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  • Auto Parts BD 
    Rahman, Saikat; Saha, Biprojit; Khan, Md. Islam (Daffodil International University, 2021-06-01)
    Our project Auto Parts BD is an online eCommerce and service provider application. This application provides both online shopping and services through one application. If we look at the developed countries of the world, ...
  • An Automated Approach for Eggplant Disease Recognition Using Transfer Learning 
    Saad, Izazul Haque; Islam, Md. Mazharul; Himel, Isa Khan; Mia, Md. Jueal (Daffodil International University, 22-10-08)
    In Bangladesh, eggplant is a widely grown crop that is vital to the country’s food security. The vegetable is consumed on a regular basis by the majority of people. Since Bangladesh’s economy is heavily reliant on agriculture, ...
  • Automated Attendance System Based on Facial Recognition 
    Yasmin, Barira; Ahmed, Tanvir; Rabbi, Fazle (Daffodil International University, 2020-06-07)
    “AUTOMATED ATTENDANCE SYSTEM BASED ON FACIAL RECOGNITION”, is a Machine Learning project. This project basically without human assistance system that helps take attendance by recognizing trained students' real-time frontal ...
  • Automated Attendance System Using Deep Learning 
    Al-Mahmud, Zubayer (Daffodil International University, 2021-06-03)
    In this modern age Attendance System becomes automated thanks to time saving, efficient and useful method decreasing administration’s and organization’s strain. Attendance system is important to classroom evaluation, ...
  • Automated Attendance System Using Deep Learning 
    Hasan, Hafiz Mahdi; Khan, Md. Al-Amin (Daffodil International University, 2020-06)
    In this modern age Attendance System becomes automated thanks to time saving, efficient and useful method decreasing administration’s and organization’s strain. Attendance system is important to classroom evaluation, ...
  • Automated Attendance System Using Deep Learning 
    Khan, Md. Al-Amin; Mahdi Hasan, Hafiz (Daffodil International University, 2020-06-08)
    In this modern age Attendance System becomes automated thanks to time saving, efficient and useful method decreasing administration’s and organization’s strain. Attendance system is important to classroom evaluation, ...
  • Automated Attendance System Using Face Recognition with One-Shot Learning and Siamese Neural Networks 
    Shaik, Md. Abu; Islam, Ashikul (Daffodil International University, 2019-05-03)
    A face is the identity of a person. Not only human but also machines can now identify a person. Face recognition system is a Biometric Artificial Intelligence application. Now it is widely used everywhere in the world. It ...
  • Automated Attendance System Using Face Recognition with One-Shot Learning and Siamese Neural Networks 
    Shaik, Md. Abu; Islam, Ashikul (Daffodil International University, 2019-05)
    A face is the identity of a person. Not only human but also machines can now identify a person. Face recognition system is a Bio metric Artificial Intelligence application. Now it is widely used everywhere in the world. ...
  • 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 ...
  • Automated Brain Disease Classification using Transfer Learning based Deep Learning Models 
    Alam, Farhana; Tisha, Farhana Chowdhury; Rahman, Sara Anisa; Sultana, Samia; Chowdhury, Md. Ahied Mahi; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Daffodil International University, 2022-10-05)
    Brain MRI (Magnetic Resonance Imaging) classification is one of the most significant areas of medical imaging. Among different types of procedures, MRI is the most trusted one to detect brain diseases. Manual and semi-automated ...
  • Automated Breast Tumor Ultrasound Image Segmentation With Hybrid UNet and Classification Using Fine-Tuned CNN Model 
    Hossain, Shahed; Azam, Sami; Montaha, Sidratul; Karim, Asif; Chowa, Sadia Sultana; Mondol, Chaity; Hasan, Md Zahid; Jonkman, Mirjam (Elsevier, 2023-10-20)
    Introduction Breast cancer stands as the second most deadly form of cancer among women worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose The study aims to classify breast ...
  • Automated Child Daycare Monitoring System-A Deep Learning Method To Detect Unsafe Behaviour Upon Children 
    Al-Karim, Ratib (Daffodil International University, 22-12-15)
    Abuse in daycare centers is a very serious problem in modern parenting. Our lives are becoming busier every day as we place a greater emphasis on our professional lives. Since most parents choose to send their kids to ...
  • Automated Classroom Humidity Control System 
    Yasir, Abdullah Al Mahmood; Sharif, Mohammed Fahim Hasan; Ahmed, Nasur (©Daffodil International University, 2020-12-19)
    This is 21st century, which basically called the era of science and technology on the other hand this is also the time of globalization and digitalization. With the advancement of new technology we gather new experience ...
  • An Automated CNN Model Based Approach for Apple Leaf Disease Detection 
    Nazneen, Nafisa; Tahera, Khadija Tut (Daffodil International University, 23-02-08)
    This study presents a deep learning approach for the detection of diseases in apple leaves. The method utilizes convolutional neural networks (CNNs) to classify apple leaf images into diseased and healthy categories. The ...
  • An Automated Convolutional Neural Network Based Approach for Paddy Leaf Disease Detection 
    Islam, Md. Ashiqul; Shuvo, Md. Nymur Rahman; Shamsojjaman, Muhammad; Hasan, Shazid; Hossain, Md. Shahadat; Khatun, Tania (International Journal of Advanced Computer Science and Applications(IJACSA), 2021)
    Bangladesh and India are significant paddy-cultivation countries in the globe. Paddy is the key producing crop in Bangladesh. In the last 11 years, the part of agriculture in Bangladesh's Gross Domestic Product (GDP) was ...
  • An Automated Convolutional Neural Network Based Approach for Paddy Leaf Disease Detection 
    Islam, Md. Ashiqul; Shuvo, Md. Nymur Rahman; Shamsojjaman, Muhammad; Hasan, Shazid; Hossain, Md. Shahadat; Khatun, Tania (Scopus, 2021)
    Abstract: Bangladesh and India are significant paddy-cultivation countries in the globe. Paddy is the key producing crop in Bangladesh. In the last 11 years, the part of agriculture in Bangladesh's Gross Domestic Product ...
  • An Automated CV Sorting System 
    Mahin, Md.Saieedul Hasan; Emon, Md.Naimur Raihan; Md. Shihab, Abu Sazid (Daffodil International University, 2019-12)
    Our project is developing an important data retrieval framework. Here you can make a list of the most useful information by integrating various information into a single structure and formatting. We have done this in ...
  • 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 ...
  • Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches To Classify Lung Diseases 
    Azam, Sami; Rafid, A.K.M. Rakibul Haque; Montaha, Sidratul; Karim, Asif; Jonkman, Mirjam; Boer, Friso De (MDPI Publications, 2023-01-05)
    Current research indicates that for the identification of lung disorders, comprising pneumonia and COVID-19, structural distortions of bronchi and arteries (BA) should be taken into account. CT scans are an effective ...
  • An Automated Detection System of Cross Site Request Forgery (CSRF) Vulnerability in Web Applications 
    Ismail, Md. Afzal (Daffodil International University, 2020-12)
    In the modern era of technology, the usage of web applications has become enormous. Web applications are now dealing with much more sensitive data. As web applications dealing with sensitive data, they are encountering ...

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