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open access

Data-Driven Decision-Making and Its Impacts on Education Quality in Developing Countries: A Systematic Review

Description: Article describes how data-driven decision-making (DDDM) technologies are increasingly being utilized, aiming to enhance education quality. Authors assert that this paper examines articles that explore the implementation of DDDM technologies and their effects on education quality.
Date: November 6, 2023
Creator: Alemneh, Daniel Gelaw; Asfaw, Zelalem & Jimma, Worku
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Partner: UNT Libraries
open access

End of Term Web Archive Dataset: Longitudinal Web Archive of .GOV and .MIL Domains

Description: Article describes how the End of Term (EOT) Web Archive Dataset presents a longitudinal dataset of the US federal web which includes publicly available .gov and .mil domains, created during the 2008, 2012, 2016, and 2020 presidential elections in the United States. The authors describe how based on the End of Term Web Archive, this dataset presents 461TB of WARC data and accompanying derivative files in WAT, WET, and CDX format.
Date: October 3, 2023
Creator: Phillips, Mark Edward; Phillips, Kristy & Alam, Sawood
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Partner: UNT College of Information
open access

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model

Description: This article presents a study detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. The proposed GCR-NN model can detect 97% of the tweets that contain racist comments.
Date: January 18, 2022
Creator: Lee, Ernesto; Rustam, Furqan; Washington, Patrick Bernard; El Barakaz, Fatima; Aljedaani, Wajdi & Ashraf, Imran
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Partner: UNT College of Engineering
open access

Artificial Intelligence for Colonoscopy: Past, Present, and Future

Description: Article summarizing the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials, (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities.
Date: August 2021
Creator: Tavanapong, Wallapak; Oh, JungHwan; Riegler, Michael; Khaleel, Mohammed I.; Mitta, Bhuvan & de Groen, Piet C.
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Partner: UNT College of Engineering
open access

Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network

Description: This article develops a deep-learning algorithm for an on-loom fabric defect inspection system by combining the techniques of image pre-processing, fabric motif determination, candidate defect map generation, and convolutional neural networks (CNNs).
Date: April 29, 2019
Creator: Ouyang, Wenbin; Xu, Bugao; Hou, Jue & Yuan, Xiaohui
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Partner: UNT College of Engineering
open access

Does Providing a Personalized Educational Game Based on Personality Matter? A Case Study

Description: This article presents an educational game which models learner's personality, specifically introvert/extrovert dimension, to serve as a personalized game learning environment. The findings of this study can be used by educators and game designers to adopt and develop personalized game learning environments based on learner's personality.
Date: August 19, 2019
Creator: Kinshuk; Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chen, Nian-Shing et al.
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Partner: UNT College of Information
open access

Bayesian analysis of complex mutations in HBV, HCV, and HIV studies

Description: This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.
Date: April 4, 2019
Creator: Guo, Xuan; Liu, Bing; Feng, Shishi & Zhang, Jing
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Partner: UNT College of Engineering
open access

ICT in Higher Education: An Exploration of Practices in Malaysian Universities

Description: Article investigating the use of information and communication technologies (ICTs) in education. To investigate this issue, the technology adoption and gratification (TAG) model was validated and used to examine Malaysian university teachers' adoption and gratification of ICT for teaching and research purposes and then used to investigate the moderating effect of universities in different regions. This paper confirms the utility of the TAG model for comparing teachers' adoption and gratificatio… more
Date: January 29, 2019
Creator: Spector, J. Michael; Islam, A. Y. M. Atiquil; Mok, Magdalena Mo Ching; Gui, Xiaoqing & Hai-Leng, Chin
Item Type: Refine your search to only Article
Partner: UNT College of Information
open access

Convolutional Neural Network for Extracting 3D Point Clouds of Fibrous Web From Multi-Focus Images

Description: Article presents a new method for extracting 3D point clouds from multi-focus images of a fibrous web acquired on an optical microscope to analyze microscopic structures of a fibrous web.
Date: May 11, 2020
Creator: Hou, Jue; Ouyang, Wenbin; Xu, Bugao & Wang, Rongwu
Item Type: Refine your search to only Article
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Aspect-Based Fashion Recommendation With Attention Mechanism

Description: Article proposes an aspect-based fashion recommendation model with attention mechanism (AFRAM) to predict customer ratings based on online reviews of fashion products. The experiment results demonstrate that AFRAM is more effective in customer rating predictions, as compared to several state-of-the-art fashion recommenders.
Date: August 3, 2020
Creator: Xu, Bugao
Item Type: Refine your search to only Article
Partner: UNT College of Merchandising, Hospitality and Tourism
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
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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.
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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.
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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
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Partner: UNT College of Engineering
open access

Personal Internet of Things (PIoT): What Is It Exactly?

Description: This article provides a big picture of PIoT architecture, vision, and future research scope. The exploratory study of PIoT is in its infancy, which will explore the expansion of new use cases, service requirements, and the proliferation of PIoT devices. This is a preprint version of this article.
Date: May 14, 2021
Creator: Sahoo, Biswa P. S.; Mohanty, Saraju P.; Puthal, Deepak & Pillai, Prashant
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Partner: UNT College of Engineering
open access

On Comparing the Similarity and Dissimilarity Between Two Distinct Vehicular Trajectories

Description: This article studies the problem of comparing the similarity and dissimilarity between two distinct vehicular trajectories by proposing an adjacency-based metric. This approach has a broad application in building truthfulness by comparing the similarity between two vehicles and evaluating the dissimilarity between two distinct paths in hazardous materials transportation.
Date: February 23, 2021
Creator: Qingge, Letu; Zhou, Peng; Dai, Lihui; Yang, Qing & Zhu, Binhai
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Partner: UNT College of Engineering
open access

Multilevel Topological Interference Management: A TIM-TIN Perspective

Description: Article combining TIN with the topological interference management (TIM) framework that identifies optimal interference avoidance schemes and formulates a TIM-TIN problem for multilevel topological interference management, wherein only a coarse knowledge of channel strengths and no knowledge of channel phases is available to transmitters.
Date: August 5, 2021
Creator: Geng, Chunhua; Sun, Hua & Jafar, Syed A.
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Partner: UNT College of Engineering
open access

On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems

Description: This article focuses on practical computing systems with heterogeneous computing resources, and designs a novel CDC approach, called batch-processing based coded computing (BPCC), which exploits the fact that every computing node can obtain some coded results before it completes the whole task. The scheme demonstrates promising performance in terms of high computational efficiency and robustness to uncertain disturbances.
Date: July 7, 2021
Creator: Wang, Baoqian; Xie, Junfei; Lu, Kejie; Wan, Yan & Fu, Shengli
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
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