Kwabena Owusu-Agyemang

According to our database, Kwabena Owusu-Agyemang authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing AMI network security with STI model: A mathematical perspective.

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

Internet Things, 2024

2023

Botnet attacks classification in AMI networks with recursive feature elimination (RFE) and machine learning algorithms.

Oliver Kornyo, Michael Asante, Richard Opoku, Kwabena Owusu-Agyemang, Benjamin Tei Partey, Emmanuel Kwesi Baah, Nkrumah Boadu

Comput. Secur., December, 2023

MSDP: multi-scheme privacy-preserving deep learning via differential privacy.

Kwabena Owusu-Agyemang, Zhen Qin, Hu Xiong, Yao Liu, Tianming Zhuang, Zhiguang Qin

Pers. Ubiquitous Comput., April, 2023

2022

Cofopose: Conditional 2D Pose Estimation with Transformers.

Evans Aidoo, Xun Wang, Zhenguang Liu, Edwin Kwadwo Tenagyei, Kwabena Owusu-Agyemang, Seth Larweh Kodjiku, Victor Ejianya, Esther Stacy E. B. Aggrey

Sensors, 2022

2021

MLAF-CapsNet: Multi-lane atrous feature fusion capsule network with contrast limited adaptive histogram equalization for brain tumor classification from MRI images.

Kwabena Adu, Yongbin Yu, Jingye Cai, Patrick Kwabena Mensah, Kwabena Owusu-Agyemang

J. Intell. Fuzzy Syst., 2021

Privacy preservation in Distributed Deep Learning: A survey on Distributed Deep Learning, privacy preservation techniques used and interesting research directions.

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Qihe Liu, Yuyu Wang, Kwabena Owusu-Agyemang

J. Inf. Secur. Appl., 2021

DHS-CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images.

Kwabena Adu, Yongbin Yu, Jingye Cai, Kwabena Owusu-Agyemang, Baidenger Agyekum Twumasi, Xiangxiang Wang

Int. J. Imaging Syst. Technol., 2021

2020

Multi-Class Triplet Loss With Gaussian Noise for Adversarial Robustness.

Benjamin Appiah, Edward Yellakuor Baagyere, Kwabena Owusu-Agyemang, Zhiguang Qin, Muhammed Amin Abdullah

IEEE Access, 2020

2019

MSCryptoNet: Multi-Scheme Privacy-Preserving Deep Learning in Cloud Computing.

Kwabena Owusu-Agyemang, Zhen Qin, Tianming Zhuang, Zhiguang Qin

IEEE Access, 2019