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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
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