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open access

Enhancement of COVID-19 Diagnosis using Machine Learning and Texture Analyses of Lung Imaging

Description: Article proposing CoviSegNet, an enhanced U-Net model to segment ground-glass opacities and consolidations in CT scans of Covid-19 positive patients. The performance of CoviSegNet was evaluated on three public CT datasets. The experimental results show that the proposed CoviSegNet is highly promising.
Date: 2021-09-13/2021-09-15
Creator: Oh, JungHwan & Mittal, Bhuvan
Item Type: Refine your search to only Article
Partner: UNT College of Information
open access

MyWear: A Novel Smart Garment for Automatic Continuous Vital Monitoring

Description: Accepted Manuscript version of an article presenting the design and development of a smart garment called MyWear that continuously monitors and collects physiological data. It can analyze muscle activity, stress levels, and heart rate variations and send all the data to the cloud. With a in-built alert system, it can notify the associated medical officials if necessary. The authors also propose a deep neural network model that classifies heartbeat data into abnormalities with 96.9% accuracy and… more
Date: June 3, 2021
Creator: Sethuraman, Sibi C.; Kompally, Pranav; Mohanty, Saraju P. & Choppali, Uma
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images

Description: This is the Accepted Manuscript version of an article that proposes HAR-Depth with sequential and shape learning along with the novel concept of depth history image (DHI) to address the challenges of Human action recognition (HAR). Results suggest that the proposed work of this paper performs better in terms of overall accuracy, kappa parameter and precision compared to the other state-of-the-art algorithms present in the earlier reported literature.
Date: August 24, 2020
Creator: Sahoo, Suraj Prakash; Ari, Samit; Mahapatra, Kamalakanta & Mohanty, Saraju P.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

GlobeChain: An Interoperable Blockchain for Global Sharing of Healthcare Data - A COVID-19 Perspective

Description: Article introducing a Blockchain-based medical data-sharing framework (called GlobeChain) to overcome the technical challenges to handle outbreak records. The challenges that might arise due to the proposed Blockchain-based framework are also presented as a future direction that grabs the proposal's effectiveness. This is the accepted manuscript version of the article.
Date: September 1, 2021
Creator: Biswas, Sujit; Li, Fan; Latif, Zohaib; Sharif, Kashif; Bairagi, Anupam K. & Mohanty, Saraju P.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

Everything You Wanted to Know About Continuous Glucose Monitoring

Description: Article providing a brief review about various approaches of continuous glucose measurement with noninvasive manner. This article covers the state-of-the-art glucose measurement methods and its control mechanism. The study of various consumer products have also been discussed along with the open challenges. This is the Accepted Manuscript version.
Date: November 1, 2021
Creator: Joshi, Amit M. & Mohanty, Saraju P.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

Toward Next-Generation Robust Cryptosystems

Description: Accepted Manuscript version of an article that presents thoughts on paradigm-shift next generation cryptosystems to overcome the vulnerabilities of the omnipresent conventional cryptosystems.
Date: April 20, 2021
Creator: Puthal, Deepak; Swain, Srinibas & Mohanty, Saraju P.
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Partner: UNT College of Engineering
open access

sCrop: A Novel Device for Sustainable Automatic Disease Prediction, Crop Selection, and Irrigation in Internet-of-Agro-Things for Smart Agriculture

Description: Accepted Manuscript version of an article introducing the innovative idea of the Internet-of-Agro-Things (IoAT) with an explanation of the automatic detection of plant disease for the development of Agriculture Cyber-Physical System (ACPS). An accuracy of 99.24% is achieved by the proposed plant disease prediction framework.
Date: August 15, 2021
Creator: Udutalapally, Venkanna; Mohanty, Saraju P.; Pallagani, Vishal & Khandelwal, Vedant
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

I Cannot See You—The Perspectives of Deaf Students to Online Learning during COVID-19 Pandemic: Saudi Arabia Case Study

Description: This article investigates the e-learning experiences of deaf students, focusing on the college of the Technical and Vocational Training Corporation (TVTC) in the Kingdom of Saudi Arabia (KSA). Particularly, it studies the challenges and concerns faced by deaf students during the sudden shift to online learning. Results report problems with internet access, inadequate support, and inaccessibility of content from learning systems, among other issues. The authors argue that institutions should con… more
Date: November 5, 2021
Creator: Aljedaani, Wajdi; Aljedaani, Mona; AlOmar, Eman Abdullah; Mkaouer, Mohamed Wiem; Ludi, Stephanie & Khalaf, Yousef Bani
Item Type: Refine your search to only Article
Partner: UNT College of Engineering

An Interactive Model for Vector Borne Diseases: A Simulation for Zika in French Polynesia

Description: Post presented at Contagion 2016, a satellite meeting at the 2016 Conference on Complex Systems. This poster presents a stochastic agent-based model that simulates the transmission of ZIKA via mosquitoes in 11 islands in the French Polynesia.
Date: September 21, 2016
Creator: Gwalani, Harsha; Alshammari, Sultanah M. & Mikler, Armin R.
Item Type: Refine your search to only Poster
Partner: UNT College of Engineering
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