Claflin University, Orangeburg, South Carolina, USA.
Sciencegateways, SGX3's HackHPC, adapting High-Performance Computing (HPC) tools in courses*
https://hackhpc.github.io/facultyhack-gateways23/teams
Team Member: Pawar Shrikant, Computer Science, Claflin University, South Carolina, USA.
Team Mentor: Charlie Dey, Texas Advanced Computing Center (TACC), USA.
Project Description: Adapting High-Performance Computing (HPC) tools in image classification using Convulutional Neural Networks (CNN).
Blog Post: Convolutional Neural Network (CNN) is a specialized neural network for processing data that has an input shape like a 2D matrix like images. CNN's are typically used for image detection and classification. In this example we learn how to implement CNN on general images, which then can be replicated for Computer Aided Diagnosis (CAD) on radioimaging datasets like X-rays, computed tomography (CT) scans, etc.
Code/Datasets: Python, Image Classification using Convolutional Neural Networks (CNN): https://www.kaggle.com/code/arbazkhan971/image-classification-using-cnn-94-accuracy
Poster Presentation: 
US Sciencegateways, SGX3's HackHPC, “Adapting High-Performance Computing (HPC) tools in Data Science courses at Claflin University”, October 7-11, 2024, Bozeman, Montana, United States of America (USA).^^ GitHub, Poster.
https://bpb-us-w2.wpmucdn.com/campuspress.yale.edu/dist/7/3679/files/2024/10/Screenshot-2024-10-09-at-8.42.55%E2%80%AFAM-238x300.png
https://hackhpc.github.io/facultyhack-gateways23/teams.html
https://sciencegateways.org/gateways2024-PROGRAM
https://github.com/spawar2/Sciencegateways-SGX3-s-HackHPC-Team-Claflin
https://campuspress.yale.edu/shrikantpawar/files/2024/10/Screenshot-2024-10-09-at-8.43.06%E2%80%AFAM-300x226.png
Curriculum: Attached Data-Science-Syllabus.pdf