DIU Institutional Repository: Recent submissions

  • Alzheimer Disease Detection from MRI Images using Deep Learning Techniques 
    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, ...
  • AI-Driven Bone Fracture Detection: Leveraging Image Processing and Machine Learning on X-ray Images 
    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 ...
  • A Web Based Library Management System 
    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 ...
  • SqueezeNet Based Classification for Drone vs Bird for Enhanced Recognition 
    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 ...
  • The impact of digital technology addiction on mental health and well-being 
    Raihan, Md. Mahmudul Hasan (Daffodil International University, 2024-07-15)
    Addiction to digital technology has become a major issue in modern culture, affecting mental health and wellbeing in a variety of intricate ways. On the one hand, excessive screen time and technology use can cause a ...
  • Improving Bengali text analysis through convolutional neural networks 
    Sakib, Md. Sadman (Daffodil International University, 2024-07-13)
    Speech categorization is essential for applications like speech recognition and emotionanalysis. Despite the proven effectiveness of Convolutional Neural Networks (CNNs) inspeech categorization, limited research has focused ...
  • An advanced deep learning approach for detecting dragon fruit disease 
    Kushol, Md. Ariful Islam; Remu, Tanjila Akter (Daffodil International University, 2024-07-13)
    This area of cultivation is however faced with daunting challenges as the plants are prone to diseases that affect its health and production. To this end, we put forward an improved deep learning model for diagnosing ...
  • E-Commerce in the next era of developing Bangladesh. Consumer's Perception and Challenges 
    Sakib, Kamrul Islam (Daffodil International University, 2024-07-15)
    There is a great potential for the growth of e-commerce in Bangladesh due to the growth in internet connectivity and usage. Knowledge and solving the issues related to consumer concern are necessary to maximize the benefit ...
  • Agriman: agricultural management system application 
    Sunve, Sabid Ahmed; Mallick, Partha Pratim (Daffodil International University, 2024-07-13)
    The advent of technology has revolutionized various industries, and agriculture is no exception. In the realm of agricultural innovation, our Android application, named 'AgriMan,' stands as a pioneering Agricultural ...
  • Implementing an efficient image processing technique with deep neural networks for the classification of medicinal herbs 
    Hasan, Md. Mahmudul; Ur Rahman, Nasif (Daffodil International University, 2024-07-15)
    Plants, in all their diversity, represent a valuable contribution from the environment. When illness strikes, whether physical or mental, medicine becomes our primary recourse. Many pharmaceuticals are derived from natural ...
  • Optimizing Vehicle Insurance Processing Through Advanced Deep Learning Models 
    Khan, Sadman Sadik (2024-07-13)
    This paper presents a novel method for predicting insurance claims by utilizing artificial intelligence, specifically a deep learning model within the Convolutional Neural Network (CNN) framework. The purpose is to ...
  • A Smart Waste Management System in Dhaka City Corporation Utilizing IoT Devices 
    Uddin, Sharif (Daffodil International University, 2024-07-15)
    The growing metropolitan area of Bangladesh's Dhaka City highlights the pressing need for creative waste management solutions to deal with the country's growing population densities and related environmental problems. ...
  • Guava leaf disease detection: a powerful approach with vision transformers 
    Doha, Md. Anam Rayad (Daffodil International University, 2024-07-13)
    Guava is one of the most economically important fruits in tropical and subtropical regions like Bangladesh, India, Pakistan and many more. However, its production is significantly impacted by various leaf diseases. In ...
  • Classification of Bangla Book Genres Using Book Cover and Title 
    Hossain, Shahadat (Daffodil International University, 2024-07-13)
    The rapid expansion of e-books and digital libraries has underscored the need for efficient and accurate genre classification systems, particularly for information retrieval, content filtering, and book recommendation ...
  • A Comparison of CNN Architectures Using Transfer Learning to Detect Paddy Leaf Diseases 
    Alvy, Al Imran (2024-07-13)
    I provide a method for real-time detection of Paddy Leaf Disease in my article. Blast, brown spot, and bacterial leaf blight are among the most prevalent diseases that may harm rice plants in my nation. Farmers may be ...
  • Depression prediction among university students using deep learning techniques 
    Shakil, Meheraj Ahammed (Daffodil International University, 2024-07-15)
    Depression is a health disorder which involves the affected individual experiencinglowmood which is the lack of interest or pleasure in usually pleasurable activities or events. It can greatly influence an individual’s ...
  • Early prediction and detection of diabetes mellitus using various machine learning approaches 
    Shopnil, Nafis Rayat (Daffodil International University, 2024-07-13)
    Excess blood glucose levels are indicative of diabetes mellitus (DM), a chronic metabolic disease. Improving patient outcomes and minimizing complications from diabetes need early detection and care of the condition. In ...
  • Cardiovascular disease prediction: a machine learning-based approach 
    Barman, Pranab Chandra (Daffodil International University, 2024-07-13)
    Cardiovascular disease is a common condition that frequently results in deadly consequences, affecting a significant number of people in their middle or later years. Globally, cardiovascular diseases are considered the ...
  • A Review on Cyberbullying Detection Using Machine Learning 
    Jesi, Nilima Rahman (Daffodil International University, 2024-07-15)
    This reveals yet another grave problem: cyberbullying, which is a variety of harmful repeated digital aggression using anonymity and very sophisticated AI machine learning techniques. Cyberbullying is indeed a very common ...
  • Project on Hostel Management System 
    Banik, Amit (Daffodil International University, 2024-07-24)
    As the name suggests “HOSTEL MANAGEMENT SYSTEM” is a program built project for managing different activities in the hostel. For the last several years as we know the number of educational institutions are expanding ...

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