Nathan Smith - researchr alias

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Viewing Publication 1 - 15 from 15

2023

A machine learning model to predict preeclampsia in pregnant womenJanet Louise Wesson, Nathan Smith. centeris 2024: 1645-1652 [doi]

2022

Using Discrete-Event Simulation to Analyze the Impact of Variation on Surgical Training ProgramsFumiya Abe-Nornes, Samir Agarwala, Nathan Smith, Rachel Zhang, Amy Cohn, Angela Thelen, Rishindra Reddy, Brian George. wsc 2022: 985-996 [doi]

2020

2014

Information Theory Analysis of Cascading Process in a Synthetic Model of Fluid TurbulenceMassimo Materassi, Giuseppe Consolini, Nathan Smith, Rossana De Marco. entropy, 16(3):1272-1286, 2014. [doi]

2008

Evaluation of the Effects of User-Sensitivity on Text SummarizationHien Nguyen, Eugene Santos Jr., Russell Jacob, Nathan Smith. webist 2008: 927-931 [doi]

Prototype of a social networking application in a multi-hop autonomous ad hoc networkNathan Smith, Jeff Bonta. mass 2008: 535-537 [doi]

2007

iRun: Interactive Rendering of Large Unstructured GridsHuy T. Vo, Steven P. Callahan, Nathan Smith, Cláudio T. Silva, William Martin, David Owen, David Weinstein. egpgv 2007: 93-100 [doi]

2005

The Limits of Motion Prediction Support for Ad hoc Wireless Network PerformanceStephen Bush, Nathan Smith. In Proceedings of the 2005 International Conference on Wireless Networks (ICWN-05). 2005:

The Limits of Motion Prediction Support for Ad hoc Wireless Network PerformanceStephen Bush, Nathan Smith. In Proceedings of the 2005 International Conference on Wireless Networks (ICWN-05). 2005:

The Limits of Motion Prediction Support for Ad hoc Wireless Network PerformanceStephen Bush, Nathan Smith. icwn 2005: 495-501

2002

Network modeling and simulation: a motion environment for wireless communications systems simulationsNathan Smith, Trefor J. Delve. wsc 2002: 671-678 [doi]

2001

Use of DaSSF in a scalable multiprocessor wireless simulation architectureTrefor J. Delve, Nathan Smith. wsc 2001: 1321-1329 [doi]

2000

Efficient ML training of CDHMM parameters based on prior evolution, posterior intervention and feedbackQiang Hue, Nathan Smith, Bin Ma. icassp 2000: 1001-1004 [doi]

Data-dependent kernels in svm classification of speech patternsNathan Smith, Mahesan Niranjan. interspeech 2000: 297-300 [doi]

1999

Implementing Virtual Robots in Java3D using a Behavior Based ArchitectureNathan Smith, Christopher A. Egert, Elisabeth Ciddihy, Deborah Walters. webnet 1999: 975-980

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