Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Brain Tumor Classification Using Convolutional Neural Network
Published in 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 2019
The paper outlines a deep learning method to classify brain tumors from MRI images using a CNN model. The model achieves high accuracy and precision by preprocessing images and applying advanced neural network techniques, significantly aiding in the diagnostic process of identifying different types of brain tumors.
Recommended citation: S. Das, O. F. M. R. R. Aranya and N. N. Labiba, "Brain Tumor Classification Using Convolutional Neural Network," 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), Dhaka, Bangladesh, 2019, pp. 1-5, doi: 10.1109/ICASERT.2019.8934603.
Download Paper | Download Slides
COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning
Published in Informatics in Medicine Unlocked, Volume 26, 2021
The paper presents COV-VGX, an automated detection system for COVID-19 using chest X-ray images through deep learning and transfer learning approaches. It employs two classifiers: a multiclass classifier to discern among COVID-19, pneumonia, and normal cases, and a binary classifier for COVID-19 and pneumonia. Leveraging the VGG-16 model, it achieves significant accuracy and precision, demonstrating its potential as an effective tool in diagnosing COVID-19 in a clinical setting. The paper also discusses the challenges of limited COVID-19 image datasets and the importance of accurate testing to prevent disease spread.
Recommended citation: P. Saha, M. Sadi, O. Aranya, S. Jahan and F. Islam, "COV-VGX: An automated COVID-19 detection system using X -ray images and transfer learning", Informatics in Medicine Unlocked, vol. 26, pp. 100741, 2021.
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Discrete Math Structures
CS-2233, Department of Computer Science, UTSA, 2023
This is a description of a teaching experience. You can use markdown like any other post.
Application Programming
CS-3443, Department of Computer Science, UTSA, 2024
This is a description of a teaching experience. You can use markdown like any other post.
Computer Architecture
CS-3853, Department of Computer Science, UTSA, 2024
This is a description of a teaching experience. You can use markdown like any other post.