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in publisher: "Institute of Electrical and Electronics Engineers"  
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Unsupervised Graph-based Word Sense Disambiguation Using Measures of Word Semantic Similarity

Description: This paper describes an unsupervised graph-based method for word sense disambiguation, and presents comparative evaluations using several measures of word semantic similarity and several algorithms for graph centrality. The results indicate that the right combination of similarity metrics and graph centrality algorithms can lead to a performance competing with the state-of-the-art in unsupervised word sense disambiguation, as measured on standard data sets.
Date: September 2007
Creator: Sinha, Ravi & Mihalcea, Rada, 1974-
Item Type: Refine your search to only Paper
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

A Dense Stereovision System for 3D Body Imaging

Description: Article presents a 3D body imaging system built upon stereovision technology which utilizes paired, high-resolution single-lens reflex (SLR) cameras to image the front and back body surfaces of a person, and robust and efficient stereo matching algorithms to reconstruct the 3D surface of the body with high-density data clouds.
Date: November 26, 2019
Creator: Yao, Ming & Xu, Bugao
Item Type: Refine your search to only Article
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
Item Type: Refine your search to only Article
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.
Item Type: Refine your search to only Article
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.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

3D-FHNet: Three-Dimensional Fusion Hierarchical Reconstruction Method for Any Number of Views

Description: Article proposes a three-dimensional fusion hierarchical reconstruction method that utilizes a multi-view feature combination method and a hierarchical prediction strategy to unify the single view and any number of multiple views 3D reconstructions.
Date: November 22, 2019
Creator: Lu, Qiang; Lu, Yiyang; Xiao, Mingjie; Yuan, Xiaohui & Jia, Wei
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

Social- and Content-Aware Prediction for Video Content Delivery

Description: Article proposes a Social- and Content-aware Video content delivery Prediction method (SCVP) to address the problem of predicting whether a video will be watched by a user for efficient video content delivery in mobile social networks.
Date: February 10, 2020
Creator: Fan, Yuqi; Yang, Bing; Hu, Donghui; Yuan, Xiaohui & Xu, Xiong
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
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

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

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
open access

Anchor Nodes Placement for Effective Passive Localization

Description: This paper discusses anchor nodes placement for effective passive localization. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes share linearity.
Date: 2011
Creator: Akl, Robert G.; Pasupathy, Karthikeyan & Haidar, Mohamad
Item Type: Refine your search to only Paper
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.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
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