• 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 ...
• Deep Learning for Detection of Mango Leaf Disease: A Comparative Study Using Convolutional Neural Networks Models 

  Rabbi, Munshi Omar Faruque (Daffodil International University, 2024-01-29)

  The diagnosis of diseases in mango leaves presents a complex challenge, compounded by the diversity of crop types, variability in agricultural disease indicators, and a multitude of environmental factors. Early detection ...
• Study On Adoption M Payments System Using Smartpls 

  AZAD, A.S.M. SHAHORIA (Daffodil International University, 2024-01-29)

  Globally, mobile payment is becoming more and more popular as a substitute for cash, checks, and credit cards, both for individuals and businesses. The main goals of this research are to identify the key variables affecting ...
• “Pneumonia Detection With Transfer Learning: A Deep Cnn- Based Comparison Of Detection And Segmentation 

  Porag, Al Mohidur Rahman (Daffodil International University, 2024-01-29)

  In pneumonia, the lung tissue undergoes swelling, a condition caused by viral or bacterial infections. This swelling, accompanied by increased lung moisture, results in difficulty in deep breathing. Recognizing these ...
• Dengue Fever Prediction Using Machine Learning Approaches 

  Suchita, Ishrat (Daffodil International University, 2024-01-29)

  Dengue fever, also a viral infection spread by mosquitoes, is still a major global health concern, impacting millions of people each year. By applying a carefully controlled dataset of 521 entries and 23 variables, this ...
• Dengue Fever Prediction Using Machine Learning Approaches 

  Suchita, Ishrat (Daffodil International University, 2024-01-29)

  Dengue fever, also a viral infection spread by mosquitoes, is still a major global health concern, impacting millions of people each year. By applying a carefully controlled dataset of 521 entries and 23 variables, this ...

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