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369 Matching Results
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Automatic trend detection: Time-biased document clustering
This article presents a novel approach of introducing a weighted temporal feature to bias a topic clustering toward articles in a similar time frame, performed over a set of finance journal abstracts from 1974 to 2020 to demonstrate how time can be emphasized in trend detection. The authors detect trending finance topics that are not identifiable when we use a standard clustering approach with no temporal bias.
Date:
March 2, 2021
Creator:
Behpour, Sahar; Mohammadi, Mohammadmahdi; Albert, Mark; Alam, Zinat S.; Wang, Lingling & Xiao, Ting
Object Type:
Article
System:
The UNT Digital Library
Action unit classification for facial expression recognition using active learning and SVM
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
Object Type:
Article
System:
The UNT Digital Library
Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB
This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.
Date:
June 26, 2021
Creator:
Xiao, Ting; Greenberg, Ronald I. & Albert, Mark
Object Type:
Article
System:
The UNT Digital Library
Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial
Article evaluating whether advanced prostheses can provide better safety and performance capabilities to maintain and improve quality of life in individuals who are predominantly designated MFCL level K2. This study used a 13 month longitudinal clinical trial to determine the benefits of using a C-Leg and 1M10 foot in individuals at K2 level with transfemoral amputation due to vascular disease.
Date:
May 25, 2021
Creator:
Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Albert, Mark; Lipschutz, Robert; Hoppe-Ludwig, Shenan; Mathur, Gayatri et al.
Object Type:
Article
System:
The UNT Digital Library
Protein functional module identification method combining topological features and gene expression data
Article conducting an intensive study on the problems of low recognition efficiency and noise in the overlapping structure of protein functional modules, based on topological characteristics of PPI network. Developing a protein function module recognition method ECTG based on Topological Features and Gene expression data for Protein Complex Identification. The experimental results show that the ECTG algorithm can detect protein functional modules better.
Date:
June 8, 2021
Creator:
Zhao, Zihao; Xu, Wenjun; Chen, Aiwen; Han, Yueyue; Xia, Shengrong; Xiang, ChuLei et al.
Object Type:
Article
System:
The UNT Digital Library
Evaluating spatial patterns of seasonal ozone exposure and incidence of respiratory emergency room visits in Dallas-Fort Worth
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
Object Type:
Article
System:
The UNT Digital Library
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels
This article proposes a software framework for identifying the percentage and sources of communication non-determinism.
Date:
May 18, 2021
Creator:
Chapp, Dylan; Tan, Nigel; Bhowmick, Sanjukta & Taufer, Michela
Object Type:
Article
System:
The UNT Digital Library
Event-Driven Deep Learning for Edge Intelligence (EDL-EI)
Article on deep-learning framework for edge intelligence EDL-EI (event-driven deep learning for edge intelligence). To verify the proposed framework, the authors include a case study of air-quality scenarios based for the most polluted cities in South Korea and China.
Date:
September 8, 2021
Creator:
Shah, Sayed Khushal; Tariq, Zeenat; Lee, Jeehwan & Lee, Yugyung
Object Type:
Article
System:
The UNT Digital Library
A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls
This article presents the results of a prospective study investigating a proof-of-concept, smartphone-based, online system for fall detection and notification. Apart from functioning as a practical fall monitoring instrument, this system may serve as a valuable research tool, enable future studies to scale their ability to capture fall-related data, and help researchers and clinicians to investigate real-falls.
Date:
August 10, 2021
Creator:
Harari, Yaar; Shawen, Nicholas; Mummidisetty, Chaithanya K.; Albert, Mark & Kording, Konrad P.
Object Type:
Article
System:
The UNT Digital Library
Deep learning for peptide identification from metaproteomics datasets
This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date:
July 8, 2021
Creator:
Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
Object Type:
Article
System:
The UNT Digital Library
An experimental design to study decommitment in a collaborative multi-agent system in a scheduling domain
This article describes the theoretical background and experimental design of new research based on previous multi-agent research on collaborative agents. The research extends the concept of agent decommitment into a resource scheduling domain. The problem is no longer time constrained, however, the number of agents is increased dramatically. The actual experimentation is yet to be performed. The authors state that results of the experimentation will be reported in a future article.
Date:
October 4, 2017
Creator:
Van Dyne, Michele & Tsatsoulis, Costas
Object Type:
Article
System:
The UNT Digital Library
Attention-Based Dense Point Cloud Reconstruction From a Single Image
Article proposes a two-stage training dense point cloud generation network.
Date:
September 23, 2019
Creator:
Lu, Qiang; Xiao, Mingjie; Lu, Yiyang; Yuan, Xiaohui & Yu, Ye
Object Type:
Article
System:
The UNT Digital Library
Security and Privacy in Emerging Wireless Networks
Introduction to a special issue of the journal Security and Communication Networks covering security and privacy in emerging wireless networks.
Date:
November 20, 2017
Creator:
Yang, Qing; Lu, Rongxing; Challal, Yacine & Laurent, Maryline
Object Type:
Article
System:
The UNT Digital Library
The Application of BP Neural Networks to Analysis the National Vulnerability
Article uses the analytic hierarchy process (AHP) and natural breakpoint method (NBM) to implement an AHP-NBM comprehensive evaluation model to assess the national vulnerability to climate change.
Date:
2019
Creator:
Zhao, Guodong; Zhang, Yuewei; Shi, Yiqi; Lan, Haiyan & Yang, Qing
Object Type:
Article
System:
The UNT Digital Library
Adaptive and Non Adaptive Long Term Evolution Fractional Frequency Reuse Mechanisms Mobility Performance
Article proposes a performance metric and evaluates an existing adaptation process that dynamically adjusts to optimal network performance determined by Fractional Frequency Reuse (FFR) mechanism with mobile users.
Date:
February 28, 2018
Creator:
Sawant, Uttara & Akl, Robert G.
Object Type:
Article
System:
The UNT Digital Library
Erratum for Vilo et al., Draft Genome Sequence of Cupriavidus sp. Strain SK-3, a 4-Chlorobiphenyl- and 4-Chlorobenzoic Acid-Degrading Bacterium
Erratum for the article "Draft Genome Sequence of Cupriavidus sp. Strain SK-3, a 4-Chlorobiphenyl- and 4-Chlorobenzoic Acid-Degrading Bacterium".
Date:
July 31, 2014
Creator:
Vilo, Claudia A.; Benedik, Michael J.; Ilori, Matthew Olusoji & Dong, Qunfeng
Object Type:
Article
System:
The UNT Digital Library
A Lightweight Three-Factor User Authentication Protocol for the Information Perception of IoT
Article proposes a lightweight authentication protocol based on password, smart card and biometric identification that achieves mutual authentication among User, GWN and sensor node.
Date:
2019
Creator:
Kou, Liang; Shi, Yiqi; Zhang, Liguo; Liu, Duo & Yang, Qing
Object Type:
Article
System:
The UNT Digital Library
A Performance Conserving Approach for Reducing Memory Power Consumption in Multi-Core Systems
Article proposes a strategy called Dynamic Bank Partitioning (DBP), which allocates memory banks to different applications based on their memory access characteristic, and also proposes an adaptive method to dynamically select an optimal page policy for each bank according to the characteristics of memory accesses that each bank receives to further reduce power consumption.
Date:
August 29, 2018
Creator:
Juan Fang; Lu, Jiajia; Wang, Mengxuan & Zhao, Hui
Object Type:
Article
System:
The UNT Digital Library
3D-FHNet: Three-Dimensional Fusion Hierarchical Reconstruction Method for Any Number of Views
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
Object Type:
Article
System:
The UNT Digital Library
Genome-Resolved Proteomic Stable Isotope Probing of Soil Microbial Communities Using 13CO2 and 13C-Methanol
Article describes experiment where proteomic sable isotope probing (SIP) was combined with targeted metagenomic binning to reconstruct metagenome-assembled genomes (MAGs) of the microorganisms producing labeled proteins. Carbon flows were tracked from 13CO2 to the rhizosphere communities of Zea mays, Triticum aestivum, and Arabidopsis thaliana.
Date:
December 6, 2019
Creator:
Li, Zhou; Yao, Qiuming; Guo, Xuan; Crits-Christoph, Alexander; Mayes, Melanie A.; Hervey, William Judson IV et al.
Object Type:
Article
System:
The UNT Digital Library
Social- and Content-Aware Prediction for Video Content Delivery
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
Object Type:
Article
System:
The UNT Digital Library
Hidden Markov model-based activity recognition for toddlers
Article describes study which sought to evaluate methods for activity recognition for toddlers.
Date:
March 5, 2020
Creator:
Albert, Mark; Sugianto, Albert; Nickele, Katherine; Zavos, Patricia; Sindu, Pinky; Ali, Munazza et al.
Object Type:
Article
System:
The UNT Digital Library
Modeling the 2013 Zika Outbreak in French Polynesia: Intervention Strategies
Paper presents a model that simulates the 2013–2014 French Polynesia Zika outbreak, incorporating the temperature dependent mosquito ecology and the local transit network (flights and ferries), highlighting the importance of human travel patterns and mosquito population dynamics in a disease outbreak.
Date:
August 24, 2018
Creator:
Gwalani, Harsha; Hawamdeh, Faris; Mikler, Armin R. & Xiong, Katherine
Object Type:
Article
System:
The UNT Digital Library
Epidemiological modelling of vaccination and reduced funeral rites interventions on the peproduction number, Râ‚€ of Ebola virus disease in West Africa
This article examines the impacts of control measures on the reproduction number of the Ebola virus using a mathematically-based computational model. Specifically, the authors study the effects of vaccination and reduced funeral rites. This model could be used to forecast the duration of an Ebola epidemic in any country.
Date:
July 25, 2018
Creator:
Akwafuo, Sampson; Guo, Xuan & Mikler, Armin R.
Object Type:
Article
System:
The UNT Digital Library