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open access

Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation

Description: Article reviews the major preprocessing, data‑management, machine‑learning, and deep‑learning approaches used for Alzheimer’s disease diagnosis from multimodal neuroimaging data, highlighting the persistent inability of current methods to distinguish stable from progressive MCI and their limited clinical adoption. Article shows through a reproducibility study that open‑source ML models lose generalizability across cohorts even under controlled conditions, underscoring key methodological challen… more
Date: March 21, 2025
Creator: Aghdam, Maryam Akhavan; Bozdag, Serdar & Saeed, Farad
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

Throughput Optimization in Multi-Cell CDMA Networks

Description: In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.
Date: March 2005
Creator: Akl, Robert G.; Naraghi-Pour, Mort & Hegde, Manju V.
Item Type: Refine your search to only Paper
Partner: UNT College of Engineering

Data Mining Techniques for Predicting Breast Cancer Survivability Among Women in the United States

Description: Poster for the 2014 UNT Graduate Exhibition in the Computer Science and Information Technology category. This poster discusses data mining techniques for predicting breast cancer survivability among women in the United States.
Date: March 1, 2014
Creator: Alshammari, Sultanah M.; Shah, Tawfiq M. & Huang, Yan
Item Type: Refine your search to only Poster
Partner: UNT College of Engineering
open access

Automatic trend detection: Time-biased document clustering

Description: 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
Item Type: Refine your search to only Article
Partner: University of North Texas
open access

Computing microRNA-gene interaction networks in pan-cancer using miRDriver

Description: This article is a study where the authors integrated the multi-omics datasets such as copy number aberration, DNA methylation, gene and microRNA expression to identify the signature microRNA-gene associations from frequently aberrated DNA regions across pan-cancer utilizing a LASSO-based regression approach.
Date: March 8, 2022
Creator: Bose, Banabithi; Moravec, Matthew & Bozdag, Serdar
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates

Description: Data management plan for the grant, "REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates." TaMaLe (Testing and Machine Learning for Context-Driven Systems), a renewal Research Experience for Undergraduates (REU) Site at University of North Texas, engages 10 undergraduate students for 10 weeks with problems in the context-driven system domain. The students explore research problems to improve the reliability and security of context-d… more
Date: 2022-03-01/2025-02-28
Creator: Bryce, Renee & Tunc, Cihan
Item Type: Refine your search to only Text
Partner: UNT College of Engineering
open access

The Decomposition of Human-Written Book Summaries

Description: In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.
Date: March 2009
Creator: Ceylan, Hakan & Mihalcea, Rada, 1974-
Item Type: Refine your search to only Paper
Partner: UNT College of Engineering
open access

SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and beyond Massive MIMO Networks

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

6G Networks and the AI Revolution-Exploring Technologies, Applications, and Emerging Challenges

Description: This article presents a hierarchical exploration of 6G networks, poised at the forefront of the next revolution in wireless technology. The authors delve into the technological advancements that underpin the need for 6G, examining its key features, benefits, and key enabling technologies.
Date: March 15, 2024
Creator: Chataut, Robin; Nankya, Mary & Akl, Robert G.
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
open access

Relating Boolean Gate Truth Tables to One-Way Functions

Description: In this paper, the authors present a schema to build one way functions from a family of Boolean gates. Moreover, the authors relate characteristics of these Boolean gate truth tables to properties of the derived one-way functions.
Date: March 3, 2008
Creator: Gomathisankaran, Mahadevan & Tyagi, Akhilesh
Item Type: Refine your search to only Paper
Partner: UNT College of Engineering
open access

A Comparison of Least Squares Regression and Geographically Weighted Regression Modeling of West Nile Virus Risk Based on Environmental Parameters

Description: This article discusses the effectiveness of utilizing local spatial variations in environmental data to uncover the statistical relationships between West Nile Virus (WNV) risk and environmental factors.
Date: March 28, 2017
Creator: Kala, Abhishek K.; Tiwari, Chetan; Mikler, Armin R. & Atkinson, Samuel F.
Item Type: Refine your search to only Article
Partner: UNT College of Arts and Sciences
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