin Tei Partey, Emmanuel Kwesi Baah, Nkrumah Boadu:
Botnet attacks classification in AMI networks with recursive feature elimination (RFE) and machine learning algorithms. Comput. Secur. 135: 103456 (2023) - [j7]Kwabena Owusu-Agyemang, Zhen Qin, Hu Xiong, Yao Liu, Tianming Zhuang, Zhiguang Qin:
MSDP: multi-scheme privacy-preserving deep learning via differential privacy. Pers. Ubiquitous Comput. 27(2): 221-233 (2023) - 2022
- [j6]Evans Aidoo, Xun Wang, Zhenguang Liu, Edwin Kwadwo Tenagyei, Kwabena Owusu-Agyemang, Seth Larweh Kodjiku, Victor Ejianya, Esther Stacy E. B. Aggrey:
Cofopose: Conditional 2D Pose Estimation with Transformers. Sensors 22(18): 6821 (2022) - 2021
- [j5]Kwabena Adu, Yongbin Yu, Jingye Cai, Kwabena Owusu-Agyemang, Baidenger Agyekum Twumasi, Xiangxiang Wang:
DHS-CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images. Int. J. Imaging Syst. Technol. 31(4): 2075-2092 (2021) - [j4]Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Qihe Liu, Yuyu Wang, Kwabena Owusu-Agyemang:
Privacy preservation in Distributed Deep Learning: A survey on Distributed Deep Learning, privacy preservation techniques used and interesting research directions. J. Inf. Secur. Appl. 61: 102949 (2021) - [j3]Kwabena Adu, Yongbin Yu, Jingye Cai, Patrick Kwabena Mensah, Kwabena Owusu-Agyemang:
MLAF-CapsNet: Multi-lane atrous feature fusion capsule network with contrast limited adaptive histogram equalization for brain tumor classification from MRI images. J. Intell. Fuzzy Syst. 41(2): 3933-3950 (2021) - 2020
- [j2]Benjamin Appiah, Edward Yellakuor Baagyere, Kwabena Owusu-Agyemang, Zhiguang Qin, Muhammed Amin Abdullah:
Multi-Class Triplet Loss With Gaussian Noise for Adversarial Robustness. IEEE Access 8: 171664-171671 (2020)
2010 – 2019
- 2019
- [j1]Kwabena Owusu-Agyemang, Zhen Qin, Tianming Zhuang, Zhiguang Qin:
MSCryptoNet: Multi-Scheme Privacy-Preserving Deep Learning in Cloud Computing. IEEE Access 7: 29344-29354 (2019)
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last updated on 2024-10-23 21:29 CEST by the dblp team
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