Faculty of Science and Information Technology: Recent submissions

  • Riyad, Md. Jannatun Nayem (Daffodil International University, 2024-07-13)
    The “Mental Health Support Network" is a web-based project to help individuals facing mental health challenges. My goal is to make it easier for people to find support and resources. The main goal of this web-based project ...
  • Fahim, Fahminul Islam (Daffodil International University, 2024-07-13)
    By using state of the art deep learning models on the Iraq Oncology Teaching Hospital/National Center for Cancer Diseases (IQ-OTH/NCCD) dataset, a novel advancement in lung cancer prediction is demonstrated in this study. ...
  • Das, Tonmoy Chandra (Daffodil International University, 2024-07-13)
    Attendance tracing systems are crucial for organization to monitor the presence of individuals in various settings such as workplace, educational institutions and events. Traditional methods of attendance recording often ...
  • Hossain, Arman (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-01-29)
    Millions of individuals worldwide suffer with diabetes mellitus, a chronic metabolic ailment, and early diagnosis is essential to controlling the condition and avoiding complications. The development of precise prediction ...
  • Khanom, Khadiza (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-02-11)
    Postpartum depression (PPD) poses a significant health concern affecting mothers globally, yet early detection remains a challenge. This research explores a pioneering approach to PPD detection and feature analysis using ...
  • Afroz, Naznin (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Customer churn prediction for telecommunication industry Thesis I used 2 models from dataset KAHHLE to do the work. .K- nearest neighbor algorithm, Decision tree Algorithm Two Datasets are working well but I think K Neighbors ...
  • Khanom, Khadiza (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Postpartum depression (PPD) poses a significant health concern affecting mothers globally, yet early detection remains a challenge. This research explores a pioneering approach to PPD detection and feature analysis using ...
  • Halder, Aninda (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Stress is a common problem with serious consequences for health and well-being, especially among healthcare workers such as nurses. Chronic stress in this population can lead to burnout, affecting both their personal ...
  • Pias, Md. Almahmud (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Online transactions are becoming increasingly popular in Bangladesh, starting from shopping, we transact online. Online payment plays a very important role in paying any shopping bill. To find any possible problems and ...
  • Zonaid, Md.; Sutradhar, Biplob Kumar (Daffodil International University, 2024-07-24)
    SkillSynth is an innovative, interactive, and personalized education platform designed to enhance online learning by leveraging existing AI technologies. It offers a comprehensive solution addressing both content creation ...
  • Unknown author (Daffodil International University, 2024-07-24)
    This report details the design, implementation, and testing of a Smart Water Hydrant system using advanced Internet of Things (IoT) technologies. Developed individually, this project utilizes Node-RED for visual programming ...
  • Sijon, Khaled Bin (Daffodil International University, 2024-07-24)
    Heart disease is a major risk to public health, accounting for 17.9 million deaths globally annually. Predicting cardiac disease with machine learning (ML) approaches like Linear Regression, Random Forests, Naive Bayes, ...
  • Haque, Majbaul (Daffodil International University, 2024-07-24)
    The frequency of alopecia, a group of illnesses characterized by hair loss, makes diagnosis and treatment extremely difficult. Conventional diagnosis techniques produce outcomes that are subjective and inconsistent since ...
  • Chowdhury, Fatin Fuad (Daffodil International University, 2024-07-24)
    Classification of fresh and rotten vegetables is essential in our everyday life as it becomes difficult sometimes to identify earlier whether the vegetables are fully fresh or not. There is a possibility of suffering ...
  • Mahamud, Md. Hasan (Daffodil International University, 2024-07-24)
    MRI scans can be used to diagnose some types of brain diseases, which can lead to early treatment of the diseases. This study employs deep learning approaches to develop robust models for automated brain disease detection ...
  • Fama, Fatema Faruque (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    This study explores how people incorporate smartwatches into their daily lives. I used Partial Least Squares Structural Equation Modeling (PLS-SEM) as the statistical approach, utilizing the SmartPLS tool to analyze the ...
  • Rahim, Md Abdur Raufur (Daffodil International University, 2024-07-24)
    This project aims to develop a web-based car servicing center to modernize the automotive service industry. The platform offers customers the convenience of booking services online 24/7, with real-time updates and seamless ...
  • Dowlla, Md. Asaf-Ud (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    This thesis explores the integration of Artificial Intelligence (AI) in tertiary-level education in Bangladesh, examining the perceptions, usage, and impact of AI among students from various universities. A survey conducted ...
  • Dhar, Bijoy; Shuvo, Monir Husain (Daffodil International University, 2024-07-24)
    Millions of individuals worldwide suffer from skin illnesses, which pose considerable health and economic difficulties. Accurate and prompt diagnosis is crucial for successful treatment and management. Traditional ...
  • Rafid, Golam Faiyaz; Das, Shreya (Daffodil International University, 2024-07-13)
    The recognition of emotions in animals, particularly birds, through vocalizations holds significant promise for understanding avian behavior and welfare. In this study, we propose a novel approach to classify bird species ...

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