Dilated Capsule Network for Brain Tumor Type Classification Via MRI Segmented Tumor Region. - Kwabena Adu; Yongbin Yu 001; Jingye Cai; Tashi Nyima (ROBIO, 2019)

RMAF: Relu-Memristor-Like Activation Function for Deep Learning. - Yongbin Yu 001; Kwabena Adu; Tashi Nyima; Patrick Anokye; Xiangxiang Wang; Mighty Abra Ayidzoe (IEEE Access, 2020)

DHS-CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images. - Kwabena Adu; Yongbin Yu 001; Jingye Cai; Kwabena Owusu-Agyemang; Baidenger Agyekum Twumasi; Xiangxiang Wang (Int. J. Imaging Syst. Technol., 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 001; Jingye Cai; Patrick Kwabena Mensah; Kwabena Owusu-Agyemang (J. Intell. Fuzzy Syst., 2021)

S-CCCapsule: Pneumonia detection in chest X-ray images using skip-connected convolutions and capsule neural network. - Kwabena Adu; Yongbin Yu 001; Jingye Cai; Victor Dela Tattrah; James Adu Ansere; Tashi Nyima (J. Intell. Fuzzy Syst., 2021)

Feature amplification capsule network for complex images. - Mighty Abra Ayidzoe; Yongbin Yu 001; Patrick Kwabena Mensah; Jingye Cai; Kwabena Adu; Tashi Nyima (J. Intell. Fuzzy Syst., 2021)

Gabor capsule network with preprocessing blocks for the recognition of complex images. - Mighty Abra Ayidzoe; Yongbin Yu 001; Patrick Kwabena Mensah; Jingye Cai; Kwabena Adu; Yifan Tang (Mach. Vis. Appl., 2021)

The influence of the activation function in a capsule network for brain tumor type classification. - Kwabena Adu; Yongbin Yu 001; Jingye Cai; Isaac Asare; Jennifer Quahin (Int. J. Imaging Syst. Technol., 2022)

Multiple Mismatched Synchronization for Coupled Memristive Neural Networks With Topology-Based Probability Impulsive Mechanism on Time Scales. - Xiangxiang Wang; Yongbin Yu 001; Jingye Cai; Nijing Yang; Kaibo Shi; Shouming Zhong; Kwabena Adu; Tashi Nyima (IEEE Trans. Cybern., 2023)

HCL-Classifier: CNN and LSTM based hybrid malware classifier for Internet of Things (IoT). - Muhammed Amin Abdullah; Yongbin Yu 001; Kwabena Adu; Yakubu Imrana; Xiangxiang Wang; Jingye Cai (Future Gener. Comput. Syst., 2023)

Relaxed Exponential Stabilization for Coupled Memristive Neural Networks With Connection Fault and Multiple Delays via Optimized Elastic Event-Triggered Mechanism. - Xiangxiang Wang; Yongbin Yu 001; Jingye Cai; Shouming Zhong; Nijing Yang; Kaibo Shi; Kwabena Adu; Tashi Nyima (IEEE Trans. Neural Networks Learn. Syst., 2023)

Neural image caption generator based on crossbar array design of memristor module. - Yongbin Yu 001; Daijin Yang; Qian Tang; Xiangxiang Wang; Nijing Yang; Man Cheng; Yuanjingyang Zhong; Kwabena Adu; Favour Ekong (Neurocomputing, 2023)

Robust and resourceful automobile insurance fraud detection with multi-stacked LSTM network and adaptive synthetic oversampling. - Isaac Kofi Nti; Kwabena Adu; Peter Nimbe; Owusu Nyarko-Boateng; Adebayo Felix Adekoya; Peter Appiahene (Int. J. Appl. Decis. Sci., 2024)

SqueezeCapsNet: enhancing capsule networks with squeezenet for holistic medical and complex images. - Kwabena Adu; Joojo Walker; Patrick Kwabena Mensah; Mighty Abra Ayidzoe; Michael Opoku; Samuel Boateng (Multim. Tools Appl., 2024)