Faculty of Science and Information Technology: Recent submissions

  • Fishnet28: 
    Dey, Arnob; Hasan, Saied (Daffodil International University, 2024-07-15)
    As urbanization advances, technological integration has become a necessity for the sustainable management of diverse ecosystems, where the fish world or the aquatic realm is no exception. This study introduces "FishNet28," ...
  • Predicticting Depression In DIU Students Using Machine Learning 
    Tithi, Tasnim Islam; Saha, Nipa Rani (Daffodil International University, 2024-07-13)
    This study aims to forecast the depression level of the students studying at Daffodil International University (DIU) based on certain factors employing the machine learning model. To gather data, the Patient Health ...
  • Data analysis of footballers to find similarity using KNN and Streamlet framework 
    Jalal, Md. Shah (Daffodil International University, 2024-07-15)
    Predicting in sporting fields has kept its landmark in Machine Learning by analyzing the statistics and other indicators to predict a certain result as desired. The result usually shows the prediction as the user inputs ...
  • Nanoparticle Drug Delivery Systems for Targeted Cancer Therapy. 
    Nayon, Md. Mehedi Hasan (2024-07-13)
    The exploration of nanoparticle medication transport structures is an unexpected methodology in the field of oncology that offers gigantic benefits over traditional cancer remedies. The postulation investigates the ...
  • Bengali social media comments analysis to prevent cyberbullying 
    Abdullah, A. S. M. Sohag; Debnath, Sany (Daffodil International University, 2024-07-15)
    One of the significant wonders of modern technology is social networking platforms. This gives a major acceleration to the field of communication. With such good advantages of this technology this has a darker side too. ...
  • Depression Prediction Among Bangladeshi University Students using machine learning technique 
    Keya, Bijoya Deb (2024-07-15)
    This study investigates the application of artificial intelligence techniques to predict mental health breakdowns among university students based on their daily activities. The research uses various data sources, including ...
  • Traffic Sign Detection and Recognition Using Deep Learning 
    Islam, Md. Jaharul (Daffodil International University, 2024-07-13)
    Automatic traffic sign detection and recognition is a crucial part of traffic management. It offers a precise and efficient method for managing traffic sign with the least amount of human effort. Incorrect direction is ...
  • Wisdomwave: 
    Roy, Joujoniki Asa (Daffodil International University, 2024-07-13)
    The digital era is constantly improving our quality of life. It seems that the whole world is in our hands. It has greatly improved our way of learning. E-learning provides flexible opportunities for learning. Learning ...
  • Advanced Real-Time IoT Based Health Monitoring System 
    Chayan, Ankur Ray (Daffodil International University, 2024-07-13)
    Today’s world is slowly dependent on the IoT. IoT devices create huge impact in every sector of our daily life. The applications of real-time IoT-based health monitoring systems are vast, ranging from remote patient ...
  • Building a Comprehensive Secured CI/CD Pipeline with Integrated Monitoring & Alerting System 
    Miah, Joy (Daffodil International University, 2024-07-24)
    The rapidly evolving landscape of software development is a rather young and actively developing field. There is a tendency for organizations to provide efficient and high-quality applications. This project involves ...
  • Enhancing Exam Security AI-Powered Safe Exam System with Secure Browser Control 
    Islam, Md. Nazmul (Daffodil International University, 2024-07-24)
    The modern world is evolving and connecting to computers on a daily basis. In recent years, e-learning has grown significantly. Maintaining the integrity of exams in the context of online learning is a major challenge ...
  • DDOS detection using ensemble techniques in machine learning models with a tailored companion tool for cyber security analysts 
    Tuba, Sidratul Muntaha (Daffodil International University, 2024-07-13)
    With the increasing occurrence and complexity of cyber-threats, there is a need today to make use of highly performant and robust detection tools for advanced cyber-attacks such as Distributed Denial of Service (DDoS) ...
  • Software quality assurance at creative soft technology ltd 
    Sisir, Sumsul Karim (Daffodil International University, 2024-07-13)
    Modern software systems rely on Software Quality Assurance (SQA) to provide for and maintain assurances of the operations, functionality, and reliability of. Undefinedcorporate world of the cutthroat economy where software ...
  • Anticipating Dengue: Advanced Machine Learning for Timely Epidemic Prediction 
    Ferdous, Jannatul; Rahman, Md. Arafat (Daffodil International University, 2024-07-24)
    This research is about finding better ways to predict and manage dengue outbreaks, a serious illness spread by mosquitoes. To enhance predictions, we are utilizing sophisticated machine learning methods and intelligent ...
  • Identifying of diabetic retinopathy from fundus image using deep learning 
    Abidul Islam, F M (Daffodil International University, 2024-07-13)
    Diabetic retinopathy is one of the complications of diabetes that affects the retina of the eyes resulting to blindness if not diagnosed in time. This is initiated by the destruction of the blood vessels in the layer of ...
  • A Web-based Code Hosting Platform: Code Stream 
    Islam, Akaid (Daffodil International University, 2024-07-24)
    CodeStream is an innovative web application designed to foster collaboration and knowledge sharing among students and faculty at Daffodil International University (DIU). The platform allows users to sign up and log in ...
  • E-Nursery an android base E-Commerce application 
    Hasan, Md. Mehedi (Daffodil International University, 2024-07-24)
    E-Nursery” is an Android-based e-commerce platform tailored for the agricultural sector, presenting a virtual nursery and agricultural supply store. E-Nursery refers to the use of electronic commerce websites or applications ...
  • Automated medicine billing with image recognition 
    Ullah, Mohammad; Nahid, Sayed (Daffodil International University, 2024-07-24)
    This research aims to revolutionize the manual billing processes in pharmacies through an innovative system leveraging image recognition technology. By using a strategically placed camera, the system captures images of ...
  • Alzheimer Disease Detection from MRI Images Using Deep Learning Techniques 
    Yusuf Ali, Mohammad; Ryan, Md Abu (Daffodil International University, 2024-07-24)
    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, ...
  • Plant disease classification using deep learning approaches 
    Rehnuma Akter (Daffodil International University, 2024-07-24)
    This thesis extensively evaluates deep learning models for classifying plant diseases and their effects on agriculture, society, and the environment. Basic CNN, Modified AlexNet, EfficientNet B0, and EfficientNet B4 are ...

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