Faculty of Science and Information Technology: Recent submissions

  • Jony, Juwel Rana (Daffodil International University, 2024-01-24)
    The harvesting time of fruits significantly affects their quality, flavor, and market value. Traditionally, this process relies on subjective human evaluation, which is both timeconsuming and subjective. However, a solution ...
  • Uddin, Md. Kofil (Daffodil International University, 2024-01-01)
    This report presents an empirical examination aimed at uncovering the intricate landscape of programming language trends and their implications for software development. By utilizing statistical methods, this study ...
  • Sarker, Sudipto (Daffodil International University, 2024-01-25)
    This study explores the application of deep learning to automate the identification of research fields within scientific paper abstracts. The goal is to create a resilient model that effectively categorizes the primary ...
  • Das, Avishek (Daffodil International University, 2024-01-21)
    This literature review provides a thorough examination of important works in the field of medical image analysis, with a special emphasis on the use of machine learning and deep learning algorithms for identifying lung ...
  • Omar, Jubail Hossain (Daffodil International University, 2024-01-25)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including cervical cancer disease, drawing considerable attention due to its impact on a large population. The severity of the ...
  • Hasan, Abir (Daffodil International University, 2024-01-24)
    The online web based book lover community is an user-friendly and innovative platform that transform book lovers to demonstrate their opinion on a particular book, interact with the author and browse the particular book ...
  • Mohammad Mostafizur Rahman, Tuhin (Daffodil International University, 2024-01-25)
    A platform called Rent Go property Renting automates the entire process of renting a property. This project aims to lessen the burden of property owners and the pain of tenants in the process of finding rental properties. ...
  • Munia, Sahela Khan (Daffodil International University, 2024-01-24)
    Accurate forecasting of guava harvest is essential for efficient resource allocation, market planning, and mitigating post-harvest losses. In Bangladesh, the guava industry faces challenges in predicting harvest yields ...
  • Sarker, Parash (Daffodil International University, 2024-01-24)
    A Hall Like Daffodil International University, they will have a hall management system to manage the hall and it is not possible for a hall owner to collect the entire hall fee. Also it is a challenging job. Daffodil ...
  • Rahman, Mizanur (Daffodil International University, 2024-01-24)
    An established paradigm in the field of imaging in medical is fracture detection. These days, computer-aided diagnostic-(CAD) systems are widely used because they help physicians and other medical experts diagnose various ...
  • Al Mamun, Shamim (Daffodil International University, 2024-01-26)
    The tenth most common cause of death for both men and women is cancer of thebrain and associated nervous system tumors. According to estimates, primarymalignant brain and central nervous system tumors will be the cause of ...
  • Prodhan, Md. Samiul Karim (Daffodil International University, 2024-01-25)
    Bari Vara is an online rental and reservation platform for apartments. Improving human labor, making it more precise, and cutting down on the amount of time needed to rent and reserve real estate are the main goals. It ...
  • Faisal, M Rafiul (Daffodil International University, 2024-01-25)
    In response to escalating privacy concerns within the parcel delivery landscape, Zipifly emerges as a groundbreaking solution—an incognito parcel delivery app that strives to redefine industry norms. The project places ...
  • Hossain, Md. Oadud (2024-01-26)
    The Hotel Booking Web Application is a cutting-edge and user-friendly platform made to change the hotel booking process and improve the user experience. Users may easily search through a wide selection of hotels using ...
  • Ridoy, Md. Sydul Islam Bhuiyan (Daffodil International University, 2024-01-25)
    In this paper, we present F-AgeNet, a novel and highly efficient convolutional neural network (CNN) model tailored for the task of age and face detection. Leveraging a combined dataset comprising 22,708 images from a ...
  • Shahariar, Shihab (Daffodil International University, 2024-01-25)
    A vast quantity of data and information are available on the internet. Because the internet is so widely available and has resulted in a tremendous growth in the number of online news, people are interested in reading ...
  • Labiba, Afsara (Daffodil International University, 2024-01-25)
    One of the most popular crops in Bangladesh is the bottle gourd. However, the quality and productivity of the bottle gourd crop decrease due to a variety of diseases. Therefore, a deep learning-based approach to identify ...
  • Omy, Jannatul Faria (Daffodil International University, 2024-01-21)
    This study aims to develop an efficient and accurate system for the early detection of brain tumors using machine learning algorithms applied to magnetic resonance imaging (MRI) medical images. Brain tumor occurs because ...
  • Siam, Galib Md. Bin Hasan; Akila, Rifa (Daffodil International University, 2024-01-21)
    Flooding occurs when a water body engulfs the mainland, disrupting the regular lives of the inhabitants. Bangladesh faces a persistent risk of flooding due to its geographical location and the impacts of climate change. ...
  • Numan, Khaza (Daffodil International University, 2024-01-21)
    I had to work as an intern throughout my last year of computer science and engineering in order to fulfill the requirements for my B.Sc. This report includes a summary of my work experience from my internship. I mostly ...

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