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A Novel Transformer Model With Multiple Instance Learning for Diabetic Retinopathy Classification

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₹5,500.00
Aim: To design and implement an advanced diagnostic system for retinal disease classification, combining state-of-the-art feature extraction and classification models for superior accuracy.
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Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP

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₹5,500.00
Aim: To develop an enhanced LULC classification system using ResNet50v2 for better accuracy and LIME for explainability, while minimizing computational resource requirements.
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