Faculty of Science and Information Technology: Recent submissions

  • Lotif, Abul Kalam (Daffodil International University, 2024-07-24)
    As a useful and diverse part of ecosystems, mushrooms are important in many areas, such as the gastronomic, medicinal, and environmental. To classify 6000 photos of mushrooms from various species, this study uses deep ...
  • Saha, Dipa Rani (Daffodil International University, 2024-07-24)
    Dengue virus is created in the medium of Aedes mosquito. Because the virus is more prevalent in tropical areas and people are more affected, people in these areas should be aware of it as a health concern and have effective ...
  • Hasan, Md. Kamrul (Daffodil International University, 2024-07-13)
    An effective and user-friendly platform called "A SMART VAT CALCULATION SOFTWARE FOR A SUPER SHOP" was created to simplify Super Shop administration. The software reduces manual errors and increases operational efficiency ...
  • Tori: 
    Tayeb, Abu (Daffodil International University, 2024-07-13)
    Tori is a user-friendly boat ticket management system designed for easy navigation and a smooth experience. Tori allows users to quickly browse, select and purchase boat tickets through a simple and intuitive interface. ...
  • Akter, Adity (Daffodil International University, 2024-07-24)
    The sister company of Amber Group is Amber IT Software Team. Web development, app development, graphic design, printing, digital marketing, hardware and software solutions are all provided by Amber IT Software Team, an ...
  • Hossen, Md. Tamim (Daffodil International University, 2024-07-15)
    This study explores the complex interrelationships between gaming and everyday life, looking at how these interactions social dynamics, and cognitive capacities. The lines separating reality from virtual experiences have ...
  • Ali, Md. Beplob (Daffodil International University, 2024-07-15)
    The paper presents the development of a personalized recommendation system for Beplob Mart, an e-commerce website. The system leverages Matrix Factorization (MF), a collaborative filtering technique, to recommend products ...
  • Shamonti, Shanjana Tanjim; Roy, Anamika (Daffodil International University, 2024-07-15)
    This study refers to an advanced convolutional neural network (CNN) approach for detecting skin diseases, with a focus on distinguishing between cancerous and noncancerous conditions. Using Kaggle's 'Melanoma Skin Cancer ...
  • Khan, Md. Mursalin; Nihal, Nabir Hossain (Daffodil International University, 2024-07-13)
    Portfolio Builder is a new generation web-application which is aimed at providing effective tools for professional portfolio construction and job search as well as job application. To aid the users in this selection, ...
  • Hossain, Md. Asif; Masba Ur Rahaman, Md. (Daffodil International University, 2024-07-13)
    This paper introduces an Automatic License Plate Detection (ALPD) system, incorporating You Only Look Once version 8 (YOLO v8) for real-time object detection and OpenCV for efficient image processing. With a focus on ...
  • Saha, Rudro (Daffodil International University, 2024-07-15)
    This study addresses the use of blockchain technology to enhance the pharmaceutical supply chain in Bangladesh, handling significant challenges including product quality and fake medicines. The analysis of the literature ...
  • Limon, Md. Mehedi Hasan (Daffodil International University, 2024-07-13)
    The e-commerce platform www. mj-kachabazar.com Doing other necessary products and as re-connecting the district of Manikganj with the basic and easy means of shopping with the platform of https://www.mjkachabazar.com ...
  • Onti, Nausin Shadia; Mim, Tabassum Islam (Daffodil International University, 2024-07-13)
    The accurate and efficient segmentation of plant diseases is the key to sustaining plant growth quality and identifying disease severity. Unfortunately, many current plant disease segmentation techniques frequently fall ...
  • Mim, Tabassum Islam; Onti, Nausin Shadia (Daffodil International University, 2024-07-13)
    The accurate and efficient segmentation of plant diseases is the key to sustaining plant growth quality and identifying disease severity. Unfortunately, many current plant disease segmentation techniques frequently fall ...
  • Baral, Saurav; Saha, Shithi Rani (Daffodil International University, 2024-07-13)
    This thesis explores the identification of medicinal plants in Bangladesh through images of plant leaves using deep transfer learning. The primary aim of the study was to find the best and less time-consuming procedure, ...
  • Alam, Mahbub; Rahman, Shazedur (Daffodil International University, 2024-07-14)
    Diseases have remained as one of the major issues affecting dragon fruit production due to its susceptibility to infections. The framework of this research work is the use of a deep learning technique for an assessment ...
  • Ali, Mohammad Yusuf; Ryan, Md Abu (Daffodil International University, 2024-07-14)
    The early detection of Alzheimer’s disease (AD) is crucial for effective interventionand management. This study explores the application of deep learning techniques toclassify MRI images into three categories: mild demented, ...
  • Emon, Mir Md. Asif Jahan; Tisha, Esrat Jahan (Daffodil International University, 2024-07-14)
    This study, titled "AI-Driven Bone Fracture Detection: Leveraging Image Processing and Machine Learning on X-ray Images," embarks on enhancing the accuracy and efficiency of diagnosing bone fractures using advanced AI ...
  • Chinmoy, Debabrata Roy (Daffodil International University, 2024-07-14)
    The library management system project represents a technological innovation aimed at optimizing the management of educational resources within academic institutions. Developed using the MERN stack, the system offers a ...
  • Karim, Anowar; Faruk, Md. Omor (Daffodil International University, 2024-07-13)
    Drone growth in recent years has brought up a number of opportunities as well as challenges in a number of sectors, including aviation safety, security, and animal protection. Accurately identifying and classifying drones ...

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