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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

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  • LMS- a Web Based Platform for Teacher and Student Communication 
    Mahmud, Md. Hasan (Daffodil International University, 2021-09-09)
    This report presents the design and embodiment of a communicative web platform for teachers and students. It can be classified as a web-based educational platform for teaching and learning. It uses a very efficient way, ...
  • Loan Disbursement Management of Dhaka Bank Limited 
    Khalil, Ebrahim (Daffodil International University, 2021-04)
    Executive Summary This report is prepared as a requirement of the internship phase of the BBA Daffodil International University program. This report focuses on three months of professional experience at Dhaka Bank Limited, ...
  • Loan Management System 
    Shilu, Shuly Akter (Daffodil International University, 22-08-21)
    “Loan Management System” is an online management system of loan which is a tool that assists lending businesses in managing their borrowers, loans, repayments, and collections in an efficient and affordable fashion, while ...
  • Loan Prediction Analysis using Machine Learning Techniques 
    Shawn, Abul Hasan (Daffodil International University, 23-01-18)
    Loans account for a large portion of bank profits. Despite the fact that many people are looking for loans. Finding a legitimate applicant who will return the loan is difficult. Choosing a real applicant may be difficult ...
  • Local Fish Recognition 
    Alam, Jahangir; Shuva, Subrota Das; Saha, Prianka (Daffodil International University, 2019-09-12)
    Our local fish are becoming extinct day by day. Known for the extinction of local fish in Bangladesh and the people of our country, we will detect local fish.in this paper a methodology has been detect to local fish. ...
  • Local Fruit Classification and Recognition Using CNN 
    Dey, Udoy Chandra; Pal, Rajesh Kumar; Turza, Toufiq Hasan (Daffodil International University, 2021-06-03)
    Automatic fruits classification is becoming more popular day by day. Many of us have very few idea about local fruits so we can attest to them even if we don’t know about the local fruits. In our thesis, we will describes ...
  • Local Fruits Recognition Using Convolutional Neural Network 
    Sagor, M S Joha; Dewan, Muhiuddin (Daffodil International University, 2020-09-18)
    Recent advancement of computer vision has made object detection from images much easier, however, automatically classifying fruits using computer vision still remains a challenging task due to similarities between different ...
  • 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 ...
  • 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 ...
  • Local Vegetable Detection: A Computer Vision Approach 
    Deb, Rahul; Mojumder, Atanu; Puja, Priyanka Saha; Debnath, Sarnali (Daffodil International University, 2019-05-02)
    In this thesis work it describes about a unique system that can detect local vegetable using computer vision approach. To enhance the identification process and promote the usability of the graphical user interface compared ...
  • Local Vegetable Detection: A Computer Vision Approach 
    Deb, Rahul; Mojumder, Atanu; Puja, Priyanka Saha; Debnath, Sarnali (Daffodil International University, 2019-05)
    In this thesis work it describes about a unique system that can detect local vegetable using computer vision approach. To enhance the identification process and promote the usability of the graphical user interface ...
  • Local Vegetable Detection: A Computer Vision Approach 
    Deb, Rahul; Mojumder, Atanu; Puja, Priyanka Saha; Debnath, Sarnali (Daffodil International University, 2019-05-20)
    In this thesis work it describes about a unique system that can detect local vegetable using computer vision approach. To enhance the identification process and promote the usability of the graphical user interface ...
  • Location alarm 
    Sarker, Md. Siyam; Shakil, Hasibul Karim; Mondal, Koushik Kumar (Daffodil International University, 2018-05)
    Now a days we live in an era of technology, smart phone become a part of our daily life. It is no longer a communication device only but also an essential part of our working life. Android is being popular day by day ...
  • Location and Situation Based Healthcare Recommendation System 
    Nahidujjaman, Nahidujjaman; Nine, Gm. Zulkar; Islam, Syed Muhayminul (Daffodil International University, 2021-05-31)
    In this twenty-first century, the health problem is still significant in developing countries such as Bangladesh. Many people die every year due to unfair treatment as well as missguessing their disease. Many lives can ...
  • Long Short-Term Memory Deliberation for Bengali Document Classification 
    Chowdhury, Rafid Imtiaz; Naeem, Md. Jannatul; Anik, Provaker Sarker (Daffodil International University, 23-01-29)
    One of the most well-liked applications of natural language processing is text classification. Bengali is becoming more and more popular in this subject, much as many other languages, and the most well-known effort here ...
  • Low Cost IoT Based Green Home 
    Rezvee, Tariqul Islam; Mohona, Kazi Tasnim Binta Mustafa; Das, Hridoy Kumar; Shama, Sharmin Jahan (Daffodil International University, 2020-10-26)
    Our idea is to make a green home containing IoT advantages, at a low cost comparatively. This the project represents the design, model, structure, program, management, and evaluation of our idea. We are working on the ...
  • Lung and Colon Cancer Classification Using Medical Imaging Through Transfer Learning 
    Fahim, Kayes Uddin; Mondol, Chaity (Daffodil International University, 23-02-12)
    Carcinomas of the lung and colon are among the most common sources of invasive cancer and are the two most common causes of cancer deaths in worldwide. Detecting and treating cancer at an initial stage can diminish death ...
  • Lung Disease Classification Using Deep Learning Models Based on Chest X-Ray Images 
    Akter, Runa (Daffodil International University, 23-01-18)
    In the very recent past, Infectious disease-related sickness has long posed a concern on a global scale. Each year, COVID-19, pneumonia, and tuberculosis (TB) cause millions of deaths because they all affect the lungs. ...
  • Lung Disease Detection Employing LungNet-7- a Fine-Tune CNN Model 
    Arafat, Easin; Chayan, Asif Ahmed (Daffodil International University, 23-02-18)
    In current times, there has been a multifold growth in the prevalence of lung illness, which is responsible for millions of deaths yearly. It is now absolutely necessary to have a method of diagnosing lung illness that is ...
  • Lychee Tree Disease Classification and Prediction Using Deep Learning 
    Akter, Sima; Ali, Md. Almas (Daffodil International University, 22-08-14)
    Bangladesh is a predominantly agricultural nation. The majority of people depend on agriculture. But it is a sad fact that the quality and quantity of our fruits are declining due to numerous diseases. People in our ...

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