16 citations · 24 across the 12 of their papers we have counts for
6 papers · 1 filter
BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection
Md Taimur Ahad, Bo Song, Yan Li
The noise of Magnetic Resonance Imaging MRI poses challenges for Deep Learning DL when tumor boundaries are obscured tumor location and appearance are complex Therefore we develop…
A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO
Sabit Ahamed Preanto, Md. Taimur Ahad, Yousuf Rayhan Emon +2
This research introduces an advanced method for diagnosing diseases in sweet orange leaves by utilising advanced artificial intelligence models like YOLOv8 . Due to their significa…
A Comprehensive Literature Review on Sweet Orange Leaf Diseases
Yousuf Rayhan Emon, Md Golam Rabbani, Md. Taimur Ahad +1
Sweet orange leaf diseases are significant to agricultural productivity. Leaf diseases impact fruit quality in the citrus industry. The apparition of machine learning makes the dev…
Machine Learning-Based Jamun Leaf Disease Detection: A Comprehensive Review
Auvick Chandra Bhowmik, Md. Taimur Ahad, Yousuf Rayhan Emon
Jamun leaf diseases pose a significant threat to agricultural productivity, negatively impacting both yield and quality in the jamun industry. The advent of machine learning has op…
Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review
Faruk Ahmed, Md. Taimur Ahad, Yousuf Rayhan Emon
Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching implications for yield and quality in the tea industry. The rise of machine learning has ena…
A comprehensive review on Plant Leaf Disease detection using Deep learning
Sumaya Mustofa, Md Mehedi Hasan Munna, Yousuf Rayhan Emon +2
Leaf disease is a common fatal disease for plants. Early diagnosis and detection is necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting lea…