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

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
Object Type: Poster
System: The UNT Digital Library

Classifying Drug Resistance in the NCI60 Cancer Cell Lines Based on the mRNA Expression Levels of the 48 ABC Transporters

Poster for the 2014 MCBIOS Conference. This poster discusses classifying drug resistance in the NCI60 cancer cell lines based on the mRNA expression levels of the 48 ABC transporters.
Date: March 2014
Creator: Alshammari, Sultanah M.; Urity, Vinoo & Azad, Rajeev K.
Object Type: Poster
System: The UNT Digital Library
Predicting Subjectivity Orientation of Online Forum Threads (open access)

Predicting Subjectivity Orientation of Online Forum Threads

This book chapter discusses predicting subjectivity orientation of online forum threads.
Date: March 2013
Creator: Biyani, Prakhar; Caragea, Cornelia & Mitra, Prasenjit
Object Type: Book Chapter
System: The UNT Digital Library
Secure Embedded Platform Networked Automotive Systems (open access)

Secure Embedded Platform Networked Automotive Systems

This paper discusses secure embedded platforms for networked automotive systems.
Date: March 2011
Creator: Gomathisankaran, Mahadevan & Namuduri, Kamesh
Object Type: Paper
System: The UNT Digital Library
A Comparison of Least Squares Regression and Geographically Weighted Regression Modeling of West Nile Virus Risk Based on Environmental Parameters (open access)

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

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.
Object Type: Article
System: The UNT Digital Library
Computational Models for Incongruity Detection in Humour (open access)

Computational Models for Incongruity Detection in Humour

In this paper, the authors explore several computational models for incongruity resolution.
Date: March 2010
Creator: Mihalcea, Rada, 1974-; Strapparava, Carlo, 1962- & Pulman, Stephen
Object Type: Paper
System: The UNT Digital Library
On the security of the Courtois-Finiasz-Sendrier signature (open access)

On the security of the Courtois-Finiasz-Sendrier signature

This article proves that a variant of the Courtois-Finiasz-Sendrier signature is strongly existentially unforgeable under chosen message attack in the random oracle model, assuming hardness of the Permuted Goppa Syndrome Decoding Problem (also known as the Niederreiter problem).
Date: March 20, 2018
Creator: Morozov, Kirill; Roy, Partha Sarathi; Steinwandt, Rainer & Xu, Rui
Object Type: Article
System: The UNT Digital Library
Impact of Mobility on Convergence Rate in a Wireless Sensor Network (open access)

Impact of Mobility on Convergence Rate in a Wireless Sensor Network

This paper shows that introducing mobility increases the rate of convergence in partially connected and disconnected wireless sensor networks (WSN).
Date: March 22, 2017
Creator: Norouzi Kandalan, Roya; Singh, Ramanpreet; Namuduri, Kamesh; Varanasi, Murali R. & Buckles, Bill
Object Type: Paper
System: The UNT Digital Library

Comparison of Machine Learning Algorithms for Identifying Cancer Types

Poster for the 2014 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Annual Conference. This poster discusses a comparison of machine learning algorithms for identifying cancer types.
Date: March 2014
Creator: Saxena, Garima; Helsing, Joseph; Reyes, Omar Costilla & Azad, Rajeev K.
Object Type: Poster
System: The UNT Digital Library
Evaluation of the RDP Classifier Accuracy Using 16S rRNA Gene Variable Regions (open access)

Evaluation of the RDP Classifier Accuracy Using 16S rRNA Gene Variable Regions

This article uses full-length 16S rRNA gene alignments from the SILVA database to simulate the PCR products of the combined variable regions.
Date: March 12, 2012
Creator: Vilo, Claudia A. & Dong, Qunfeng
Object Type: Article
System: The UNT Digital Library