DIU Institutional Repository: Recent submissions

  • Khan, Hafiz Ahmed (Daffodil International University, 2025-01-13)
    Cotton crop is among the leading source of income globally through its production is harmed by many diseases which attack the leaves. Identification of these diseases is a tedious, cumbersome, and prone to a lot of errors ...
  • Ahmed, Md. Mahfuz (Daffodil International University, 2025-01-12)
    In precision agriculture, machine learning models are increasingly revolutionizing disease detection and management for crops. Recent advances in computer vision, particularly Vision Transformer (VIT) architectures, have ...
  • Lata, Tanjila Hafsa (Daffodil International University, 2025-01-13)
    The Library Management System modernizes the automation of conventional library operations. This thesis focuses on the creation and development of a learning management system (LMS) platform that satisfies the needs of ...
  • Mandal, Sajeeb (2025-01-13)
    This thesis presents the development of a mobile app-based solution for rose color detection designed specifically for visually impaired individuals. The solution leverages advanced Vision Transformer (ViT) architectures, ...
  • Hasan, Md. Mehedi (Daffodil International University, 2025-01-12)
    Recent times, breast cancer has seen a concerning rise, affecting a significant proportion of women. To tackle this pressing issue, extensive research efforts have been dedicated to devising effective methodologies for ...
  • Hasan, Md. Mehedi (Daffodil International University, 2025-01-13)
    Recent times, breast cancer has seen a concerning rise, affecting a significant proportion of women. To tackle this pressing issue, extensive research efforts have been dedicated to devising effective methodologies for ...
  • Rahim, Md. Abdur (Daffodil International University, 2025-01-13)
    This project showcases a modern E-commerce platform built using the MERN stack (MongoDB, Express.js, React.js, Node.js), designed to deliver a seamless online shopping experience for users and comprehensive management ...
  • Miah, Md. Parvej (Daffodil International University, 2025-01-13)
    This project focuses on developing a web-based optical character recognition (OCR) system using Tesseract.js, a JavaScript library that allows extracting text from images in both client-side and server-side environments. ...
  • Nishat, Md Rifat Uddin; Setu, Sadia Afrin (Daffodil International University, 2025-01-12)
    This study explores a novel approach to identifying diseases in snake gourd leaves using advanced deep-learning techniques. The research focuses on five specific leaf conditions: Healthy, Powdery Mildew, Downy Mildew, ...
  • Shanto, Mushfiqur Rahman; Sakib, Muktadir Khan; Morshed, Nishat (Daffodil International University, 2025-08-30)
    As digital data continues to grow rapidly across sectors, ensuring its integrity and authenticity presents a critical challenge—particularly in centralized cloud storage systems, which are vulnerable to unauthorized access, ...
  • Hossain, Md. Sabbir (Daffodil International University, 2025-07-05)
    This paper presents the concepts of a Textile Yarn Unwinding and Winding System for application in the textile industry. Considering that textile industry market is constantly growing, this work aims to develop a system ...
  • Das, Aprantar; Mia, Md Hasan (Daffodil International University, 2025-01-12)
    Plant nutrient deficiencies can significantly impact agricultural productivity and crop quality, posing challenges for farmers in identifying and addressing these issues early. This project focuses on deep learning ...
  • Rahman, Md Obaydur; Rahman, Md. Hafizur (Daffodil International University, 2025-01-23)
    We worked with knit and woven fabrics where we collected data on their production faults and analyzed it, through which we were able to find out the percentage of those faults. From this data analysis we found Knit fabric ...
  • Datta, Joy (Daffodil International University, 2025-01-08)
    The Ready-Made Garment (RMG) sector is the cornerstone of Bangladesh's economy and a key driver of its development. In the Ready-Made Garment (RMG) sector, the sample creation process is essential to achieving customer ...
  • Sultana, Sabbira (Daffodil International University, 2025-01-13)
    Blood problems are frequently discovered by visual inspection under a microscope. It might help classify a number of blood-related disorders in order to facilitate the identification of different leukemia conditions. ...
  • Roy, Sujon (Daffodil International University, 2025-01-28)
    Natural dyes derived from onion skins have gained attention for their eco-friendly properties and potential applications in textile dyeing. This study explores the dyeing of cellulosic materials, specifically cotton and ...
  • Faysal, Md Minhajul Abedin (Daffodil International University, 2025-01-13)
    Complete details of my concept, "An Innovative Smart Parking system," may be obtained in the accompanying results. This paper goes into great detail on the processes that helped transform the plan into a working website. ...
  • Hasan, Abid; Karmakar, Ashis Kumar (Daffodil International University, 2025-01-12)
    An Innovative way to solve the very important problem in the world of early diagnosis is to use deep learning to automate the histopathologic discovery of oral cancer. The death rate goes up a lot when oral cancer is ...
  • Rahman, Mahmudur (Daffodil International University, 2025-01-13)
    Accurate weather forecasting is vital for resource planning, disaster management, and informed decision-making. This study leverages deep learning techniques, including Long Short-Term Memory (LSTM), Gated Recurrent Units ...
  • Rahik, Rafikul Ahsan; Kulsum, Umme (Daffodil International University, 2025-01-12)
    The diagnosis of numerous hematological disorders depends on the precise and effective classification of peripheral blood cells. However, in high-throughput or resource-constrained contexts, the manual evaluation of ...

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