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Mango crop maturity estimation using meta‐learning approach
Mangos are a significant fruit crop that is widely cultivated in tropical and subtropical
regions. However, manual detection of mango crop maturity is time‐consuming and labor …
regions. However, manual detection of mango crop maturity is time‐consuming and labor …
Enhancing Breast Cancer Classification: A Few-Shot Meta-Learning Framework with DenseNet-121 for Improved Diagnosis
Breast cancer is a significant health concern globally, requiring early and accurate detection
to improve patient outcomes. However, manual detection of breast cancer from medical …
to improve patient outcomes. However, manual detection of breast cancer from medical …
Neural Architecture Search for biomedical image classification: A comparative study across data modalities
Deep neural networks have significantly advanced medical image classification across
various modalities and tasks. However, manually designing these networks is often time …
various modalities and tasks. However, manually designing these networks is often time …