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ORCIDAbdulrahman Hamman Adama Chukkol
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2020 – today
- 2024
[j1]Abdulganiyu Abdu Yusuf
, Chong Feng, Xianling Mao, Ramadhani Ally Duma, Mohammed Salah Abood, Abdulrahman Hamman Adama Chukkol:
Graph neural networks for visual question answering: a systematic review. Multim. Tools Appl. 83(18): 55471-55508 (2024)- [i5]Yunusa Haruna, Shiyin Qin, Abdulrahman Hamman Adama Chukkol, Abdulganiyu Abdu Yusuf, Isah Bello, Adamu Lawan:
Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey. CoRR abs/2402.02941 (2024) - [i4]Yunusa Haruna, Shiyin Qin, Abdulrahman Hamman Adama Chukkol, Isah Bello, Adamu Lawan:
mAPm: multi-scale Attention Pyramid module for Enhanced scale-variation in RLD detection. CoRR abs/2402.16291 (2024) - [i3]Yunusa Haruna, Shiyin Qin, Abdulrahman Hamman Adama Chukkol, Isah Bello, Adamu Lawan:
iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency. CoRR abs/2407.07603 (2024) - [i2]Abdulrahman Hamman Adama Chukkol, Senlin Luo, Kashif Sharif, Yunusa Haruna, Muhammad Muhammad Abdullahi:
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction. CoRR abs/2408.07181 (2024) - [i1]Yunusa Haruna, Shiyin Qin, Adamu Lawan, Abdulrahman Hamman Adama Chukkol:
KonvLiNA: Integrating Kolmogorov-Arnold Network with Linear Nyström Attention for feature fusion in Crop Field Detection. CoRR abs/2408.13160 (2024) - 2023
- [c2]Abdulrahman Hamman Adama Chukkol, Senlin Luo, Yunusa Haruna, Abdulganiyu Abdu Yusuf, Abulfatahi Mohammed:
VulPin: Finer-Grained Slicing for Pinpointing Vulnerability in Binary Programs. CSAI 2023: 116-122 - [c1]Yunusa Haruna, Shiyin Qin, Peshraw Salam Abdulqadir, Mesmin J. Mbyamm Kiki, Abdulrahman Hamman Adama Chukkol:
An approach to detecting extremely small or large objects based on an improved scale variation in YOLOv3. ICMLT 2023: 190-194
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