Browsing DEPARTMENT OF SOFTWARE ENGINEERING by Subject "Deep Learning Models"

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Building Trust with Explainable AI in Lung Disease Detection Using Deep Learning

Sultana, Jarin (Daffodil International University, 2025-09-18)

The primary aim of this research is to design an XAI system for lung disease diagnosis that achieves the highest degree of accuracy possible in a more user-friendly manner than current systems. The EfficientB5 Network model ...
A Hybrid Ensemble Approach for Skin Cancer Classification Using Deep Learning Techniques

Rifat, Sheikh (Daffodil International University, 2025-12-27)

Detection of skin lesions is an important task in dermatology, as early diagnosis is fundamental to prevent the appearance and treatment of skin cancer. This thesis describes HySkinDetect, a hybrid ensemble model to enhance ...
Multiple Fruits Plant Leaf Classification Using Deep Learning Models

Biswas, Tushar (Daffodil International University, 2024-01-23)

Leaf diseases present substantial challenges to global agricultural productivity, causing significant economic losses for farmers. Addressing these issues necessitates effective measures for disease identification. This ...

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