Faculty of Science and Information Technology: Recent submissions

  • Bangladeshi Road Traffic Sign Detection And Navigation Using Deep Learning 
    Komol, Tawhid Ahmed (Daffodil International University, 2024-07-13)
    Bangladeshi road traffic sign detection is a must for enhancing road safety and aiding autonomous driving systems by accurately identifying and interpreting local traffic signs. This work focuses on the development of ...
  • Analysis of Skin Cancer feature pattern using GNN incorporating a Novel segmentation method. 
    Akter, Morium (Daffodil International University, 2024-07-13)
    This study presents a comprehensive approach for the classification of skin lesions into benign and malignant categories using a combination of k-means clustering segmentation and advanced computational models. The ...
  • Smart Retail Using Customer Loyalty & E-Invoice 
    Nafir, Md. Nattachiuj Jaman (Daffodil International University, 2024-07-13)
    As the retail landscape undergoes a paradigm shift towards digitalization and enhanced customer experiences, integrating customer loyalty programs and e-invoices into retail environments has become essential. This research ...
  • Enhancing Rice Pest Classification Through Machine Learning and Deep Learning Techniques 
    Akanda, Shawkat Uddin (Daffodil International University, 2024-07-13)
    The production of rice is essential to the world's food security, yet pests provide a constant danger and can result in large productivity losses. For efficient pest management techniques, rice pests must be identified ...
  • Smart Question Bank and Exam Model for Future Career Assesment 
    Fahim, Farjanur Rahman (Daffodil International University, 2024-07-13)
    This project study utilized A Smart question bank and exam model for future career assessment. The goal of this study is to improve future professional assessments through the creation and application of an online smart ...
  • Predictive Analysis of Temperature-Related Challenges in Bangladesh: 
    Hasan, Md Akil; Rahman, Md. Mostafizur (Daffodil International University, 2024-07-24)
    We are writing a paper based on the temperature in Bangladesh. Where we are working on a dataset from (2000-2022) that spans 23 years. We collected the data from NASA’s website(power data access viewer) [31] to help us ...
  • Exploring Deep Learning Architecture For Complex Hand Sign Language 
    Islam, Gazi Rashidul (Daffodil International University, 2024-07-13)
    This research paper describes how advanced deep learning methods were used to create a system that can recognise Bangla Sign Language (BSL). The goal of the project is to help the deaf people who speak Bangla communicate ...
  • Detecting Handwritten Bengali Mathematical Expressions Using Neural Networks 
    Ahsan, Md. Monjurul; Ahmad, Ishan (Daffodil International University, 2024-07-13)
    The problem of handwritten numerical expression recognition in languages such as Bengali is not well studied in machine learning, even though research on handwritten equations is well known. This work presents a thorough ...
  • Mental Health Support Network 
    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 ...
  • Lung Cancer Detection with Deep Neural Network 
    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. ...
  • Attendance system based on face recognition using lbph method 
    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 ...
  • Diabetics Prediction System Using Machine Learning Algorithms “A Case Study Among Female Patient 
    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 ...
  • Postpartum Depression Detection and Its Features Analysis By Machine Learning Approach 
    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 ...
  • Customer Churn Prediction For Telecommunication Industry 
    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 ...
  • Postpartum Depression Detection And Its Features Analysis By Machine Learning Approach 
    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 ...
  • Stress Classification From Wearable Multimodal Physiological Signals: Deep Learning Approach 
    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 ...
  • Customer Satisfaction Sentiment Analysis For Online Transactions In Bangladesh Using Machine Learning 
    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 ...
  • SKILLSYNTH: 
    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 ...
  • Smart Water Hydrant System (IoT) 
    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 ...
  • Improving Heart Disease Diagnosis Through Supervised Machine Learning Techniques 
    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, ...

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