Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Deb, Shrabosty"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Results Per Page
  • Sort Options
  • No Thumbnail Available
    Item
    Bangladeshi Local Potatoes Dataset and Classification Using Deep Learning
    (IEEE, 2020-12) Deb, Shrabosty; Laboni, Marfi Akter; Hena, Most. Hasna
    Potato is one of the major foods in Bangladesh during winter which shows the most environmentally amiable vegetables. Variations of potatoes in Bangladesh that are grown here are extensively categorized into two divisions, high yielding and local. Assuredly, potato is the world’s most important crop when it comes to rank according to the volume of the fresh products. Moreover, the minerals, fibers, and vitamins it delivers can serve convenience for human healthiness and guard against diseases. Recently, different kinds of potatoes of Bangladesh has been exporting to various countries worldwide. Hence, a lot of people are engaging in agriculture to cultivate potatoes. It is very essential for the farmers to acknowledge that; which kinds of potato cultivation will be beneficial according to the market price and cultivating process. This system can help agriculturists, farmers, and general people to find out the local species of potatoes. This dataset of locally recognized potatoes like Diamond Alu, Mete Alu, Lal Alu, Jam Alu, Lal Mishti Alu, Chhoto Lal Alu, Mete Chhora Alu, Shunno Alu, Shada Mishti Alu, and Keshar Alu. Using a dataset of potatoes (5190 images) that have been collected by us, this research trained a CNN (Convolutional Neural Network) and deep learning based model to identify potatoes. The model gets an accuracy of 98.87%.
  • Thumbnail Image
    Item
    Development of Android Based Application: MEDILINK
    (Daffodil International University, 2019-12) Hasan, Md. Al Mehedi; Deb, Shrabosty
    This project is based on medical communication system between the patient, hospitals/clinics, doctors, nurses, physiotherapists and pharmacies. This project has been made to create an easier, faster and smoother communication system patient, hospitals/clinics, doctors, nurses, physiotherapists and pharmacies. This project will help to get a better and easier remedies for the patient that will increase the chances of recovery. That’s why, we developed this project that will help the users a lot by helping them to get a faster medical solution. This project will increase the chances of the patients getting most accurate online medical solution, medicines and so on. Most of time, in a country like us, people don’t get proper treatment in time, this project will help them to get opinions from various doctors, even from the foreign doctors. So, this project will open an opportunity for the patients to compare the opinions from various doctors. This project will also help them to book appointment of the doctors directly. User also will be able to order medicine online form the pharmacies. They can book medical helps from the hospitals any time. This will reduce the suffer and time for the users. Our projects has created a whole medical solution. It will save time and users doesn’t have to worry about their communication problems regarding medical conditions. This system is implemented and supervised by the experts and satisfying by the users. XML, JAVA, firebase are used to develop the system.

© Open Research Bangladesh

  • Privacy policy
  • End User Agreement
  • Send Feedback