Department of Computer Science and Engineering: Recent submissions

Now showing items 101-120 of 4613

Flower Classification Using Deep Learning by using an Web-based API for Accurate and User-Friendly Identification

Mahiya, Mafruha Mamun (Daffodil International University, 2025-01-13)

It is important to classify flowers because it forms a major part of botanical studies, agriculture and study of the environment among others. The idea to be developed in this project can be referred to as Flower ...
Disease Prediction: The Role of Explainable Machine Learning for Lungs Cancer

Hossain, Md. Shakhawat (Daffodil International University, 2025-01-13)

Lung cancer remains the leading cause of cancer-related deaths worldwide, highlighting the urgent need for improved diagnostic and prognostic tools. The identification and prognosis of lung cancer may be improved by ...
A Smart Food Delivery System

Chowdhury, Md Zishan Kabir (Daffodil International University, 2025-01-13)

This project report describes how to use the MERN stack (MongoDB, Express, React, and Node.js) to create and implement a food delivery application. Creating an intuitive and effective platform was the aim of this project ...
Intelligent Traffic Flow Prediction Using Deep Learning Techniques

Shahriar, Rakib (Daffodil International University, 2025-01-13)

The rapid growth of urban populations and increasing traffic congestion have prompted the need for efficient traffic management systems. Accurate traffic flow forecasting is crucial for optimizing transportation ...
মৎস্যজীবী -Android Apps

Meon, Md. Emamul Huk (Daffodil International University, 2025-01-13)

Bangladesh is a riverine country. Different types of fish are available in different rivers. With the evolution of time, people have started farming in ponds and fish from the river but most of the fishermen suffer due ...
Efficient YOLO-Based Deep Learning Model for Real-Time Potato Disease Detection

Tasin, Md. Jubayer Islam (Daffodil International University, 2025-01-13)

Crop diseases pose a significant threat to global food security, requiring efficient and accurate detection methods to support sustainable agriculture. This study focuses on evaluating YOLO-based deep learning models for ...
Detecting and Analysis of Polar Orbiting Satellite Signal Using Low Cost Hardware Configuration With Software Defined Radio.

Shakib, Md. Shayed Hasan (Daffodil International University, 2025-01-13)

This project-based research focuses on detecting and analyzing signals from polar-orbiting weather satellites using software-defined radio (SDR) technology. Polar-orbiting weather satellites, such as transmit weather-related ...
Early Detection of Chronic Kidney Disease (CKD) using Optimized Machine Learning Models

Shohan, Md. Shahoriar Rahaman (Daffodil International University, 2025-01-13)

Chronic kidney disease is sometimes abbreviated to "CKD." The term"CKD" generally refers to this ailment. The kidneys are affected by this disorder, whichis also known as chronic renal disease. The immense progress made ...
Detection of Monkey – Pox Disease Using State of art Deep Learning Tecniques

Hossen, Md. Hamim (Daffodil International University, 2025-01-13)

The viral infection known as Monkey-pox has recently shown a significant increase in its spread. Diagnosing the disease poses a challenge for experts due to its resemblance to other illnesses, particularly those related ...
Rent Vista: Revolutionizing Hotel Management with a Seamless Web-Based Solution

Hasan, Khalid (Daffodil International University, 2025-01-13)

I have built a website named RENT VISTA: Revolutionizing Hotel Management with a Seamless Web-Based Solution using HTML, CSS, React, and MongoDB. The platform provides a seamless experience for users and admins to manage ...
Mushroom Classification Using Deep Learning

Goni, Md.Osman (Daffodil International University, 2025-01-13)

This project focuses on developing a deep learning-based system for the classification of mushrooms into six categories: Blue Oyster, Oyster, Phoenix Oyster, Pink Oyster, Poisonous, and Agaricus. A dataset of 2,134 images ...
Edge Implementation of Lightweight YOLO Models for Real-Time Mango Leaf Disease Detection on RISC-V Powered Device

Pashi, Kishon Kumar (Daffodil International University, 2025-01-13)

An important part of Bangladesh’s income is agriculture, and the mango is both a cultural and an economic symbol. Rajshahi and Chapai Nawabganj, which are known as the “mango hubs of Bangladesh,” help make the country ...
Retina Disease Classification using Deep Learning

Hossain, Md. Asif (Daffodil International University, 2025-01-13)

The most common causes of vision impairment worldwide include retinal conditions like Drusen, Diabetic Macular Oedema, and Choroidal Neovascularization (CNV). Early detection and treatment are essential to preventing ...
The Impact of AI and ChatGPT on Bangladeshi University Students: A Machine Learning Approach

Islam, Md Jhirul (Daffodil International University, 2025-01-13)

Artificial intelligence has completely digitalized modern education. Numerous cutting-edge AI tools, including ChatGPT and generative AI, are having an impact on our schooling. This study presents a scenario of how Chat ...
Exploring Multi-View Graph Neural Network (MV-GNN) for Graph Coloring

Sahidul, Musfiqur Rahman; Islam, Md. Minhajul (Daffodil International University, 2025-01-13)

The Graph Coloring Problem (GCP), which involves determining the chromatic number or the minimum number of colors needed to color neighboring nodes in a graph, is a critical computational challenge with applications in ...
Hybrid Deep Learning Approach for Sweet Orange Leaf Disease Detection Using CNN and Vision Transformers

Islam, Nahidul (Daffodil International University, 2025-01-13)

Sweet orange leaf diseases significantly threaten agriculture, necessitating accurate and timely detection for sustainable farming. This study presents a hybrid deep learning approach combining Vision Transformers (ViT) ...
CNN- Based Disease Detection For Cauliflower

Ahmed, Fariha (Daffodil International University, 2025-01-13)

Convolutional Neural Networks (CNN) have received a lot of attention for disease identification in agricultural crops like cauliflower because of its capacity to evaluate visual patterns in images automatically and ...
Solution Architecture Infrastructure Security Internship

Rifat, Akib Istiak (Daffodil International University, 2025-01-13)

During my internship at GO INNVOIR LTD, I was an intern focusing on security for infrastructure solutions. My main job was to keep the organization's computer security systems running and manage them. I worked hard to ...
Hybrid Deep Learning Approach for Sweet Orange Leaf Disease Detection Using CNN and Vision Transformers

Islam, Nahidul (Daffodil International University, 2025-01-13)

Sweet orange leaf diseases significantly threaten agriculture, necessitating accurate and timely detection for sustainable farming. This study presents a hybrid deep learning approach combining Vision Transformers (ViT) ...
CNN- Based Disease Detection For Cauliflower

Ahmed, Fariha (Daffodil International University, 2025-01-13)

Convolutional Neural Networks (CNN) have received a lot of attention for disease identification in agricultural crops like cauliflower because of its capacity to evaluate visual patterns in images automatically and ...

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Department of Computer Science and Engineering: Recent submissions

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