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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
Object Type:
Article
System:
The UNT Digital Library
Personal Internet of Things (PIoT): What Is It Exactly?
This article provides a big picture of PIoT architecture, vision, and future research scope. The exploratory study of PIoT is in its infancy, which will explore the expansion of new use cases, service requirements, and the proliferation of PIoT devices. This is a preprint version of this article.
Date:
May 14, 2021
Creator:
Sahoo, Biswa P. S.; Mohanty, Saraju P.; Puthal, Deepak & Pillai, Prashant
Object Type:
Article
System:
The UNT Digital Library
PhenoGeneRanker: Gene and Phenotype Prioritization Using Multiplex Heterogeneous Networks
Article
Date:
July 20, 2021
Creator:
Dursun, Cagatay; Kwitek, Anne E. & Bozdag, Serdar
Object Type:
Article
System:
The UNT Digital Library
Recent advances in processing negation
This article surveys previous work on negation with an emphasis on computational approaches.
Date:
December 17, 2021
Creator:
Morante, Roser & Blanco, Eduardo
Object Type:
Article
System:
The UNT Digital Library
SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and beyond Massive MIMO Networks
This article proposes a novel preconditioned and accelerated Gauss–Siedel algorithm referred to as Symmetric Successive Overrelaxation Preconditioned Gauss-Seidel (SSORGS) to address the signal detection challenges associated with massive MIMO technology.
Date:
March 1, 2021
Creator:
Chataut, Robin; Akl, Robert G.; Dey, Utpal Kumar & Robaei, Mohammadreza
Object Type:
Article
System:
The UNT Digital Library
Weak-Light Image Enhancement Method Based on Adaptive Local Gamma Transform and Color Compensation
This article proposes a correction method for image enhancement models based on an adaptive local gamma transformation and color compensation inspired by the illumination reflection model. It is demonstrated that the proposed method adaptively reduces the influence of uneven illumination to avoid overenhancement and improves the visual effect of low-light images.
Date:
June 25, 2021
Creator:
Wang, Wencheng; Yuan, Xiaohui; Chen, Zhenxue; Wu, Xiaojin & Gao, Zairui
Object Type:
Article
System:
The UNT Digital Library
Urban land-use analysis using proximate sensing imagery: a survey
This article reviews and summarizes the state-of-the-art methods and publicly available data sets from proximate sensing to support land-use analysis. Discussions highlight the challenges, strategies, and opportunities faced by the existing methods using proximate sensing imagery in urban land-use studies.
Date:
November 30, 2020
Creator:
Qiao, Zhinan & Yuan, Xiaohui
Object Type:
Article
System:
The UNT Digital Library
[Transdisciplinary Ancestral Genomic Research Investigations (TAGRI) II Conference Presentations on Artificial Intelligence in Health Research]
Video recording of Dr. Mark V. Albert's presentation, "Artificial Intelligence and Applications in Genomics Research: Assessment of Mobility in Diverse Patient Populations" and Dr. Heather Wheeler's presentation, "Transcriptome Prediction Performance Across Machine Learning Models and Diverse Ancestries." They were presented at the Transdisciplinary Ancestral Genomic Research Investigations (TAGRI) II Conference held online November 5-6, 2021.
Date:
November 5, 2021
Creator:
Albert, Mark & Wheeler, Heather E.
Object Type:
Video
System:
The UNT Digital Library
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch
Article that introduces Natlog, a lightweight Logic Programming language, sharing Prolog's unification-driven execution model, but with a simplified syntax and semantics. The authors' proof-of-concept Natlog implementation is tightly embedded in the Python-based deep-learning ecosystem with focus on content-driven indexing of ground term datasets. As an overriding of the authors symbolic indexing algorithm, the same function can be delegated to a neural network, serving ground facts to Natlog's resolution engine. The open-source implementation is available as a Python package at t https://pypi.org/project/natlog/.
Date:
September 17, 2021
Creator:
Tarau, Paul
Object Type:
Article
System:
The UNT Digital Library
Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology
Article proposes a Machine Learning (ML) and Deep Learning based system to detect the presence of two critical disease spreading classes of mosquitoes in order to prevent mosquito-borne infection.
Date:
December 21, 2021
Creator:
Rustam, Furqan; Reshi, Aijaz Ahmad; Aljedaani, Wajdi; Alhossan, Abdulaziz; Ishaq, Abid; Shafi, Shabana et al.
Object Type:
Article
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.
Object Type:
Article
System:
The UNT Digital Library
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook
This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.
Date:
October 19, 2021
Creator:
Urs, Namratha; Behpour, Sahar; Georgaras, Angie & Albert, Mark
Object Type:
Article
System:
The UNT Digital Library
Predicting psoriasis using routine laboratory tests with random forest
Article describes how psoriasis is a chronic inflammatory skin disease that affects approximately 125 million people worldwide. The goal of the authors' study is to derive a powerful predictive model for psoriasis disease based on only routine hospital tests.
Date:
October 19, 2021
Creator:
Zhou, Jing; Li, Yuzhen & Guo, Xuan
Object Type:
Article
System:
The UNT Digital Library