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Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data
This article aims to explore new categorization that characterizes the distribution clusters of visceral and subcutaneous adipose tissues (VAT and SAT) measured by magnetic resonance imaging (MRI), to analyze the relationship between the VAT-SAT distribution patterns and the novel body shape descriptors (BSDs), and to develop a classifier to predict the fat distribution clusters using the BSDs.
Date:
February 19, 2021
Creator:
Sun, Jingjing; Xu, Bugao; Lee, Jane & Freeland-Graves, Jeanne H.
System:
The UNT Digital Library
COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset
Article is a study analyzing the global perceptions and perspectives towards COVID-19 vaccination using a worldwide Twitter dataset, natural language processing, and machine learning.
Date:
December 20, 2021
Creator:
Reshi, Aijaz Ahmad; Rustam, Furqan; Aljedaani, Wajdi; Shafi, Shabana; Alhossan, Abdulaziz; Alrabiah, Ziyad et al.
System:
The UNT Digital Library
On Comparing the Similarity and Dissimilarity Between Two Distinct Vehicular Trajectories
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
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
System:
The UNT Digital Library
Visual object tracking: Progress, challenge, and future
Article discusses how visual object tracking aims to continuously localize the target object of interest in a video sequence. To provide the community an overview, in this commentary, the authors discuss visual tracking from different aspects.
Date:
February 21, 2023
Creator:
Zhang, Libo & Fan, Heng
System:
The UNT Digital Library