Faculty of Science and Information Technology: Recent submissions

Now showing items 41-60 of 5328

Fresh and Rotten Bangladeshi Fruits Classification Using Deep Learning Techniques

Binty, Fahmida Fyeza; Akter, Nurani (Daffodil International University, 2025-09-17)

This thesis presents a deep learning–based approach for automating the classification of fruits as fresh or rotten, focusing on apples, bananas, and oranges. A dataset of over 13,000 images was preprocessed through ...
A Hybrid Approach for Cervical Cancer Classification: Combining D-CNNs, Transfer Learning, and Ensemble Models

Hanzala, Abu; Akter, Tanjila (Daffodil International University, 2025-09-17)

Cervical cancer is the top cause of cancer deaths in women globally, despite being easily preventable through early diagnosis and treatment. This papers suggested deep learning methods, particularly transfer learnings, ...
Ad Click Prediction Using Machine Learning

Redoy, Abdullah All Mamun (2025-09-17)

The rapid growth of programmatic advertising has made click-through rate (CTR) prediction a cornerstone for optimizing digital marketing spend and enhancing user experience. Accurately forecasting which ad impressions will ...
Design and Development Web-Based E-commerce Website with AI Integration

Shovo, Md. Ashikur Rahman (Daffodil International University, 2025-09-17)

Online shopping has become an essential aspect of daily life in the current digital era, especially in quickly emerging economies like Bangladesh where technological breakthroughs are changing corporate methods and customer ...
Helmet and Number Plate Detection Using YOLOv12 Deep Learning Framework in a Web-Based Application

Rafid, Md Imran Jawad Khan (Daffodil International University, 2025-09-17)

Road traffic crashes being a serious concern in Bangladesh, and other developing countries, lack of helmets use and non-registered vehicles are significant causes of deaths and injuries. Conventional traffic observation ...
Identification of Potato leaf disease using lightweight transformer architecture and mobile app-based detection

Hossain, Md. Tamim (Daffodil International University, 2025-09-17)

Agriculture faces significant challenges from plant diseases, with potato production particularly vulnerable to early and late blight, leading to substantial yield losses and food insecurity. Conventional diagnostic methods ...
Plant Disease Classification

Islam, Shaikh Mahmudul (Daffodil International University, 2025-09-17)

This project develops a deep learning-based solution for detecting and classifying plant diseases using a dataset of 4000 leaf images across eight classes: Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall ...
Beyond the Bite: Unraveling the Mysteries of Food Allergy Through Epigenetics and Machine Learning

Nasrin, Farjana (Daffodil International University, 2025-09-16)

Food allergies are a growing public health issue and their prevalence is on the increase worldwide as a result of complex, and interaction between genes, environment and lifestyle. Traditional diagnostic tools are still ...
Automated Detection of Myocardial Infarction(MI) Complications Using Deep Learning Models on ECG Images

Hasan, Md Kamrul (Daffodil International University, 2025-09-17)

Automated Myocardial Infarction (MI) Detection System is aimed at increasing the accuracy and speed of MI diagnosis by processing electrocardiogram (ECG) images. The system categorizes ECG images as normal ECG, abnormal ...
Carbon Aware Protocol for fault tolerant network

Biswas, Prosunjit (Daffodil International University, 2025-12-22)

The increasing energy consumption of information and communication technologies has raised significant environmental concerns, particularly regarding carbon emissions associated with network infrastructure. This research ...
Brain Tumor Detection Using Graph Neural Network

Akter, Farjana (Daffodil International University, 2025-11-24)

Brain tumors make up an important global fitness mission and accurate and timely detection. It is a must in treating for better prognosis of a patient impacted. Most of the conventional so detection methods is based on ...
Predicting Entrepreneurial Intention Among Computer Science Students Using Structural Equation Modeling and Machine Learning

Sillah, Abu Bakarr (Daffodil International University, 2025-10-12)

Entrepreneurial intention (EI) among students are critical drivers of innovation, job creation, and economic growth in contemporary societie. This study examines the determinants of entrepreneurial intention (EI) among ...
Attention-Based Sequence-to-Sequence Neural Machine Translation from English to Bangla

Borson, Prattoy Paul (Daffodil International University, 2025-10-09)

Neural Machine Translation (NMT) has emerged as a dominant form of automatic languages, especially in the case of lower-resourced languages like Bengali. We developed an English-to-Bengali translation system utilizing the ...
Efficient and Interpretable Deep Learning for Mango Leaf Disease Detection Using Knowledge Distillation and XAI

Uddin, Nasir (Daffodil International University, 2025-09-13)

Mango leaf diseases are a major cause of crop loss and can only be minimized through accurate and on-time disease identification. This paper proposes an effective and explainable deep learning model of mango leaf disease ...
Guided Learning with Reinforcement Learning for Bias Mitigation in LLMs

Shovon, Shazid Nawas (Daffodil International University, 2025-10-04)

The introduction of large language models (LLMs) has led to global attention being focused on a few high-stakes ethical issues - not least among them would be that they amplify and spread social prejudices inevitably ...
ALSA-3: Customized CNN model through ablation study for Alzheimer's disease classification

Saha, Arpa (Daffodil International University, 2025-10-25)

Alzheimer’s disease is a widespread neurological disorder which affects millions of people around the world and presents complex challenges for patients, families, and healthcare providers. A mix of non-pharmaceutical and ...
Machine Learning Approaches of Social Media Addiction Among Bangladeshi Students

Das, Shuvro (Daffodil International University, 2025-09-24)

Using excessive use of social media can use many kinds of mental health issue. In my project work I was trying to build a machine learning project that can help students their social media addiction status. In my project ...
A False Sense Of Security: Enhancing Resilience Against Cyberattack Through An Improved Security Awareness Model

Mohsin, MD. (Daffodil International University, 2025-01-18)

Cybersecurity has become a crucial concern in today‘s increasingly digital world, especially for students who rely on online platforms for education, communication, and personal activities. This thesis investigates the ...
Statistical Analysis of Post Covid Symptoms on Recovered Patients With ML

Zoynob, Bibi (Daffodil International University, 2025-01-18)

As the COVID-19 pandemic elapses, too many attention is being given to long COVID: it is a set of symptoms that people experience after covid infection. Since it is so new, we are still learning about it. The more we ...
Online Order System App for Pharmaceiticals

Rahman, Sheikh Md. Mizanur (Daffodil International University, 2025-02-03)

The rapid advancement of digital technology has significantly transformed the healthcare and pharmaceutical industries. This thesis presents the development of an "Online Order System App for Pharmaceuticals," specifically ...

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