UNT Scholarly Works - 369 Matching Results

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open access

Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations

Description: Article describes how the accurate and efficient determination of hydrologic connectivity has garnered significant attention from both academic and industrial sectors due to its critical implications for environment management. To address these challenges, the focus of the author's study is on detecting drainage crossings through the application of advanced convolutional neural networks.
Date: November 12, 2023
Creator: Zhang, Yicheng; Pandey, Dhroov; Wu, Di; Kundu, Turja; Li, Ruopu & Shu, Tong
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Partner: UNT College of Engineering
open access

Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices

Description: Article describes how embedded devices, constrained by limited memory and processors, require deep learning models to be tailored to their specifications. This research explores customized model architectures for classifying drainage crossing images.
Date: November 12, 2023
Creator: Li, Yuke; Baik, Jiwon; Rahman, Md Marufi; Anagnostopoulos, Iraklis; Li, Ruopu & Shu, Tong
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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.
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

SUPREME: multiomics data integration using graph convolutional networks

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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 … more
Date: June 22, 2023
Creator: Li, Ruihao; Wu, Qinzhe; Kavi, Krishna M.; Mehta, Gayatri; Yadwadkar, Neeraja J. & John, Lizy Kurian
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Partner: UNT College of Engineering
open access

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

Description: 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 prot… more
Date: May 30, 2023
Creator: Madugula, Sita Sirisha; Pandey, Suman; Amalapurapu, Shreya & Bozdag, Serdar
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Partner: UNT College of Engineering
open access

Feasibility of PROMIS using computerized adaptive testing during inpatient rehabilitation

Description: Article describes how there has been an increased significance on patient-reported outcomes in clinical settings. The authors aimed to evaluate the feasibility of administering patient-reported outcome measures by computerized adaptive testing (CAT) using a tablet computer with rehabilitation inpatients, assess workload demands on staff, and estimate the extent to which rehabilitation inpatients have elevated T-scores on six Patient Reported Outcomes Measurement Information System (PROMIS) meas… more
Date: May 10, 2023
Creator: Rafiq, Riyad Bin; Yount, Susan; Jerousek, Sara; Roth, Elliot J.; Cella, David; Albert, Mark et al.
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

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

Description: 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
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Partner: UNT College of Engineering
open access

Computing microRNA-gene interaction networks in pan-cancer using miRDriver

Description: This article is a study where the authors integrated the multi-omics datasets such as copy number aberration, DNA methylation, gene and microRNA expression to identify the signature microRNA-gene associations from frequently aberrated DNA regions across pan-cancer utilizing a LASSO-based regression approach.
Date: March 8, 2022
Creator: Bose, Banabithi; Moravec, Matthew & Bozdag, Serdar
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Partner: UNT College of Engineering
open access

COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset

Description: Article is a study analyzing the global perceptions and perspectives towards COVID-19 vaccination using a worldwide Twitter dataset, natural language processing, and machine learning.
Date: February 22, 2022
Creator: Reshi, Aijaz Ahmad; Rustam, Furqan; Aljedaani, Wajdi; Shafi, Shabana; Alhossan, Abdulaziz; Alrabiah, Ziyad et al.
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Partner: UNT College of Engineering
open access

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Description: Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
Date: January 19, 2022
Creator: Rupapara, Vaibhav; Rustam, Furqan; Aljedaani, Wajdi; Shahzad, Hina Fatima; Lee, Ernesto & Ashraf, Imran
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Partner: UNT College of Engineering
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