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Browsing Thesis by Issue Date

Browsing Thesis by Issue Date

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  • An Efficient Model for a Secured LSB Based Image Steganography in YCBCR Color Space 
    Ahmed, MD. Shaleh (Daffodil International University, 23-03-18)
    Data is currently one of the most important means, and it must deal appropriately with the looming threat of cybersecurity. Furthermore, when data is transmitted from one place to another by the internet, there is a ...
  • Concealing Existence of Secret Message Through a Novel and Secure Image Steganography Algorithm Appertaining to Arithmetic Subtraction. 
    Chandra, Jyoti (Daffodil International University, 23-03-18)
    Currently, information represents one of the most crucial instruments, and it must properly address the rising information security threat. Additionally, when data is delivered, it is tracked and modified remotely through ...
  • Study on Fabric Inspection Submitted 
    Hasan, Jahid (Daffodil International University, 23-03-18)
    In this study, I have tried to identify the knitting fault during the inspection. First, a detailed introduction is given about the knitting industry in Bangladesh in the literature review of what other people think or ...
  • A Novel Audio Steganographic Algorithm LSB Based Subtraction Operation Used in Sattolo's and Crypto-Algorithm 
    Muntasir, Mohammad Fahim (Daffodil International University, 23-03-18)
    With the widespread use of digital communication operated by the need for ever-increasing interconnectedness and global events, the necessity for greater privacy and security during online information sharing is evident, ...
  • An Online Web Solution for Real Estate Management 
    Siddiquee, MD. Abu Bakar (Daffodil International University, 23-03-29)
    Having a website and an online presence may be advantageous for any small company. This applies to real estate assiduity just as much. Real estate agents gain from having a website by building brand awareness, generating ...
  • Breast Cancer Prediction Using Supervised Machine Learning Approach 
    Billah, Md Mustain (Daffodil International University, 23-03-29)
    Breast cancer is one of the most prevalent forms of cancer in women worldwide, making early prediction critical to reducing mortality rates. In this study, we propose a machine learning-based approach to predict benign ...
  • A Secured Stenographic Technique in Spatial Domain for Uncompressed Video 
    Rahman, MD. Mushfiqur (Daffodil International University, 23-04-01)
    In commercial, procedural, and legal procedures for the sensitive information, the best secrecy necessity must be emphasized. One remedy for this problem is cryptography, however if it is broken, there is no longer any ...
  • Design & Development of an E-commerce Platform for Selling Garments Machine Accessories 
    Molla, Md. Nuruzzaman (Daffodil International University, 23-07-13)
    This project provides garments related services. For the growing demand of garments sector, in this system can provide the fast service and best price for the customer. The project is developed using MERN Stack, so the ...
  • Parking Slot Detection and Maintenance Using Deep Learning 
    Saha, Pranto (Daffodil International University, 23-07-25)
    Traffic is a major issue in Bangladesh, particularly in urban regions like Dhaka. The main issue with traffic in Bangladesh is parking by the wayside. Private transportation users spend the majority of their waking hours ...
  • Using Convolutional Neural Network for Fruit Disease Detection in Machine Learning Approach 
    Hossain, Md.Imran (Daffodil International University, 23-07-25)
    Crop cultivation occupies a key place in the agricultural industry and is essential to supplying the world's food needs. The negative effects of diseased crops, which result in decreased production rates and resultant food ...
  • Object Detection on Road Using Deep Learning Approach 
    Hasan, Zahid (Daffodil International University, 23-07-25)
    For a developing nation like Bangladesh, traffic jams are a major problem. Systems for maintaining traffic manually are expensive and time-consuming. Making a system that can automatically identify traffic flow is therefore ...
  • Classification of Brain Tumor from MRI Images 
    Islam, Jahanara (Daffodil International University, 23-07-25)
    Brain tumors are a significant pathological condition within the field of medicine that poses challenges in terms of accurate diagnosis. In recent times, the utilization of deep learning techniques has been employed to ...
  • Football Player Detection and Tactical Analysis with Deep Learning 
    Hossain, Mohammad Zim (Daffodil International University, 23-07-25)
    In the realm of football, the ability to analyze and understand player movements and tactics is crucial for coaches and teams. Bangladesh's traditional football analysis approach is based on human observation by coaches ...
  • Intention To Purchase 
    Hosain, Sakawat (Daffodil International University, 23-07-25)
    Playing games online has been an especially common pastime worldwide during the previous ten years. Worldwide demand for online games continues to be developing. Now in Bangladesh, the number of gamers is increasing day ...
  • Smart Farming 
    Chowdhury, Ankon (Daffodil International University, 23-07-25)
    Plant leaf diseases have recently become a major worry for farmers. This is a danger to both farmers and the country, which depends on agriculture. In this aspect, conventional identification techniques may not be very ...
  • MRI Based Brain Tumor Classification Using Convolutional Neural Network 
    Tona, Mou Afroz (Daffodil International University, 23-07-30)
    Purpose: It's a crucial and difficult task to define a brain tumor in the process of medical imaging. If the brain tumor can be classified, it might be quite important in improving the patient's likelihood of survival while ...
  • An Analysis of Parkinson Disease Prediction Using Machine Learning Approaches 
    Biplab, Ekramul Kabir; Trishna, Surovi Akter (Daffodil International University, 2019-05-11)
    Objective: The main goal of the study isto inspect the performance of three Supervised algorithms for improving the Parkinson disease diagnosis by detection. Methods: We used three machine learning techniques for the ...
  • Automated Border Control System using Blockchain Technology 
    Prome, Shanjita Akter (Daffodil International University, 2019-12)
    Currently, in this digital world, the passport is still a physical entity. Each passport contains various security and identity attributes to figure out the owner of the passport and also circumvent attempts at tampering ...
  • Helping Hand Auctions 
    Akhi, Naznin Naher (Daffodil International University, 2019-12)
    The buying and selling of products and services by businesses and consumers through an electronic medium, without using any paper documents. Consumers looking to purchase products visit the site and search for the available ...
  • Business Development by Using Prediction Model 
    Rahman, Md. Mifat (Daffodil International University, 2019-12)
    In this research, we investigated business development by using the performance of regression algorithms namely Simple Linear Regression, Multiple Linear Regression and Polynomial Regression for predicting the number of ...

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