Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning (open access)

Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning

Article presents research that creates an automatic repetition counting system that is flexible enough to measure multiple distinct and repeating movements during physical therapy without being trained on the specific motion.
Date: October 10, 2020
Creator: Zelman, Samuel; Dow, Michael; Tabashum, Thasina; Xiao, Ting & Albert, Mark
Object Type: Article
System: The UNT Digital Library
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook (open access)

Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook

This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.
Date: October 19, 2021
Creator: Urs, Namratha; Behpour, Sahar; Georgaras, Angie & Albert, Mark
Object Type: Article
System: The UNT Digital Library
JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases (open access)

JS-MA: A Jensen-Shannon Divergence Based Method for Mapping Genome-Wide Associations on Multiple Diseases

Article develops a a simple, fast, and powerful method, named JS-MA, based on Jensen-Shannon divergence and agglomerative hierarchical clustering, to detect the genome-wide multi-locus interactions associated with multiple diseases.
Date: October 30, 2020
Creator: Guo, Xuan
Object Type: Article
System: The UNT Digital Library
Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation (open access)

Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

Authors of the article created an overall assessment metric using a deep learning autoencoder to directly compare clinical outcomes in a comparison of lower limb amputees using two different prosthetic devices—a mechanical knee and a microprocessor-controlled knee. The proposed methods were used on data collected from ten participants with a dysvascular transfemoral amputation recruited for a prosthetics research study.
Date: October 18, 2022
Creator: Tabashum, Thasina; Xiao, Ting; Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Jayaraman, Arun & Albert, Mark
Object Type: Article
System: The UNT Digital Library
Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE) (open access)

Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE)

Data management plan for the grant "Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE)." Research relating to creating a community infrastructure for researchers using multilayer networks (MLN). This project uses a formally established network decoupling approach to perform various aggregate analysis (community, centrality, substructure detection, etc.) using individual layers and composing them. The broader impact of this planning project is to provide meaningful and appropriate analysis tools that are grounded in theory to a broad range of applications from different domains. The focus is on facilitating the mainstream use of multilayer network analysis in data analysis, research and teaching.
Date: 2021-10-01/2022-09-30
Creator: Bhowmick, Sanjukta
Object Type: Text
System: The UNT Digital Library
agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers (open access)

agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers

Article discusses the large quantities of farm and meat products that rot and are wasted if correct actions are not taken leading to serious health concerns if consumed. Because there is no proper system for tracking and communicating the status of goods to consumers, a right which according to the authors should be a given, they propose a method of increased communication using Corda private blockchain.
Date: October 27, 2022
Creator: Vangipuram, Sukrutha L. T.; Mohanty, Saraju P.; Kougianos, Elias & Ray, Chittaranjan
Object Type: Article
System: The UNT Digital Library
Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing (open access)

Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing

Article discusses how with the wider adoption of edge computing services, intelligent edge devices, and high-speed V2X communication, compute-intensive tasks for autonomous vehicles, such as object detection using camera, LiDAR, and/or radar data, can be partially offloaded to road-side edge servers. The authors aim to address the privacy problem by protecting both vehicles' sensor data and the detection results.
Date: October 31, 2022
Creator: Bai, Tianyu; Fu, Song & Yang, Qing
Object Type: Article
System: The UNT Digital Library
CAREER: Developing a Flexible Serverless Multimedia Streaming Cloud Platform (open access)

CAREER: Developing a Flexible Serverless Multimedia Streaming Cloud Platform

Data management plan for the grant, "CAREER: Developing a Flexible Serverless Multimedia Streaming Cloud Platform."
Date: 2023-10-01/2026-01-31
Creator: Amini Salehi, Mohsen
Object Type: Text
System: The UNT Digital Library
Predicting psoriasis using routine laboratory tests with random forest (open access)

Predicting psoriasis using routine laboratory tests with random forest

Article describes how psoriasis is a chronic inflammatory skin disease that affects approximately 125 million people worldwide. The goal of the authors' study is to derive a powerful predictive model for psoriasis disease based on only routine hospital tests.
Date: October 19, 2021
Creator: Zhou, Jing; Li, Yuzhen & Guo, Xuan
Object Type: Article
System: The UNT Digital Library
Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies (open access)

Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies

Article describes how Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers (PLC), play a crucial role in managing and regulating industrial processes. This article presents an overview of ICS security, covering its components, protocols, industrial applications, and performance aspects.
Date: October 30, 2023
Creator: Nankya, Mary; Chataut, Robin & Akl, Robert
Object Type: Article
System: The UNT Digital Library