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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Title

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  • Icche School 
    Abedin, Md. Joynal; Dewan, Warda (Daffodil International University, 2022-01-04)
    This is a web-based homeschooling application named “ICCHE SCHOOL”. It is a platform made not only for the students but also for their parents and teachers. This will help students, parents and teachers to experience a ...
  • Icche School 
    Abedin, Md. Joynal; Dewan, Warda (Daffodil International University, 2022-01-04)
    This is a web-based homeschooling application named “ICCHE SCHOOL”. It is a platform made not only for the students but also for their parents and teachers. This will help students, parents and teachers to experience a ...
  • ICT for student: A web-based solution for learning ICT 
    Rahaman, Samia; Saha, Avi; Akther, Mst. Ruli (Daffodil International University, 2018)
    The Goal of this project is developing an online ICT Learning System. This project is to build a web-based, online ICT Learning system, named ICT FOR STUDENT: A web-based solution for ICT Knowledge. This system provides ...
  • Idea Share 
    Islam, Md. Asadul (Daffodil International University, 2022-01-04)
    In a web-based application, the report is called "Idea-share" .It is a web application whose primary goal is to provide high-quality ideas to users and administrators inorder for them to find more useful information. ...
  • Identical Fruits Detection Using Faster R-CNN and Yolo 
    Bhuiyan, MD. Ashrafur Rahman; Shadhin, Afridi Hasan (Daffodil International University, 23-01-29)
    Fruits with the same color, shape, and size are called identical fruits. There are a few tiny distinctions between the two, despite their identical appearance. In an effort to discriminate between identical fruits, a method ...
  • Identification of Artificially Ripened Mangoes Using Digital Image Processing Technique 
    Suvro, Mahamudul Hasan Khan (Daffodil International University, 2019-12)
    In this Report, a proficient technique of image processing has been used to detect artificially ripened mangoes. Mango is one of the significant fruit crops across the world and if we mention Bangladesh, it is the most ...
  • Identification of Breast Cancer from Histopathological Images Using Deep Convolutional Neural Networks 
    Akter, Rima; Neela, Sadia Tanzin (Daffodil International University, 2020-10-01)
    Breast cancer symbolizes the disease of uncontrolled growth of cells of the breast. There are 2 most common kinds of breast cancers we know about, (1) “Invasive lobular carcinoma” and (2) “Invasive ductal carcinoma”. ...
  • Identification of Corona Virus From X-ray Images 
    Arif, Md. Rashid; Hasibul Hasan, Md.; Tanjil, Faridul Islam (Daffodil International University, 2020-12-10)
    In late December 2019, China announced the novel COVID-19 coronavirus. And after that, it spread all around the world, taking the place of a pandemic. In the meantime, there are many testing kits available but it takes ...
  • Identification of COVID-19, Pneumonia, Lung Cancer & TB From Chest X-Ray Images: A Deep Transfer Learning Approach 
    Datta, Gourab; Uddin, MD. Zia (Daffodil International University, 23-01-29)
    to Lung Cancer, Pneumonia, Tuberculosis, and COVID-19, which have a very terrible effect on the body, the patient may die and COVID-19 spreads very easily. It is possible to get rid of these diseases if they are detected ...
  • Identification of Local Flowers Through Image Processing 
    Sarkar, Tanu; Masum, Md. Maruf Khan; Robin, Tanvir Ahamed (Daffodil International University, 2021-06-03)
    Flowers are one of the most beautiful creation of almighty. Bangladesh is the land of flowers. There are lots of flower in our country. There are many different kinds of flower in our country. Every flowers have its own ...
  • Identification of Rice Leaf Diseases Using CNN With Transfer Learning 
    Hossain, MD. Kawsar; Shikder, Shamim; Samit, Mohammad Fattah (Daffodil International University, 23-01-29)
    The damage done by rice leaf diseases is detrimental to our food safety and economic growth. Farmlands are being reduced day by day due to urbanization. Therefore it is highly essential to have the maximum harvest within ...
  • Identification of Spoken Language Using Machine Learning 
    Shahariar, MD. Asif; Aziz, Iftekher; Banik, Shovan (Daffodil International University, 2020-07-19)
    Identification of spoken language is the way to detect the specific language which is spoken by an anonymous speaker. We will also find out several techniques of machine learning for detecting spoken language. Our major ...
  • Identification of Tuberculosis 
    Simul, Tanima Afrin; Tahsin, Anika (Daffodil International University, 2019-12)
    Here we are writing a report on “Identification of Tuberculosis”. So what is tuberculosis? Tuberculosis is a disease caused by bacteria called Mycobacterium tuberculosis and the bacteria usually attack lungs and the bacteria ...
  • Identifying Factors for Studying in an English Medium Schools or International Curriculum in Secondary and Higher Secondary Levels in Bangladesh 
    Billah, Md Masum (Daffodil International University, 2022-01-19)
    Educational Data mining is a conspicuous research area that helps to develop an educational context. The primary purpose of this work is to find out the factors or attributes for studying in English Medium school or any ...
  • Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh 
    Ridoy, Md. Asif Mahmud; Sarker, Md. Fahim; Datta, Shuvo (Daffodil International University, 2021-09-24)
    Bangladesh is an agricultural country. Rice is one of the major agricultural products of our country. Rice is the staple food of most of the people in the country. As a result, there is a considerable demand for rice in ...
  • Identifying Green Vegetables Using Machine Learning Approach 
    Miah, Mahin; Shetol, Md. Sabbir Ahmed (Daffodil International University, 2021)
    This report portrays a strategy for making a system for distinguishing green vegetables utilizing an AI technique. The objective of the system is to lessen the quantity of human-PC cooperations, accelerate the identification ...
  • Identifying Signs of Depression in Today's World Through the Application of Machine Learning Algorithms 
    Rokoni, Sakib; Islam, MD Tariqul (Daffodil International University, 23-02-12)
    Depression is a serious mental disorder that may lead individuals to endure continual fluctuations in mood, in addition to sensations of melancholy. It is possible for people to have these symptoms as a result of it. It ...
  • Identity Authentication System Using Face Recognition Techniques in Human-computer Interaction 
    Rahman, Md. Khasrur (Daffodil International University, 2019-11)
    Automatic and separately identifying human faces is one of the most challenging issues at present. Although in a little light through the video monitoring cameras, recognizing people's faces is abit default. Our proposed ...
  • "iDoctor" a Web Based Solution for Doctors and Patients. 
    Hasan, Mehedi; Hossen, Limon (Daffodil International University, 23-02-18)
    This project offers a web-based doctor management application system (DM). The system is made to automate the office management duties that go along with running a doctor's business, such as scheduling appointments, ...
  • Image Analysis for Classifying Forest Fire Using Deep Learning 
    Saba, Sabrina; Hossain, Sazzad (Daffodil International University, 23-02-12)
    80% of all living things on earth depend on forests as part of their ecosystem for food and shelter. For most of their existence, Homo humans lived in forests. Forests are at risk from forest fires. Because woods exist, ...

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