DIU Institutional Repository: Recent submissions

  • Edge Implementation of Lightweight YOLO Models for Real-Time Mango Leaf Disease Detection on RISC-V Powered Device 
    Pashi, Kishon Kumar (Daffodil International University, 2025-01-13)
    An important part of Bangladesh’s income is agriculture, and the mango is both a cultural and an economic symbol. Rajshahi and Chapai Nawabganj, which are known as the “mango hubs of Bangladesh,” help make the country ...
  • Retina Disease Classification using Deep Learning 
    Hossain, Md. Asif (Daffodil International University, 2025-01-13)
    The most common causes of vision impairment worldwide include retinal conditions like Drusen, Diabetic Macular Oedema, and Choroidal Neovascularization (CNV). Early detection and treatment are essential to preventing ...
  • The Impact of AI and ChatGPT on Bangladeshi University Students: A Machine Learning Approach 
    Islam, Md Jhirul (Daffodil International University, 2025-01-13)
    Artificial intelligence has completely digitalized modern education. Numerous cutting-edge AI tools, including ChatGPT and generative AI, are having an impact on our schooling. This study presents a scenario of how Chat ...
  • Exploring Multi-View Graph Neural Network (MV-GNN) for Graph Coloring 
    Sahidul, Musfiqur Rahman; Islam, Md. Minhajul (Daffodil International University, 2025-01-13)
    The Graph Coloring Problem (GCP), which involves determining the chromatic number or the minimum number of colors needed to color neighboring nodes in a graph, is a critical computational challenge with applications in ...
  • Hybrid Deep Learning Approach for Sweet Orange Leaf Disease Detection Using CNN and Vision Transformers 
    Islam, Nahidul (Daffodil International University, 2025-01-13)
    Sweet orange leaf diseases significantly threaten agriculture, necessitating accurate and timely detection for sustainable farming. This study presents a hybrid deep learning approach combining Vision Transformers (ViT) ...
  • CNN- Based Disease Detection For Cauliflower 
    Ahmed, Fariha (Daffodil International University, 2025-01-13)
    Convolutional Neural Networks (CNN) have received a lot of attention for disease identification in agricultural crops like cauliflower because of its capacity to evaluate visual patterns in images automatically and ...
  • Solution Architecture Infrastructure Security Internship 
    Rifat, Akib Istiak (Daffodil International University, 2025-01-13)
    During my internship at GO INNVOIR LTD, I was an intern focusing on security for infrastructure solutions. My main job was to keep the organization's computer security systems running and manage them. I worked hard to ...
  • Hybrid Deep Learning Approach for Sweet Orange Leaf Disease Detection Using CNN and Vision Transformers 
    Islam, Nahidul (Daffodil International University, 2025-01-13)
    Sweet orange leaf diseases significantly threaten agriculture, necessitating accurate and timely detection for sustainable farming. This study presents a hybrid deep learning approach combining Vision Transformers (ViT) ...
  • CNN- Based Disease Detection For Cauliflower 
    Ahmed, Fariha (Daffodil International University, 2025-01-13)
    Convolutional Neural Networks (CNN) have received a lot of attention for disease identification in agricultural crops like cauliflower because of its capacity to evaluate visual patterns in images automatically and ...
  • Solution Architecture Infrastructure Security Internship 
    Rifat, Akib Istiak (Daffodil International University, 2025-01-13)
    During my internship at GO INNVOIR LTD, I was an intern focusing on security for infrastructure solutions. My main job was to keep the organization's computer security systems running and manage them. I worked hard to ...
  • Enhancing Breast Cancer Diagnosis Using CNN and Transfer Learning Model 
    Rifat Akhanda, Ifthiak Ahamed (Daffodil International University, 2025-01-13)
    Breast cancer diagnosis using histopathology images and advanced deep learning techniques. The study evaluates five models: MobileNetV2, ResNet50V2, DenseNet121, DenseNet201, and a custom CNN. Among these, DenseNet201 ...
  • Speech Classification of British And American English Using Machine Learning 
    Jahan, Maskat; Das, Richi Dipayan (Daffodil International University, 2025-01-12)
    This study focuses on the classification of British and American English accents using machine learning, addressing the growing interest in accent-based applications within speech processing systems. Speech samples were ...
  • The Impact of Customer Demographics on Churn Rates in the Telecommunications Industry. 
    Abul Bashar, Muhammad (Daffodil International University, 2025-01-13)
    In this thesis, I aim to develop a machine learning model for predicting customer churn in the telecom industry, using data from major telecom operators in India, including Airtel, Reliance Jio, Vodafone, and BSNL. The ...
  • MediSense: Intelligent IoT Based Health Monitoring System for Personalized Care 
    Islam, Mst. Joyana (Daffodil International University, 2025-01-13)
    This research project addresses the pressing need for the development of advanced health monitoring systems capable of providing real-time and accurate tracking of vital signs. The primary objective is to design and ...
  • MediSense: Intelligent IoT Based Health Monitoring System for Personalized Care 
    Islam, Mst. Joyana (Daffodil International University, 2025-01-13)
    This research project addresses the pressing need for the development of advanced health monitoring systems capable of providing real-time and accurate tracking of vital signs. The primary objective is to design and ...
  • A Dataset for Detecting Intrusion in Software Defined Networking Infrastructures 
    Imran, Jahid (2025-01-13)
    Traditional networking works solely on the responsibility of hardwares (routers, switches) in moving the data between networks and calculating the routing table through various algorithms. Software Defined Network (SDN) ...
  • A Machine Learning Approach for Diabetes Prediction Using Ensemble Feature Selection and Hyperparameter Tuning. 
    Al-Mozahid, Md. (Daffodil International University, 2025-01-13)
    Early identification of diabetes is important for controlling the disease and avoiding problems. To improve the Predictive data mining of Diabetes prediction based on a dataset from Kaggle that focuses on diabetes, In this ...
  • Automated Acute Lymphoblastic Leukemia Detection Using Convolutional Neural Networks. 
    Raju, Md. Nurujjaman (Daffodil International University, 2025-01-13)
    This study investigates the performance of four widely used Convolutional Neural Networks (CNNs) MobileNetV2, InceptionV3, VGG16 and ResNet50 for disease classification tasks, leveraging transfer learning techniques. The ...
  • Buzz-Hub the easiest shopping platform 
    Washif, Kashfi; Ratul, Joy Mollik (Daffodil International University, 2025-01-13)
    In our country, there are a good number of e-commerce websites. Nowadays people’s interest on online shopping is increasing. But there are some issues what they are facing during online shopping like misbehavior of ...
  • SharePost 
    Bhuiyan, Md. Arif Billah (Daffodil International University, 2025-01-13)
    SharePost is a cutting-edge web program that gives users the chance to make money by creating and sharing posts, so empowering them. Anyone who wants to contribute may use this platform; all they have to do is register ...

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