Faculty of Science and Information Technology: Recent submissions

  • Atikuzzaman, Md. (Daffodil International University, 2024-01-25)
    Finding tumor areas on breast ultrasonography pictures has long been a fascinating subject. The complex architecture of breast and the presence of noise in ultrasound images sometimes make it impossible for traditional ...
  • Zilani, Rashedul Alam (Daffodil International University, 2024-01-25)
    Effective information retrieval and organization have become increasingly important, especially in contexts involving diverse cultural backgrounds, as the continued growth of digital content has demonstrated. The subject ...
  • Remel, Mahinoor Islam (Daffodil International University, 2024-01-24)
    This study presents an in-depth study of the development of Skin Disease Classification using Deep Learning. The dataset was carefully selected to ensure that it was representative of the skin Disease of various kinds: ...
  • Labib, Raunak Muhtasim (Daffodil International University, 2024-01-25)
    In the agricultural landscape of Bangladesh, where farming plays a crucial role in the country's economy, the well-being of plants is vital for ensuring food security. The process of photosynthesis, occurring in the ...
  • Sohag, Sohanur Rahman (Daffodil International University, 2024-01-26)
    This study provides an advanced deep learning method for predicting liver cirrhosis using a Kaggle dataset of 615 entries with a target attribute "Liver Cirrhosis Status" that classifies answers as 'Yes' (75 cases) or ...
  • Yeakub, Md (Daffodil International University, 2024-01-25)
    In this modern world any type of detection is an important task. The reason is that in this 20th century anything can be easily found through detection. Among the several types of identification, trash detection is one ...
  • Asraful, Md. (Daffodil International University, 2024-01-25)
    Blockchain technology, distinguished by its decentralized and irreversible design, has gained rapid adoption across sectors, offering heightened security and transparency. Despite its promises, the rising usage of ...
  • Dibosh, Arnob Ghosh (Daffodil International University, 2024-01-25)
    Classification of medical images is essential to the diagnosis of many diseases. This paper presents a thorough analysis of multimodal deep learning fusion methods for problems involving the classification of medical ...
  • Siam, A. K. M Fazlul Kobir (Daffodil International University, 2024-01-25)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including dengue disease, drawing considerable attention due to its impact on a large population. The severity of the illness can ...
  • Hasan, Md. Nahid; Fahem, Faysal Hossain (Daffodil International University, 2024-01-25)
    Sports camp based web application could be a comprehensive and user-friendly online platform outlined to streamline and upgrade the method of planning and overseeing sport arrangements. The framework points to progress ...
  • Himel, Fahim Hasan (Daffodil International University, 2024-01-25)
    Aim of this project is to implement Bloom’s Taxonomy model on academic evaluation system. Academic evaluation measures the performance of students. It is actually the outcome of a student’s learning. It’s a traditional ...
  • Rahaman, Israth (Daffodil International University, 2024-01-25)
    This web-based project “Virtual visiting card” describes about the creation of an inventive way to transform the conventional exchange of contact or personal details into a virtual visiting card. In order to promote ...
  • Hadi, Saif Abdullah (Daffodil International University, 2024-01-25)
    In today's Bangladesh, everyone likes to Take Higher education in Various Subjects. We start workingwith those who have completed their HSC Exam and are Building careers. As we have seen, a university admission candidate ...
  • Hasan, Nazmul (Daffodil International University, 2024-01-25)
    This research presents a comprehensive exploration of depression identification methodologies, employing a diverse array of classification algorithms, including Logistic Regression, Random Forest, Gradient Boosting, ...
  • Miah, Md. Hasan (Daffodil International University, 2024-01-25)
    Precisely anticipating a player's position is critical to the success of team tactics and talent scouting in football, as every position requires a unique set of talents. This thesis uses an extensive dataset of 100,995 ...
  • Paramanya, Sourave (Daffodil International University, 2024-01-24)
    Traffic rule violations are a significant issue in cities, causing bottlenecks and accidents due to slow-moving vehicles, rickshaws, and illegal vehicles. These infractions impede traffic flow and increase the risk of ...
  • Sakib Shahariar Shimanto (Daffodil International University, 2024-01-22)
    This study addresses the use of deep learning techniques, including Inception, ResNet, Xception, AlexNet, and MobileNet, for the identification of brain hemorrhages in medical imaging. Motivated by the crucial need for ...
  • Trisha, Sumaiya Pias (Daffodil International University, 2024-01-24)
    Old Bike-Selling Website” is a dedicated online platform designed for enthusiasts, collectors, and riders passionate about classic motorbikes. Our web application provides a user-friendly and secure marketplace for buying ...
  • Islam, Md Saykot (Daffodil International University, 2024-01-22)
    Early and accurate cancer detection is crucial for improving patient outcomes from this lethal disease, but traditional methods often lack sensitivity or specificity. Machine learning algorithms, particularly Random ...
  • Tanmoy, F. M. (Daffodil International University, 2024-01-22)
    This study focuses on the crucial task of forecasting population growth, a fundamental aspect of planning for a nation's future development. Utilizing advanced machine learning techniques, we aim to predict future ...

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