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A Hybrid Statistical–Machine Learning Approach Uncovers Distinct Immune and Proliferative Pathways in Lung Cancer Transcriptomes..

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

Lung cancer is the greatest cause of death in the world among all types of cancer. It is brought about by complicated genetic variations, variation in transcription and immune system interactions. RNA-seq data (N= 739 ...

A Privacy-Preserving Federated Learning Approach for Segmenting Lung Abnormalities in Lung CT Scans

Nawaz, Shah (Daffodil International University, 2025-12-27)

The detection of lung cancer at an early stage requires a lot of proper and timely anal- ysis of the computed tomography (CT) images. Nevertheless, the development of high- performance diagnostic models often requires ...

Thyroid Disease Prediction Using Machine Learning Algorithm

Hossain, Mukabbir (Daffodil International University, 2025-12-27)

Thyroid diseases are those disorders which are not easily detected because of their nondescript initial symptoms and complicated diagnosis. This study presents a systematic study that involves machine learning models to ...

Identification of Dementia Disease Using Ensemble Machine Learning model

Shaon, Maruf Ahmed (Daffodil International University, 2025-12-27)

Dementia is a significant public health issue worldwide, and early detection is important to address the coalescence of the condition. Traditional diagnostic approaches conventionally involve extensive clinical expert ...

Hotel Management System

Mondal, Sowrav (Daffodil International University, 2025-12-27)

The Roberto Hotel and Resort system is a web-based application to automate hotel operations for medium and small hotels. The system supports multiple roles with valuable features like booking, payment, refund, and management. ...

A Study on Quantitative Analysis of Customer Satisfaction and Its Impact on Retention Using Statistical and Machine Learning Models

Tisha, Sadika Islam (Daffodil International University, 2025-12-27)

Customer satisfaction and customer retention are essentially related to business strategy, but it is usually assumed without immediate quantitative proved. Subsequently, this problem is addressed in this research, which ...

Deep Transfer Learning Framework for Alzheimer’s Disease Classification with Explainable AI Insights

Prema, Sadia Tasnim (Daffodil International University, 2025-12-27)

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that requires early and reliable diagnosis, especially in low-resource settings. This study proposes an explainable deep learning framework for multi-class ...

Adaptive Multi-Objective Waste Intelligence System: Hierarchical Transfer Learning for Real-time Recyclable Material Recognition with Edge Computing Deployment

Hossain, MD Sifat (Daffodil International University, 2025-12-27)

The current waste crisis in the world, which generates over 2.12 billion tons annually, requires highly advanced technological interventions. This thesis introduces AMWIS, a novel hierarchical transfer learning framework ...

Sequence-Based Prediction of Amyloid Proteins Using a Hybrid CNN- GRU Deep Learning Architecture

Anu, Muhsana Saima (Daffodil International University, 2025-12-27)

Amyloid fibrils formed by misfolded proteins are central to the pathology of several neurodegenerative disorders, including Alzheimer’s and Parkinson’s disease. Reliable in silico prediction of amyloidogenic proteins and ...

ParKNGo : A Parking Management System

Ridoy, Md. Alamin (Daffodil International University, 2025-12-27)

The ParKNGo Parking Management System is a full-stack web-based application developed to address common urban parking problems by providing a smart and digital solution. The system connects customers who are searching for ...

Cybersecurity Operation and Digital Forensics Implementation Project

Badhon, Md. Badiujjaman (Daffodil International University, 2025-12-27)

Beep Report on Technical Internship experience as a Technical Executive at Backdoor Pvt. Ltd (3 Months) This lengthy report describes the professional knowledge and technical skills I acquired through my three-month ...

Effects of Image Augmentation on Multi-Class Retinal Disease Prediction

Shitol, Minhajul Islam (Daffodil International University, 2025-11-27)

Small datasets and device-to-device variations in image quality frequently limit deep learning for color fundus images. In this thesis, I use a nine-class dataset of 4,500 images (500 per class) to examine the impact of ...

Adaptive and Resilient Machine Learning Model for Anomaly and Intrusion Detection in Modern Networks

Rahman, Md. Mosfiqur (Daffodil International University, 2025-12-27)

Due to increased complexity and frequency of attacks, we should leave behind the oldsignature-based systems used to detect networks and adopt newer and dynamic detectionsystems of anomalies. The existing static machine ...

Online Survey

Datta, Sudip (Daffodil International University, 2025-12-30)

Major companies in Bangladesh struggle to capture market trends due to insufficient consumer data, inefficient payment systems, and costly traditional survey methods. This gap hinders business growth and innovation. TaskBuddy ...

Identification Of Hormone Binding Proteins Using Multi-Informative Features Incorporating Ensemble Learning Approach

Punno, Khadiza Islam (Daffodil International University, 2025-12-30)

The growth of genomic and proteomic databases has led to an enormous annotation gap in which the amount of uncharacterised protein sequences has dramatically increased relative to the ability of slow and costly experimental ...

3D Volume Reconstruction from Sparse 2D CT Slices Using Lightweight CNN & Attention

Kana, Shrabanti Dash (Daffodil International University, 2025-11-27)

Sparse slice acquisition is used to a great extent in the low dose CT imaging. This assistsin reduction of radiation. Nonetheless, it is likely to damage the quality of 3D reconstruction significantly. The resultant artifacts ...

Anomaly Detection in IaC Scripts to Prevent Cloud Misconfigurations Using Unsupervised Learning

Shibly, Noor Elahi Ali (Daffodil International University, 2025-12-30)

Poorly configured Infrastructure as Code (IaC) is still a major problem in cloud security, particularly because conventional rule-based tools may frequently fail to see hidden, sophisticated, or even entirely novel risks. ...

A Data-Centric Approach to High-Accuracy Traffic Sign Detection Using an Optimized YOLOv8 Model

Basak, Piyash (Daffodil International University, 2025-12-30)

In the burgeoning universe of self-driving cars and intelligent driver-assistance systems, nothing is more important than safety. For the safety of these vehicles, they need to be able to look at a traffic sign and understand ...

FusionEyeNet: An Integrated Web-Based System for Explainable External Eye Disease Classification and LLM-Powered Personalized Recommendations

Ghosh, Dipu (Daffodil International University, 2025-12-30)

Given the worldwide prevalence of eye diseases, we need to develop new ways for diagnosing them, particularly in resource-poor areas. Recent deep learning models for ophthalmology generally have a lower coverage of diseases, ...

Explainable AI Model Using Federated Learning for Eye Disease Diagnostics

Farid, Md Nur Hossain (Daffodil International University, 2025-12-30)

Retinal disease is still the most common cause of cancer death. The most effective way to improve survival is to change the diagnosis from late-stage to early-stage disease. But high-performing models are generally trained ...

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