Thesis: Recent submissions

  • E-waste classification and recycle using deep learning 
    Rahman, Arafatur (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-15)
    The ability to efficiently recycle the electronic waste found in trash can increase the usefulness of e-waste management systems. Separating e-waste from other wastes in the rubbish is crucial for recycling. Our objective ...
  • A Conceptual Framework for Enhancing ATM Security through Integrated Multilayer Biometric Authentication 
    Ronok, Koushik Vadury (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-24)
    In recent years, the security of Automated Teller Machines (ATMs) has been a critical concern due to increasing fraud and unauthorized access incidents. This research paper presents a novel multi-layered security framework ...
  • Enhanced Rice Leaf Disease Detection Using Densenet201: A Deep Learning Approach 
    Prosad, Bishal (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-08-25)
    Accurate and prompt detection of rice leaf diseases is vital for ensuring healthy crop yields and preventing major agricultural losses. This study proposes an advanced method for diagnosing rice leaf diseases using the ...
  • Development of An Automated Car Parking System Using IR Sensor & ESP32 
    Maman, Md. Samin Rahman (Daffodil International University, 2024-07-01)
    Imagine escaping the circling vultures of a crowded parking lot. No more endless loops, mounting frustration, or wasted time. Our Automated Car Parking System utilizes the magic of IR sensors, a Wi-Fi-powered ESP32 brain, ...
  • Development of an automated car parking system using IR sensors and ESP32 
    Maman, Md.Samin Rahman (Daffodil International University, 2024-12-01)
    Imagine escaping the circling vultures of a crowded parking lot. No more endless loops, mounting frustration, or wasted time. Our Automated Car Parking System utilizes the magic of IR sensors, a Wi-Fi-powered ESP32 brain, ...
  • A deep learning approach for classification of liver disease 
    Kalam, Faria Binta (Daffodil International University, 2024-01-24)
    Liver diseases pose a significant global health burden, with diverse manifestations such as ballooning, fibrosis, inflammation, and steatosis. Accurate and timely diagnosis is crucial for effective treatment planning and ...
  • Brain tumor detection from MRI medical images based on machine learning algorithms 
    Omy, Jannatul Faria (Daffodil International University, 2024-01-21)
    This study aims to develop an efficient and accurate system for the early detection of brain tumors using machine learning algorithms applied to magnetic resonance imaging (MRI) medical images. Brain tumor occurs because ...
  • Bone fractures classification using deep learning approaches 
    Uddin, Rahat (Daffodil International University, 2024-01-21)
    Fracture detection in medical imaging is a well-established paradigm. These days, a lot of doctors and other medical professionals utilize computer-aided diagnostic systems (CAD) to assist them diagnose a variety of ...
  • A deep learning approach for classification of liver disease 
    Kalam, Binte Faria (Daffodil International University, 2024-01-25)
    Liver diseases pose a significant global health burden, with diverse manifestations such as ballooning, fibrosis, inflammation, and steatosis. Accurate and timely diagnosis is crucial for effective treatment planning and ...
  • Breast tumor detection using deep learning 
    Atikuzzaman, Md. (Daffodil International University, 2024-01-22)
    Finding tumor areas on breast ultrasonography pictures has long been a fascinating subject. The complex architecture of breast and the presence of noise in ultrasound images sometimes make it impossible for traditional ...
  • Blockchain Security Assessment : A Review Base Assessment 
    Haque, Md. Asraful (Daffodil International University, 2024-01-01)
    Blockchain technology, distinguished by its decentralized and irreversible design, has gained rapid adoption across sectors, offering heightened security and transparency. Despite its promises, the rising usage of ...
  • Depression prediction among student based on their daily activities 
    Pranty, Miskatun Ahmed (Daffodil International University, 2024-01-01)
    Depression affects most people in modern life. Inadequate treatment even leads to many people taking their own lives. Early detection and treatment of depression in patients are very easy to achieve. We are unable to ...
  • Enhancing guava harvest forecasting in Bangladesh through supervised machine learning models 
    Munia, Sahela Khan (Daffodil International University, 2024-01-01)
    Accurate forecasting of guava harvest is essential for efficient resource allocation, market planning, and mitigating post-harvest losses. In Bangladesh, the guava industry faces challenges in predicting harvest yields ...
  • Classification of Bone Fractures Using X-Ray Images with The Help of Deep Learning. 
    Rahman, Mizanur (Daffodil International University, 2024-01-24)
    An established paradigm in the field of imaging in medical is fracture detection. These days, computer-aided diagnostic-(CAD) systems are widely used because they help physicians and other medical experts diagnose various ...
  • Brain tumor detection from MRI medical images based on machine learning algorithms 
    Omy, Jannatul Faria (Daffodil International University, 2023-12-21)
    This study aims to develop an efficient and accurate system for the early detection of brain tumors using machine learning algorithms applied to magnetic resonance imaging (MRI) medical images. Brain tumor occurs because ...
  • Gourd Vegetable Detection by Deep Learning Approach 
    Akter, Kana (Daffodil International University, 2024-01-29)
    The local market in Bangladesh offers a diverse range of around 100 varieties of vegetables for purchase and sale. The nomenclature of vegetables exhibits regional variations, leading to difficulties in identification ...
  • Paddy Yield Estimation By Deep Learning Approach 
    Islam, Ashraful (Daffodil International University, 2024-01-29)
    Three crucial crops in Bangladesh are farmed concurrently based on the country's climate and seasons. The individuals mentioned are Aush, Aman, and Boro. Various sorts of damage occur in Bangladesh at different times as ...
  • Local Spinach Variant And Freshness Detection Using Deep Learning Techniques 
    Hasan, Md.Nahid (Daffodil International University, 2024-01-29)
    The study addresses the use of deep learning to automate the recognition of local variations of spinach and the evaluation of their freshness, addressing key challenges facing the agriculture industry. The study carefully ...
  • Vromon – Web Based Travel Management System (Tms) 
    Sarker, Arnob (Daffodil International University, 2024-01-29)
    The sophisticated and user-friendly Web-based travel management system (TMS) "Vromon" was created with three main stakeholders in mind: system administrators, organizers, and customers—all of whom want to travel more ...
  • Using Deep Learning To Predict Paper Categories Based On Abstracts 
    Nahid, Syed Ahsanul Huque (Daffodil International University, 2024-01-29)
    Academic paper categorization is a criticalstep in the field of information retrieval and information processing. This paper “USING DEEP LEARNING TO PREDICT PAPER CATEGORIES BASED ON ABSTRACTS” proposes a novel approach ...

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