Faculty of Science and Information Technology: Recent submissions

  • Automated Trash Detection System Using Image Processing 
    Yeakub, Md (Daffodil International University, 2024-01-22)
    In this modern world any type of detection is an important task. The reason is that in this 20th century anything can be easily found through detection. Among the several types of identification, trash detection is one ...
  • Blockchain Security Assessment : A Review Base Assessment 
    Haque, Md. Asraful (Daffodil International University, 2024-01-01)
    Blockchain technology, distinguished by its decentralized and irreversible design, has gained rapid adoption across sectors, offering heightened security and transparency. Despite its promises, the rising usage of ...
  • Thesis on Lung and Colon Cancer Prediction and detection using Deep Learning 
    Dibosh, Arnob Ghosh (Daffodil International University, 2024-01-01)
    Classification of medical images is essential to the diagnosis of many diseases. This paper presents a thorough analysis of multimodal deep learning fusion methods for problems involving the classification of medical ...
  • Dengue fever anticipation: insights from advanced ml and deep learning models 
    Siam, A. K. M Fazlul Kobir (Daffodil International University, 2024-01-22)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including dengue disease, drawing considerable attention due to its impact on a large population. The severity of the illness can ...
  • Development of a website name "Sports camp" 
    Hasan, Md. Nahid; Fahem, Faysal Hossain (Daffodil International University, 2024-01-01)
    Sports camp based web application could be a comprehensive and user-friendly online platform outlined to streamline and upgrade the method of planning and overseeing sport arrangements. The framework points to progress ...
  • Implementation of Bloom's Taxonomy for Academic Evaluation 
    Himel, Fahim Hasan (Daffodil International University, 2024-01-01)
    Aim of this project is to implement Bloom’s Taxonomy model on academic evaluation system. Academic evaluation measures the performance of students. It is actually the outcome of a student’s learning. It’s a traditional ...
  • Virtual Visiting Card 
    Rahaman, Israth (Daffodil International University, 2024-01-01)
    This web-based project “Virtual visiting card” describes about the creation of an inventive way to transform the conventional exchange of contact or personal details into a virtual visiting card. In order to promote ...
  • Unifinda web-based System for Private University Admission 
    Hadi, Saif Abdullah (Daffodil International University, 2024-01-01)
    In today's Bangladesh, everyone likes to Take Higher education in Various Subjects. We start workingwith those who have completed their HSC Exam and are Building careers. As we have seen, a university admission candidate ...
  • Leveraging Algorithms for depression detection in natural language processing 
    Hassan, Nazmul (Daffodil International University, 2024-01-01)
    This research presents a comprehensive exploration of depression identification methodologies, employing a diverse array of classification algorithms, including Logistic Regression, Random Forest, Gradient Boosting, ...
  • Football Player Position Prediction Using ML 
    Miah, Md. Hasan (Daffodil International University, 2024-01-01)
    Precisely anticipating a player's position is critical to the success of team tactics and talent scouting in football, as every position requires a unique set of talents. This thesis uses an extensive dataset of 100,995 ...
  • Deep learning-based real-time traffic rule violation detection system: detects valid and invalid vehicles or objects on main roads using the yolo model 
    Paramanya, Sourave (Daffodil International University, 2024-01-22)
    Traffic rule violations are a significant issue in cities, causing bottlenecks and accidents due to slow-moving vehicles, rickshaws, and illegal vehicles. These infractions impede traffic flow and increase the risk of ...
  • Brain hemorrhage recognition using deep learning approach 
    Shimanto, Sakib Shahariar (Daffodil International University, 2024-01-22)
    This study addresses the use of deep learning techniques, including Inception, ResNet, Xception, AlexNet, and MobileNet, for the identification of brain hemorrhages in medical imaging. Motivated by the crucial need for ...
  • Old Bike-Selling Website 
    Trisha, Sumaiya Pias (Daffodil International University, 2024-01-01)
    Old Bike-Selling Website” is a dedicated online platform designed for enthusiasts, collectors, and riders passionate about classic motorbikes. Our web application provides a user-friendly and secure marketplace for buying ...
  • Enhancing random forest model for cancer detection: a multi objective hyper parameter tuning strategy 
    Islam, Md Saykot (Daffodil International University, 2024-01-01)
    Early and accurate cancer detection is crucial for improving patient outcomes from this lethal disease, but traditional methods often lack sensitivity or specificity. Machine learning algorithms, particularly Random ...
  • Exploration on Use of time series analysis and machine learning to predict the population of countries and global Trend 
    Tanmoy, F.M. (Daffodil International University, 2024-01-01)
    This study focuses on the crucial task of forecasting population growth, a fundamental aspect of planning for a nation's future development. Utilizing advanced machine learning techniques, we aim to predict future ...
  • Various Machine Learning Approaches for Sentiment Analysis on Movie 
    Anny, Fatema Tuz Zohra (Daffodil International University, 2024-01-01)
    Sentiment analysis is an essential task in natural language processing that is critical to comprehending user attitudes and public opinion in a variety of fields. This study compares and thoroughly examines several ...
  • A Comparative Analysis of CNN and Transfer Learning Approaches for Mango Leaf Disease Detection 
    Shayam, Shahriar Emon (Daffodil International University, 2024-01-01)
    The comparative analysis of CNN and transfer learning approaches delves into the application of agriculture, with the specific focus on mango leaf disease detection. The core objective of the study is to develop an ...
  • Anxiety Disorder Detection Using Machine Learning Approach 
    Mim, Sharmin Sultana (Daffodil International University, 2024-01-01)
    The objective of this research is to tackle urgent problems in the early identification of Anxiety Disorder, specifically in Bangladesh. The country is renowned for its high prevalence of this mental disorder, which is ...
  • Sentiment analysis of recent flood disaster of Bangladesh from social media Bangla comments using deep learning 
    Haque, Md. Imdadul (Daffodil International University, 2024-01-01)
    This study provides complete sentiment analysis of Bengali social media posts made in the course of the country's recent flood disaster. We use deep learning models, such as CNN and Bi-LSTM, to evaluate a dataset of 4036 ...
  • RGNN: Radiomic Graph Neural Network for Glioma Grading Utilizing 3D Magnetic Resonance Images with clinical significant features 
    Aiyubali, Md. (Daffodil International University, 2024-01-01)
    Glioma, a prevalent and devastating brain tumor, presents formidable challenges in diagnosis and prognostication. This study endeavors to enhance glioma grading accuracy by leveraging 3D MRI data and a comprehensive array ...

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