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open access

Using Wikipedia for Automatic Word Sense Disambiguation

Description: This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.
Date: April 2007
Creator: Mihalcea, Rada, 1974-
Item Type: Refine your search to only Paper
Partner: UNT College of Engineering

WiFi and WCDMA Network Design

Description: This presentation discusses WiFi access point selection and traffic balancing, multi-cell wideband code division multiple access (WCDMA) with multiple classes, user modeling using 2D Gaussian distribution, and intra-cell and inter-cell interference and capacity.
Date: April 2005
Creator: Akl, Robert G.
Item Type: Refine your search to only Presentation
Partner: UNT College of Engineering
open access

Investigation of the Effect of Type 2 Diabetes Mellitus on Subgingival Plaque Microbiota by High-Throughput 16S rDNA Pyrosequencing

Description: Article discussing the bacterial composition of subgingival plaque among diabetic and non-diabetic subjects to determine the effect that diabetes mellitus has on dental health.
Date: April 22, 2013
Creator: Zhou, Mi; Rong, Ruichen; Munro, Daniel; Zhu, Chunxia; Gao, Xiang; Zhang, Qi et al.
Item Type: Refine your search to only Article
Partner: UNT College of Arts and Sciences
open access

Evaluating spatial patterns of seasonal ozone exposure and incidence of respiratory emergency room visits in Dallas-Fort Worth

Description: This article examines the relationships between spatial patterns of long-term ozone exposure and respiratory illness within Dallas-Fort Worth to better understand impacts on health outcomes.
Date: April 13, 2021
Creator: Northeim, Kari; Marks, Constant & Tiwari, Chetan
Item Type: Refine your search to only Article
Partner: University of North Texas
open access

Action unit classification for facial expression recognition using active learning and SVM

Description: Article utilizing active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial expression recognition. Experimental results show that the proposed algorithm can effectively suppress correlated noise and achieve higher recognition rates than principal component analysis and a human observer on seven different facial expressions.
Date: April 4, 2021
Creator: Yao, Li; Wan, Yan & Xu, Bugao
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases

Description: Article proposes a novel Bayesian method, named BAM, for simultaneously partitioning Single Nucleotide Polymorphisms (SNPs) into Linkage Disequilibrium(LD)-blocks and detecting genome-wide multi-locus epistatic interactions that are associated with multiple diseases. Experimental results on the simulated datasets demonstrate that BAM is powerful and efficient.
Date: April 16, 2020
Creator: Guo, Xuan; Wu, Guanying & Xu, Baohua
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
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
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

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
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

Creating an autoencorder single summary metric to assess gair quality to compare surgical outcomes in children with cerebral palsy: The Shriners Gait Index (SGI)

Description: In this article the authors propose a single summary metric (the Shriners Gait Index (SGI)) to represent the quality of gait using a deep learning autoencoder model, which helps to capture the nonlinear statistical relationships among a number of disparate gait metrics. The authors utilized gait data of 412 individuals under the age of 18 collected from the Motion Analysis Center (MAC) at the Shriners Children’s - Chicago.
Date: April 25, 2024
Creator: Wang, Shou-Jen; Tabashum, Thasina; Kruger, Karen M.; Krazak, Joseph J.; Graf, Adam; Chafetz, Ross C. et al.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
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