VulPin: Finer-Grained Slicing for Pinpointing Vulnerability in Binary Programs. - Abdulrahman Hamman Adama Chukkol; Senlin Luo; Yunusa Haruna; Abdulganiyu Abdu Yusuf; Abulfatahi Mohammed (CSAI, 2023)

An approach to detecting extremely small or large objects based on an improved scale variation in YOLOv3. - Yunusa Haruna; Shiyin Qin; Peshraw Salam Abdulqadir; Mesmin J. Mbyamm Kiki; Abdulrahman Hamman Adama Chukkol (ICMLT, 2023)

Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey. - Yunusa Haruna; Shiyin Qin; Abdulrahman Hamman Adama Chukkol; Abdulganiyu Abdu Yusuf; Isah Bello; Adamu Lawan (CoRR, 2024)

mAPm: multi-scale Attention Pyramid module for Enhanced scale-variation in RLD detection. - Yunusa Haruna; Shiyin Qin; Abdulrahman Hamman Adama Chukkol; Isah Bello; Adamu Lawan (CoRR, 2024)

iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency. - Yunusa Haruna; Shiyin Qin; Abdulrahman Hamman Adama Chukkol; Isah Bello; Adamu Lawan (CoRR, 2024)

VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction. - Abdulrahman Hamman Adama Chukkol; Senlin Luo; Kashif Sharif; Yunusa Haruna; Muhammad Muhammad Abdullahi (CoRR, 2024)

KonvLiNA: Integrating Kolmogorov-Arnold Network with Linear Nyström Attention for feature fusion in Crop Field Detection. - Yunusa Haruna; Shiyin Qin; Adamu Lawan; Abdulrahman Hamman Adama Chukkol (CoRR, 2024)

Graph neural networks for visual question answering: a systematic review. - Abdulganiyu Abdu Yusuf; Chong Feng 001; Xianling Mao; Ramadhani Ally Duma; Mohammed Salah Abood; Abdulrahman Hamman Adama Chukkol (Multim. Tools Appl., 2024)

Exploring the synergies of hybrid convolutional neural network and Vision Transformer architectures for computer vision: A survey. - Yunusa Haruna; Shiyin Qin; Abdulrahman Hamman Adama Chukkol; Abdulganiyu Abdu Yusuf; Isah Bello; Adamu Lawan (Eng. Appl. Artif. Intell., 2025)