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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
System:
The UNT Digital Library
Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning
Article presents research that creates an automatic repetition counting system that is flexible enough to measure multiple distinct and repeating movements during physical therapy without being trained on the specific motion.
Date:
October 10, 2020
Creator:
Zelman, Samuel; Dow, Michael; Tabashum, Thasina; Xiao, Ting & Albert, Mark
System:
The UNT Digital Library
Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations
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
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
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.
System:
The UNT Digital Library
Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks
Article discussing a resource efficient and scalable approach to routing in large communication networks.
Date:
March 25, 2002
Creator:
Amin, Kaizar A. & Mikler, Armin R.
System:
The UNT Digital Library
agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers
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
System:
The UNT Digital Library
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation
Article presents a new benchmark for natural language inference in which negation plays a critical role and shows that state-of-the-art transformers struggle making inference judgments with the new pairs.
Date:
November 2020
Creator:
Hossain, Md Mosharaf; Dutta, Pranoy; Kao, Tiffany; Wei, Elizabeth; Blanco, Eduardo & Kovatchev, Venelin
System:
The UNT Digital Library
Annotating Educational Questions for Student Response Analysis
Article introduces the first taxonomy and annotated educational corpus of questions that aims to help with the analysis of student responses.
Date:
May 2018
Creator:
Nielsen, Rodney D. & Godea, Andreea
System:
The UNT Digital Library
Annotating If Authors of Tweets are Located in the Locations They Tweet About
Article presented at the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). The study investigates spatial information of tweets whereby the authors present a corpus of tweets annotated with temporally-anchored spatial information involving the author.
Date:
May 2018
Creator:
Doudagiri, Vivek; Vempala, Alakananda & Blanco, Eduardo
System:
The UNT Digital Library
Annotating Temporally-Anchored Spatial Knowledge by Leveraging Syntactic Dependencies
Article presenting a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes.
Date:
May 2018
Creator:
Vempala, Alakananda & Blanco, Eduardo
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
System:
The UNT Digital Library
Architecture Support for 3D Obfuscation
Article discussing research on architecture support for 3D obfuscation.
Date:
April 3, 2006
Creator:
Gomathisankaran, Mahadevan & Tyagi, Akhilesh
System:
The UNT Digital Library
Artificial Intelligence for Colonoscopy: Past, Present, and Future
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.
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
System:
The UNT Digital Library
Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation
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
System:
The UNT Digital Library
Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies
Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.
Date:
January 21, 2019
Creator:
Alohaly, Manar; Takabi, Hassan & Blanco, Eduardo
System:
The UNT Digital Library
Automatic Identification of Research Articles from Crawled Documents
Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.
Date:
February 28, 2014
Creator:
Caragea, Cornelia; Wu, Jian; Williams, Kyle; Das Gollapalli, Sujatha; Khabsa, Madian; Teregowda, Pradeep et al.
System:
The UNT Digital Library
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
System:
The UNT Digital Library
Bacterial Community Profiling of Milk Samples as a Means to Understand Culture-Negative Bovine Clinical Mastitis
Article discussing a study that was conducted to understand the basis of a bacterial infection that is common among dairy cows.
Date:
April 25, 2013
Creator:
Kuehn, Joanna S.; Gorden, Patrick J.; Munro, Daniel; Rong, Ruichen; Dong, Qunfeng; Plummer, Paul J. et al.
System:
The UNT Digital Library
BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases
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
System:
The UNT Digital Library
Bayesian analysis of complex mutations in HBV, HCV, and HIV studies
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
System:
The UNT Digital Library
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
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
System:
The UNT Digital Library
Characteristic Male Urine Microbiomes Associate with Asymptomatic Sexually Transmitted Infection
Article discussing research on characteristic male urine microbiomes associated with asymptomatic sexually transmitted infection.
Date:
November 2010
Creator:
Nelson, David E.; Van Der Pol, Barbara; Dong, Qunfeng; Revanna, Kashi V.; Fan, Baochang; Easwaran, Shraddha et al.
System:
The UNT Digital Library