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Thesis Report: Recent submissions

Now showing items 41-60 of 303

Generating Tissue Images From RNA-SEQ Profiles Using Deep Generative Models

Sarkar, Utsab (Daffodil International University, 2025-12-24)

It is still very hard to combine molecular profiling with histopathological imaging in computational pathology. Reason bulk RNA sequencing only shows the average amount of gene expression and does not give you the spatial ...
Ensemble Machine Learning Approach for Coronary Artery Disease Prediction and Risk Factor Analysis

Barsha, Mist. Fabia Akter (Daffodil International University, 2025-12-24)

The development of precised, effective, and non-invasive diagnostic process is necessary for early intervention since coronary artery disease (CAD) continues to be a major worldwide health concernd. Traditional machine ...
Cardiovascular Disease Detection using Ensemble machine learning.

Hasan, Abid (Daffodil International University, 2025-12-23)

Since cardiovascular disease (CVD) is the leading cause of death worldwide, there is an urgent need for early and accurate diagnostic tools. A novel and potent method for building such highprecision predictive models from ...
Enhancing Sports Performance with Big Data and Machine Learning-Powered Predictive Analytics

Hasan, Rokib (Daffodil International University, 2025-11-15)

In today’s football, the use of “Big Data” continues to rise in importance but there remains a substantial distance between the wealth of tactical information contained within fullmatch footage and what actionable, ...
Leveraging Federated Learning & Explainable AI for Robust Brain Tumor Diagnosis

Siam, Masrafe Bin Hannan (Daffodil International University, 2025-12-27)

Brain MRI classifiers sometimes have trouble generalizing between hospitals because of privacy rules and differences in protocols. In addition to being accurate, clinicians need clear models that back up predictions with ...
Integrating Explainable AI with Federated Based Deep Learning for Accurate and Transparent Lung Cancer Classification

Khan, Md Rayhan (Daffodil International University, 2025-12-27)

Lung cancer is still the most common cause of cancer death, and the best way to improve survival is to move the diagnosis from late to early-stage disease. However, high-performing models are often trained on small, separate ...
SQLi Attack Detection Using Machine Learning Techniques for Web Application Security

Hasan, Md. Siam (Daffodil International University, 2025-12-27)

This thesis addresses the persistent threat of SQL injection attacks, which remain one of the most critical vulnerabilities in web applications despite the widespread use of firewalls and input filters. Such traditional ...
End-To-End YOLOv12-Based Multi-Stage Pipeline for Bangla License Plate Recognition

Nowshin, Iffat Ara (Daffodil International University, 2025-12-27)

Automatic License Plate Recognition (ALPR) systems are critical for intelligent transportation and security infrastructure yet remain challenging for scripts with complex characters like Bangla. Bangla license plate contains ...
Smart Traffic Signal Control for Dynamic Traffic Management and Emergency Vehicle Prioritization

Saim, Abu (Daffodil International University, 2025-12-30)

This thesis presents an intelligent traffic monitoring framework using YOLOv8 for realtime detection is proposed. This framework utilizes both traffic videos from UADETRAC and an emergency vehicle dataset to provide enhanced ...
Detecting Network Intrusions: Leveraging Neural Networks for Real-Time Anomaly Detection

Asaduzzaman, Md (Daffodil International University, 2025-12-27)

The rapid-fire growth of ultramodern network architectures, driven by IoT bias, pall-edge ecosystems, and high-speed communication technologies, has boosted the need for intrusion discovery systems able of operating in ...
Explainable Deep Hybrid Network Approach for Multiclass Classification of Dermatological Disorders from Macroscopic Images

Rafiq, Fatima Binta (2025-12-27)

Skin diseases are prevalent health problems around the world and there effects on patients can be not only painful but disturbing. Misdiagnosis or late diagnosis may cause complications, chronic propagation and recurrence ...
Diu_Course_Tube

Pal, Shiddhartha (Daffodil International University, 2025-12-27)

DIU_COURSE_TUBE represents an innovative, modernized, and interactive video sharing platform that will serve as a model for a contemporary video sharing service such as YouTube. Built upon a state-of-the-art technology ...
Evaluating Password Security and User Awareness Using Machine Learning to Prevent Cyber Risks

Ayon, Refat Hasan (Daffodil International University, 2025-12-27)

Cyber-attacks on the rise, protecting sensitive information through robust password security is more important now than ever. While multi-factor authentication and other advanced security technologies have become more ...
Hybrid DenseNet–ViT Architecture for Efficient Sugarcane Leaf Disease Detection

Rasel, MD Aminul Islam (Daffodil International University, 2025-12-27)

Sugarcane is an important tropical agricultural crop, which is under the threat of several leaf diseases like mosaic disease, red rot, rust, yellow leaf and mawa (banded blight) that causes a huge loss in yield. Traditional ...
Proctor Repository System

Shanto, Md. Sabbir Ahmed (Daffodil International University, 2025-12-25)

The Proctor Repository System is a web-based system developed for Daffodil International University to modernize the current student complaint management processes. In this system, a student can report their complaints ...
Digital E-learning with Gamification

Areyan, Irfan Kafil (Daffodil International University, 2025-12-30)

This project outlines building a modern, user-friendly online learning platform. The platform is engineered to facilitate a dynamic digital learning environment by providing distinct, role-based interfaces for students and ...
Skin cancer image classification using convolution neural network with transfer learning based on VGG16

Mustakin, Elhan Manjid (Daffodil International University, 2025-12-27)

Skin cancer is a very dangerous type of cancer and is still one of the most common causes of death around the world. It is important to find and correctly diagnose things early to raise survival rates, but old ways of doing ...
Convolutional Neural Network Approach for Classifying Brain Tumors from MRI Images

Rahman, Tarikur (Daffodil International University, 2025-12-27)

The brain tumors are the irregular growths of cells in the brain that may impair the brain neurological functions and cause extreme consequences when not recognized at early stages. Magnetic resonance imaging (MRI) is ...
Phishing Website Detection Using Ensemble-Based Machine Learning Approaches

Rahat, Syed Naimur Rahman (Daffodil International University, 2025-12-27)

Phishing is relatively one of the most common and dangerous cybersecurity threats in existence and convinces users to expose sensitive information by using fake websites. These attacks have dynamic structures and advanced ...
A Machine Learning Approach for Multi-Attack Classification in Intrusion Detection Systems with the CICIDS2017 Dataset

Sifat, Didarul Islam (Daffodil International University, 2025-12-30)

A fast increase in the digital connectivity in different areas like the finance sector, healthcare sector, and the military has made it much easier to be targeted by cyberattacks, which have revealed the weakness of the ...

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