most citedPerformance Comparison of Deep Learning Techniques in Naira Classification

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2026

NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction

Abdulrazaq A. Zubair, Nafiu Musa Muhammad, Simeon Krah +7

Respiratory motion degrades abdominal T2 HASTE MRI in low- and middle-income countries where vendor motion-correction licenses are unavailable and failed scans are deleted during r…

cs.CV2026

A Comparative Evaluation of Deep Learning Object Detection Models on a Real-World Multi-Plant Dataset from Africa

Ismail Ismail Tijjani, Sunusi Muhammad Ibrahim, Amina Ibrahim Khaleel +5

The application of computer vision in agriculture has shown significant potential for improving crop monitoring and precision farming. However, many existing approaches rely on con…

cs.CV2026

Evaluating Vision-Language Models as a Zero-Shot Learning Alternative to You Only Look Once and Optical Character Recognition for Nigerian License Plate Recognition

Ismail Ismail Tijjani, Ahmad Abubakar Mustapaha, Sunusi Ibrahim Muhammad +1

License Plate Recognition (LPR) systems are critical tools in traffic monitoring, security enforcement, and urban mobility management. Traditional LPR systems often rely on a multi…

cs.CV2026

Sesame Plant Segmentation Dataset: A YOLO Formatted Annotated Dataset

Sunusi Ibrahim Muhammad, Ismail Ismail Tijjani, Saadatu Yusuf Jumare +1

This paper presents the Sesame Plant Segmentation Dataset, an open source annotated image dataset designed to support the development of artificial intelligence models for agricult…

cs.CV2024★ 2 cited

Performance Comparison of Deep Learning Techniques in Naira Classification

Ismail Ismail Tijjani, Ahmad Abubakar Mustapha, Isma'il Tijjani Idris

The Naira is Nigeria's official currency in daily transactions. This study presents the deployment and evaluation of Deep Learning (DL) models to classify Currency Notes (Naira) by…