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[Untitled NSF Grant Data Management Plan For Dr. Mohsen Amini Salehi] (open access)

[Untitled NSF Grant Data Management Plan For Dr. Mohsen Amini Salehi]

Data management plan for a NSF grant with a name that has not been determined.
Date: 2023-12-13/2024-12-12
Creator: Amini Salehi, Mohsen
Object Type: Text
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
Collaborative Research: IRES Track I: Wireless Federated Fog Computing for Remote Industry 4.0 Applications (open access)

Collaborative Research: IRES Track I: Wireless Federated Fog Computing for Remote Industry 4.0 Applications

Data management plan for the grant, "Collaborative Research: IRES Track I: Wireless Federated Fog Computing for Remote Industry 4.0 Applications."
Date: 2024-02-01/2026-04-30
Creator: Amini Salehi, Mohsen
Object Type: Text
System: The UNT Digital Library
FlexiChain 3.0: Distributed Ledger Technology-Based Intelligent Transportation for Vehicular Digital Asset Exchange in Smart Cities (open access)

FlexiChain 3.0: Distributed Ledger Technology-Based Intelligent Transportation for Vehicular Digital Asset Exchange in Smart Cities

Article describes how, due to the enormous amounts of data being generated between users, Intelligent Transportation Systems (ITS) are complex Cyber-Physical Systems that necessitate a reliable and safe infrastructure. In this work, the authors explore Distributed Ledger Technology (DLT) and collect data about consensus algorithms and their applicability to be used in the IoV as the backbone of ITS.
Date: April 19, 2023
Creator: Alkhodair, Ahmad; Mohanty, Saraju P. & Kougianos, Elias
Object Type: Article
System: The UNT Digital Library
SUPREME: multiomics data integration using graph convolutional networks (open access)

SUPREME: multiomics data integration using graph convolutional networks

Article states that, to pave the road towards precision medicine in cancer, patients with similar biology ought to be grouped into same cancer subtypes. On breast cancer subtyping, unlike existing tools, SUPREME generates patient embeddings from multiple similarity networks utilizing multiomics features and integrates them with raw features to capture complementary signals.
Date: June 28, 2023
Creator: Kesimoglu, Ziynet Nesibe & Bozdag, Serdar
Object Type: Article
System: The UNT Digital Library
PPAD: a deep learning architecture to predict progression of Alzheimer’s disease (open access)

PPAD: a deep learning architecture to predict progression of Alzheimer’s disease

Article asserts that Alzheimer’s disease (AD) is a neurodegenerative disease that affects millions of people worldwide. The authors of the article propose two deep learning architectures based on RNN, namely Predicting Progression of Alzheimer’s Disease (PPAD) and PPAD-Autoencoder.
Date: June 30, 2023
Creator: Olaimat, Mohammad Al; Martinez, Jared; Saeed, Fahad & Bozdag, Serdar
Object Type: Article
System: The UNT Digital Library
NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool (open access)

NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool

Article asserts that the nuclear receptor (NR) superfamily includes phylogenetically related ligand-activated proteins, which play a key role in various cellular activities. The authors developed Nuclear Receptor Prediction Tool (NRPreTo), a two-level NR prediction tool with a unique training approach where in addition to the sequence-based features used by existing NR prediction tools, six additional feature groups depicting various physiochemical, structural, and evolutionary features of proteins were utilized.
Date: May 30, 2023
Creator: Madugula, Sita Sirisha; Pandey, Suman; Amalapurapu, Shreya & Bozdag, Serdar
Object Type: Article
System: The UNT Digital Library
NextGen-Malloc: Giving Memory Allocator Its Own Room in the House (open access)

NextGen-Malloc: Giving Memory Allocator Its Own Room in the House

Article describes how memory allocation and management have a significant impact on performance and energy of modern applications. The authors observe that performance can vary by as much as 72% in some applications based on which memory allocator is used, and in this paper, the authors make a case for offloading memory allocation (and other similar management functions) from main processing cores to other processing units to boost performance, reduce energy consumption, and customize services to specific applications or application domains.
Date: June 22, 2023
Creator: Li, Ruihao; Wu, Qinzhe; Kavi, Krishna M.; Mehta, Gayatri; Yadwadkar, Neeraja J. & John, Lizy Kurian
Object Type: Article
System: The UNT Digital Library
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs (open access)

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Article describes how today's large-scale scientific applications running on high-performance computing (HPC) systems generate vast data volumes. Thus, data compression is becoming a critical technique to mitigate the storage burden and data-movement cost. In this paper, the authors develop a fast and high- ratio error-bounded lossy compressor on GPUs for scientific data (called FZ-GPU).
Date: August 7, 2023
Creator: Zhang, Bouyan; Tian, Jiannan; Di, Sheng; Yu, Xiaodong; Feng, Yunhe; Liang, Xin et al.
Object Type: Article
System: The UNT Digital Library
OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans (open access)

OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans

Article asserts that the foot is a vital organ, as it stabilizes the impact forces between the human skeletal system and the ground. The authors present an instep girth measurement algorithm, and they used a pixel per metric algorithm for measurement; these algorithms were accordingly integrated with the application.
Date: December 6, 2022
Creator: Rafiq, Riyad Bin; Hoque, Kazi Miftahul; Kabir, Muhammad Ashad; Ahmed, Sayed & Laird, Craig
Object Type: Article
System: The UNT Digital Library
Graduate Research Fellowship Program (GRFP): Ali Yar Khan (open access)

Graduate Research Fellowship Program (GRFP): Ali Yar Khan

Data management plan for the grant, "Graduate Research Fellowship Program (GRFP)" for Ali Yar Khan.
Date: 2023-09-15/2028-08-31
Creator: Oppong, Joseph R. & Khan, Ali Yar
Object Type: Text
System: The UNT Digital Library
Visual object tracking: Progress, challenge, and future (open access)

Visual object tracking: Progress, challenge, and future

Article discusses how visual object tracking aims to continuously localize the target object of interest in a video sequence. To provide the community an overview, in this commentary, the authors discuss visual tracking from different aspects.
Date: February 21, 2023
Creator: Zhang, Libo & Fan, Heng
Object Type: Article
System: The UNT Digital Library
2023-GenCyber-University of North Texas (open access)

2023-GenCyber-University of North Texas

Data management plan for the grant, "2023-GenCyber-University of North Texas."
Date: 2023-09-08/2025-09-08
Creator: Do, Hyunsook
Object Type: Text
System: The UNT Digital Library
SaTC: CORE: Small: Probing Fairness of Ocular Biometrics Methods Across Demographic Variations (open access)

SaTC: CORE: Small: Probing Fairness of Ocular Biometrics Methods Across Demographic Variations

Data management plan for the grant, "SaTC: CORE: Small: Probing Fairness of Ocular Biometrics Methods Across Demographic Variations."
Date: 2023-08-01/2024-10-31
Creator: Rattani, Ajita
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
Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends (open access)

Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends

Article states that vaccines, though reliable preventative measures for diseases, also raise public concerns; public apprehension and doubts challenge the acceptance of new vaccines including the COVID-19 vaccines. This study is the first attempt to review the role of AI approaches in COVID-19 vaccination-related sentiment analysis.
Date: September 5, 2022
Creator: Aljedaani, Wajdi; Saad, Eysha; Rustam, Furqan; de la Torre Díez, Isabel & Ashraf, Imran
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
Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features (open access)

Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features

Article discusses how despite the advantages of online education, it lacks face-to-face settings, which makes it very difficult to analyze the students’ level of interaction, understanding, and confusion. This study proposes a novel engineering approach that uses probability-based features (PBF) for increasing the efficacy of machine learning models.
Date: September 9, 2022
Creator: Daghriri, Talal; Rustam, Furqan; Aljedaani, Wajdi; Bashiri, Abdullateef H. & Ashraf, Imran
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
PharmaChain: A blockchain to ensure counterfeit‐free pharmaceutical supply chain (open access)

PharmaChain: A blockchain to ensure counterfeit‐free pharmaceutical supply chain

Article discusses how globalisation has facilitated different industries to eliminate geographical boundaries and equipped organisations to work collectively to produce goods. The authors of the article propose a novel Distributed Ledger Technology (DLT) based transparent supply chain for PSC and proof-of-concept is implemented to analyse the scalability and efficiency of the proposed architecture.
Date: July 5, 2022
Creator: Bapatla, Anand K.; Mohanty, Saraju P.; Kougianos, Elias; Putha, Deepak & Bapatla, Anusha
Object Type: Article
System: The UNT Digital Library
Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning (open access)

Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning

Article describes how distributed-denial-of-service (DDoS) attacks can cause a great menace to numerous organizations and their stakeholders. The authors assert that the objective of this research work is to take into account a DDoS afflicted SDN specific dataset and detect the malicious traffic by using various machine learning algorithms namely., K-Nearest Neighbours, Logistic Regression, Multilayer Perceptron, Iterative Dichotomiser 3, and Stochastic Gradient Descent.
Date: January 10, 2022
Creator: Prasad, Ashwani; Prasad, Sanjana; Arockiasamy, Karmel; P, Karthika & Yuan, Xiaohui
Object Type: Article
System: The UNT Digital Library
Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale (open access)

Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale

Data management plan for the grant, "Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale." This project aims to improve the computation efficiency of graph neural networks (GNNs), which are an emerging class of deep learning models on graphs, with many successful applications, such as, recommendation systems, drug discovery, social network analysis, and code vulnerability detection. This project aims to to design an efficient GNN framework via algorithm and system co-design for both static and dynamic graphs.
Date: 2024-01-01/2026-12-31
Creator: Ji, Yuede
Object Type: Text
System: The UNT Digital Library
CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure (open access)

CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure

Data management plan for the grant, "CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure." Ensuring the security and privacy of high-performance computing (HPC) infrastructures is of utmost importance due to their handling of sensitive data and critical scientific computations. HPC infrastructures commonly employ containers, which provide lightweight and isolated environments for running applications. Nevertheless, containers in HPC infrastructures encounter security challenges, including insecure container images and vulnerabilities related to isolation. Existing container image scanners face a major challenge of low coverage, while current container runtimes struggle to ensure both security and performance for HPC workloads simultaneously. This project addresses these challenges by developing secure containers specifically tailored for HPC infrastructures. The project introduces innovative solutions, including the development of an efficient image vulnerability scanner and a secure container runtime.
Date: 2023-08-01/2026-07-31
Creator: Ji, Yuede
Object Type: Text
System: The UNT Digital Library
SaTC: CORE: Small: Customizable Geo-Obfuscation to Protect Users' Location Privacy in Mobile Crowdsourcing (open access)

SaTC: CORE: Small: Customizable Geo-Obfuscation to Protect Users' Location Privacy in Mobile Crowdsourcing

Data management plan for the grant, "SaTC: CORE: Small: Customizable Geo-Obfuscation to Protect Users' Location Privacy in Mobile Crowdsourcing."
Date: 2023-07-01/2026-06-30
Creator: Qiu, Chenxi
Object Type: Text
System: The UNT Digital Library