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Browsing by Subject "VGG19"

Browsing by Subject "VGG19"

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  • Classification of Breast Cancer Cell Images using Multiple Convolution Neural Network Architectures 
    Tasnim, Zarrin; Shamrat, F. M. Javed Mehedi; Islam, Md Saidul; Rahman, Md.Tareq; Aronya, Biraj Saha; Muna, Jannatun Naeem; Billah, Md. Masum (Scopus, 2021)
    Abstract: Breast cancer is a malignant tumor that affects women. It is the most prevalent cancer in women, affecting about 10% of all women at any point in their lives. The development of breast cancer begins in the lobules ...
  • Flower Identification by Deep Learning Approach and Computer Vision 
    Mohaimenur Rahman, Md.; Mojumdar, Mayen Uddin; Jamil, Md Mashud; Chakraborty, Narayan Ranjan; Hasan, Rifat; Gupta, Vedika (2024-04-18)
    This study employed deep learning methods like VGG19, Xception, CNN, DenseNet201, and InceptionV3 to identify flowers. After applying these models, a confusion matrix was applied to evaluate the performances of the techniques. ...
  • Local bird species classification using advanced deep learning architecture 
    Sourov, Md. Abugalib (Daffodil International University, 2024-01-01)
    The goal of this research is to create a reliable system for classifying local bird species using modern deep learning architectures. The dataset forms the basis for this study and consists of 1,179 photos covering seven ...
  • Local bird species classification using advanced deep learning architecture 
    Sourov, Md. Abugalib (Daffodil International University, 2024-01-24)
    The goal of this research is to create a reliable system for classifying local bird species using modern deep learning architectures. The dataset forms the basis for this study and consists of 1,179 photos covering seven ...
  • Lychee Leaves Disease Detection 
    Khan, Md Abadot Hossain (Daffodil International University, 2025-09-20)
    The leaf maybe named most important part of a plant. If the leaf gets concerned by few disease it impacts the whole plant. To catch a excellent product, the quality of the leaf must be guaranteed. To ensure the quality ...
  • XAI-FusionNet: Diabetic foot ulcer detection based on multi-scale feature fusion with explainable artificial intelligence 
    Biswas, Shuvo; Mostafiz, Rafid; Uddin, Mohammad Shorif; Paul, Bikash Kumar (Daffodil International University, 2024-05-30)
    Diabetic foot ulcer (DFU) poses a significant threat to individuals affected by diabetes, often leading to limb amputation. Early detection of DFU can greatly improve the chances of survival for diabetic patients. This ...

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