DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING: Recent submissions

  • 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 ...
  • A Proposed Deep Learning Approach For Detecting Rice Leaf Disease 
    Bhuyan, Md Raju (Daffodil International University, 2024-01-29)
    Rice leaf diseases are a type of plant diseases affecting the leaves of rice crops, causing various kinds of crop damage. These diseases may have major financial effects, hurting both rice quality and production. Using ...
  • 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 ...
  • Facial Expression Recognition of Pets Using Deep Learning 
    Rafi, Muntasir Ahmed (Daffodil International University, 2024-01-29)
    Understanding the emotional states of pets is a significant aspect of their well-being and effective communication between humans and animals. This research investigates the development of a deep learning-based system ...
  • “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 ...
  • Career Portal: A Career Development Web Based Platform” 
    Ahmed, Tofayel (Daffodil International University, 2024-01-29)
    The "Career Portal: A Career Development Web Based Platform" project is a comprehensive online platform designed to facilitate and enhance career development and professional growth for individuals across various domains. ...
  • Automated Detection Leukemia Subtype Classification from Microscopic Images: A Convolutional Neural Network Approach 
    Lubna, Sheikh Bodrun Nesa (Daffodil International University, 2024-01-25)
    Leukemia is a difficult type of blood cancer which can present in a combination of multiple types, that had individual cellular and genetic abnormalities. The prevalent forms of leukemia include Acute lymphocytic leukemia ...
  • RentHub-An Android Based House Rent Project 
    Farouk, Omar Sakib Ibna (Daffodil International University, 2024-01-29)
    The creation of our application, "RentHub," is a response to the markets of the current era, where time is a precious commodity. Intending to be a valuable asset in today's society, RentHub caters to individuals who lack ...
  • 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 ...
  • Bulkpulses - Ecommerce Website For Pulses Wholesale 
    Nag, Shovon Kumar (Daffodil International University, 2024-02-04)
    The goal of this project is to create an internet store that specializes in selling pulses. The website attempts to give users an easy-to-use and simple way to browse, choose, and buy a large range of pulses from the ...
  • Machine Learning and Deep Learning Approaches to Predict Early Stage of Diabetes 
    Baidya, Sonnet (Daffodil International University, 2024-01-29)
    This study offers a thorough methodology that makes use of a variety of deep learning and machine learning algorithms to predict early stage of diabetes. Recurrent neural networks (RNN), Feedforward Neural Networks (FNN), ...
  • Local Pothole detection using deep learning techniques 
    Tanvir., Md. Rakib (Daffodil International University, 2024-01-29)
    Potholes are surface irregularities on roads that are deeper than 20 mm and extend more than 75 mm horizontally. They can be caused by a number of circumstances, including poor construction, water buildup during the rainy ...
  • Utilizing Novel Convolutional Neural Networks for The Detection of Brain Tumors in MRI Images 
    Ahmed, Md. Tanvir (Daffodil International University, 2024-02-04)
    Embarking on a critical exploration of brain tumor detection, our research delves into the intricacies of this field, acknowledging the vital need for precise diagnostics. Employing custom Convolutional Neural Network ...
  • A Comparative Study Of Lung Cancer Detection Using Deep Transfer Learning With Keras Tuner 
    Datta, Sajeeb (Daffodil International University, 2024-02-04)
    Lung cancer is a type of cancer that begins in the cells of the lungs. It is one of the most common forms of cancer worldwide and is a leading cause of cancer-related deaths. Lung cancer usually develops in the cells ...

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