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John Ford
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2020 – today
- 2024
- [i1]Zavier Ndum Ndum, Jian Tao, John Ford, Yang Liu:
AutoFLUKA: A Large Language Model Based Framework for Automating Monte Carlo Simulations in FLUKA. CoRR abs/2410.15222 (2024) - 2023
- [c9]John Ford, David Arnold, Jafar Saniie:
Environment Provisioning and Management for Cybersecurity Education. eIT 2023: 368-372 - 2022
- [c8]David Arnold, John Ford, Jafar Saniie:
Machine Learning Models for Cyberattack Detection in Industrial Control Systems. EIT 2022: 166-170 - 2021
- [c7]Shruti Chavan, John Ford, Xinrui Yu, Jafar Saniie:
Plant Species Image Recognition using Artificial Intelligence on Jetson Nano Computational Platform. EIT 2021: 350-354
2010 – 2019
- 2018
- [c6]John Ford, Doug Nierle, Peter Leeds, Thomas Stetz:
Text Mining Narrative Survey Responses to Develop Engagement Scale Items. HICSS 2018: 1-8 - 2015
- [c5]John Ford:
Text Analytic Techniques in Survey Questionnaire Development and Analysis. CogSci 2015 - 2014
- [c4]Trupti Ranka, Mario Garcia-Sanz, Tim Weadon, John Ford:
System identification of the Green Bank Telescope structure and servo system. ACC 2014: 3692-3697 - 2011
- [c3]John Ford:
Text-Based Similarity Measures and Attitude Scale Development. CogSci 2011 - 2010
- [c2]John Ford, Jason Ray:
An application of high-performance reconfigurable computing in radio astronomy signal processing. HPRCTA@SC 2010: 1-7
2000 – 2009
- 2007
- [j1]Peter Willett, David J. Wilton, Basil Hartzoulakis, Raymond Tang, John Ford, David Madge:
Prediction of Ion Channel Activity Using Binary Kernel Discrimination. J. Chem. Inf. Model. 47(5): 1961-1966 (2007) - 2000
- [c1]Doug Matthes, John Ford:
Technique for testing a very high speed mixed signal read channel design. ITC 2000: 965-970
Coauthor Index
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last updated on 2024-11-27 20:26 CET by the dblp team
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