2k citations · 2.1k across the 8 of their papers we have counts for
9 papers
U-Net and its variants for medical image segmentation: theory and applications
Nahian Siddique, Paheding Sidike, Colin Elkin +1
U-net is an image segmentation technique developed primarily for medical image analysis that can precisely segment images using a scarce amount of training data. These traits provi…
IVACS: Intelligent Voice Assistant for Coronavirus Disease (COVID-19) Self-Assessment
Parashar Dhakal, Praveen Damacharla, Ahmad Y. Javaid +2
At the time of writing this paper, the world has around eleven million cases of COVID-19, scientifically known as severe acute respiratory syndrome corona-virus 2 (SARS-COV-2). One…
Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training
Praveen Damacharla, Parashar Dhakal, Sebastian Stumbo +5
As part of a perennial project, our team is actively engaged in developing new synthetic assistant (SA) technologies to assist in training combat medics and medical first responder…
Common Metrics to Benchmark Human-Machine Teams (HMT): A Review
Praveen Damacharla, Ahmad Y. Javaid, Jennie J. Gallimore +1
A significant amount of work is invested in human-machine teaming (HMT) across multiple fields. Accurately and effectively measuring system performance of an HMT is crucial for mov…
Study on State-of-the-art Cloud Services Integration Capabilities with Autonomous Ground Vehicles
Praveen Damacharla, Dhwani Mehta, Ahmad Y Javaid +1
Computing and intelligence are substantial requirements for the accurate performance of autonomous ground vehicles (AGVs). In this context, the use of cloud services in addition to…
Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks
Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
On-line social networks (OSNs) often contain many different types of relationships between users. When studying the structure of OSNs such as Facebook, two of the most commonly stu…