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Browsing Project Report by Subject "Computer vision"

Browsing Project Report by Subject "Computer vision"

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  • An Approach To Detect Melanoma Skin Cancer Using Fastai CNN Models 
    Mia, MD Shazzad; Mim, Sumaiya Mustari (Daffodil International University, 23-01-18)
    Skin cancer, which can be lethal, is essentially the improper proliferation of skin tissues. It has recently developed into one of the most dangerous sorts of additional malignancies in humans. Early detection may help ...
  • A Computer Vision and deep CNN Modeling for Spices Recognition 
    Talukder, Md. Maruf Hasan; Ria, Tania Aktar (Daffodil International University, 23-01-29)
    In the countries of South Asia, there is a significant appetite for the consumption of spices. Each type of spice offers a distinctive flavor, aroma, and quality. People are unable to identify spices and do not make effective ...
  • A Deep Learning Approach to Recognize Bangladeshi Shrimp Species 
    Nishi, Jubiria Subrin; Hossain, Md. Rajib (Daffodil International University, 23-01-29)
    The nutritional value of shrimp, the most consumed shellfish in Bangladesh, is high because of its abundance of various nutrients. Protein, minerals, vitamin D, and iodine are all examples of such things. The name of this ...
  • Deep Learning Approaches to Predict Future Frames in Videos 
    Al Mukul, Abdullah; Tonmoy, Mahtab Mashuq (Daffodil International University, 23-02-18)
    Across several fields of computer vision, deep learning methods are gaining importance. While there have been several research on the categorization of pictures and movies, prediction of the coming frames of an input ...
  • Developing a More Frequent and Faster Method for Segmentation of Urban Roads From Satellite Images 
    Hasan, Md. Rakibul; Salehin, Miraziz (Daffodil International University, 22-09-13)
    In the recent era of computer vision research and development, the researchers still struggle in the case of an upkeep in contribution to this genre. Image segmentation is the technique of dividing a picture into useful ...
  • Image Analysis for Classifying Forest Fire Using Deep Learning 
    Saba, Sabrina; Hossain, Sazzad (Daffodil International University, 23-02-12)
    80% of all living things on earth depend on forests as part of their ecosystem for food and shelter. For most of their existence, Homo humans lived in forests. Forests are at risk from forest fires. Because woods exist, ...
  • Jackfruit Disease Recognition Using Computer Vision 
    Mia, Md. Robel; Janik, Mominul Islam (Daffodil International University, 2019-05)
    Agriculture is the mother of all cultures. It has played an important role in the development of human civilization. Bangladesh economy depends on agriculture and a large number of people directly or indirectly related to ...
  • Local Vegetable Detection: A Computer Vision Approach 
    Deb, Rahul; Mojumder, Atanu; Puja, Priyanka Saha; Debnath, Sarnali (Daffodil International University, 2019-05)
    In this thesis work it describes about a unique system that can detect local vegetable using computer vision approach. To enhance the identification process and promote the usability of the graphical user interface ...
  • Real time Object detection in Bangla Sign Language Using Adversarial Deep learning 
    Al Rafika, Fatema Alim; Saha, Sharthok; Hossain, Md. Amran (Daffodil International University, 23-02-12)
    Instead of spoken words, sign languages use the visual-manual modality to communicate meaning. Manual articulation and non-manual markers are used to convey meaning in sign languages. It is used by dumb or silent, blind ...
  • A Robust Shallow CNN Architecture for Performing Ablation Studies on Skin Cancer Images 
    Hasan, MD. Tanvir; Alam, MD. Soriful (Daffodil International University, 23-02-18)
    Skin disease is an increasingly common form of disease that affects millions of people worldwide every year. It is caused by the uncontrolled growth of abnormal skin cells. Skin disease detection is an important area of ...
  • Violence Activity Recognition Using Computer Vision 
    Podder, Shuvo (Daffodil International University, 2021-06)
    I proposed an intelligent system algorithm to address real-time violence activity using computer vision. Sometimes in our absent different violence activity occurs in our daily life. As a part of a smart surveillance ...

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