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Thesis Report: Recent submissions

Now showing items 201-220 of 357

Quantitative Attention Validation and Continual Learning for ECG Arrhythmia Detection with Elastic Weight Consolidation

Shakib, Md. Wahiduzzaman (Daffodil International University, 2025-11-30)

Deep learning to predict ECG arrhythmia has a reputation of achieving accuracies of over 98% but this is usually due to intra-patient splits which inflate results and do not extrapolate to clinical locations. Our interpretable ...
Multimodal Fusion of Whole Slide Imaging, mRNA Expression, and Clinical Features for Colorectal Cancer Tumor Staging Using XGBoost and Lightweight Convolutional Networks

Reza, Md Arif Ahammed (Daffodil International University, 2025-11-29)

Accurate tumor staging is essential for optimizing colorectal cancer treatment planning and improving patient outcomes. The interpretation of histopathological slides is used as the foundation of cancer staging, in the ...
Leveraging AI for Food Waste Sorting in Urban Areas

Talukder, Razin Saleh (Daffodil International University, 2025-12-30)

The current paper deals with management of urban food solid waste (FSW), which is the high-priority issue of health, environmental sustainability, and activities of cities. It is the nature of the issue brought into the ...
A Hybrid Deep Learning Framework for Improved Breast Cancer Classification

Arpi, Asfia Haque (Daffodil International University, 2025-12-30)

It is a grave health problem on a global scale and diagnosis of breast cancer should be evident at the initial level, which will enhance results. This article creates effective deep learning systems on the BreakHis dataset ...
Cybersecurity and Quantum Computing: Challenges and Countermeasures

Sabah, Nafee Ibn (Daffodil International University, 2025-12-29)

It would be wrong to say classical computers are the future because now this is the age of “Quantum Computers”. This study aims to explain how it works, what are the issues with current cryptographic solutions that are ...
Improving Email Security Through Machine Learning-Based Spam and Phishing Detection

Utshob, Orgho Kanti Sarker (Daffodil International University, 2025-12-30)

Electronic communication is growing at an exponential pace and it has become critical in this age to utilize email for personal and professional correspondence. But this rise has also generated a lot of spam and phishing ...
A Multi-Modal Deep Learning Framework for Breast Cancer Prediction and Stage Identification Using Mammography and Ultrasound Images

Mim, Mymona Akter (Daffodil International University, 2025-10-30)

Breast cancer remains one of the most prevalent causes of mortality among women worldwide, highlighting the urgent need for accurate, accessible, and automated diagnostic systems. This study investigates the effectiveness ...
Sentiment Analysis of Customer Feedback Using NLP Techniques

Anjum, Syeda Sadika (Daffodil International University, 2025-11-30)

In an attempt to reach the end product of rich sentiment categorization, this research offers an end-to-end sentiment analysis system which incorporates the state-of-the-art in deep learning methodsin addition to traditional ...
Smart Universal Automated Incubator System

Nakib, Hisam Mohammad (Daffodil International University, 2025-11-30)

This project outlines the design and development of the Smart Universal Automated Incubator System, which is called EggSync 360, which is a high-precision, industrial- grade incubation system developed to be a high-precision ...
A Comparative Analysis of ResNet-152 and MobileNetV2 for Automated Skin Cancer Detection

Mahbub, Farjana (Daffodil International University, 2025-11-30)

Skin cancer is a common and lethal disease, and its diagnosis is often made difficult by the quite similar visual appearance between malignant and benign lesions. Artificial intelligence (AI), and in particular deep learning ...
Optimized Deep Learning Architecture for Early Detection of Lung Cancer

Basar, MD. Habibul (Daffodil International University, 2025-11-30)

Lung cancer has been among the causes of cancer related deaths worldwide. Computed tomography (CT) imaging can be used to detect the disease at an early and accurate stage to enhance patient survival rates. Nevertheless, ...
Reinforcement Learning-Based Strategic Level Generation for Turn-Based Grid Games

Hossain, Md Rakib (Daffodil International University, 2025-11-30)

Procedural content generation for turn based strategic games is challenging due to the need to satisfy multiple competing design objectives such as strategic depth balance and playability. Traditional manual and search ...
Rice Leaf Diseases Classification Using Convolutional Neural Networks.

Rimi, Sadia Afrin (Daffodil International University, 2022-12-17)

Rice is one of the major developed crops in Bangladesh which is influenced by different infections at different stages of its cultivation. It is exceptionally troublesome for the farmers to manually identify these infections ...
Exploring the efficiency of transfer learning in Brinjal disease detection using deep learning

Hasan, MD. Zahid (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-01)

About 75% of the people in Asian countries rely on agriculture for their livelihood. Bangladesh is a country highly dependent on agriculture [1]. About 45.33% of the population of the country was engaged in the agriculture ...
Ghapfy – The Next Generation Content Creation and Interaction Platform

Sutradhar, Utsa Chandra (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-01)

In the rapidly evolving digital landscape, the demand for versatile and integrated content creation tools is ever-growing. "Ghapfy" emerges as an innovative application designed to revolutionize the way users create, share, ...
A stacking model for prediction of IL-6 inducing peptides using machine learning techniques

Emon, Mir Maruf Hossain (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-01)

Prominent for its strong pro-inflammatory properties, interleukin-6 (IL-6) is an important immunological regulator. Even though IL-6 is known to promote inflammation, in certain situations it can exhibit surprising ...
Enhancing the Prediction of IL-4 Inducing Peptides Using Stacking Ensemble Models

Hasan, Md. Tawfiqul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-03)

Interleukin-4 (IL-4), known for its powerful anti-inflammatory properties, plays a crucial role in immunological control. Although IL-4 is widely recognized for its ability to reduce inflammation, it can exhibit unexpected ...
Leveraging Nlp For Multi-Class Emotion Detection In Social Media Text

Zim, Abdur Rafi MD. Sakib (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-02)

The study illustrates how natural language processing (NLP) might prioritize improved privacy, especially when it comes to text-based evaluations of social media sentiments. The proposed concept suggests leveraging Language ...
A Hybrid Ensemble Model for Predicting TNF-α Inducing Peptides

Billah, Md. Towfiq (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-07)

Renowned for its critical function in inflammation, tumor necrosis factor-alpha (TNFalpha) is an important modulator of the immune system. TNF-alpha has a wellestablished role in causing inflammation, yet in certain ...
Machine Learning Models To Predict The Response To Different Kidney Disease Treatments

Shimul, Kawsar Hossain (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-09-08)

“If kidney disease is not identified and treated promptly, it might eventually result in kidney failure. Chronic kidney disease (CKD) is a degenerative illness marked by a progressive decrease of kidney function. Improving ...

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