3 papers
cs.CV2026
A Resource-Efficient Hybrid CNN-LSTM network for image-based bean leaf disease classification
Hye Jin Rhee, Joseph Damilola Akinyemi
Accurate and resource-efficient automated diagnosis is a cornerstone of modern agricultural expert systems. While Convolutional Neural Networks (CNNs) have established benchmarks i…
eess.IV2025
Lung Cancer Classification from CT Images Using ResNet
Olajumoke O. Adekunle, Joseph D. Akinyemi, Khadijat T. Ladoja +1
Lung cancer, a malignancy originating in lung tissues, is commonly diagnosed and classified using medical imaging techniques, particularly computed tomography (CT). Despite the int…
cs.CV2024
The PV-ALE Dataset: Enhancing Apple Leaf Disease Classification Through Transfer Learning with Convolutional Neural Networks
Joseph Damilola Akinyemi, Kolawole John Adebayo
As the global food security landscape continues to evolve, the need for accurate and reliable crop disease diagnosis has never been more pressing. To address global food security c…