2k citations · 2.1k across the 8 of their papers we have counts for
5 papers · 1 filter
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…