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Clayton Johnson
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2020 – today
- 2022
- [j5]Ram B. Basnet, Clayton Johnson, Tenzin Doleck
:
Dropout prediction in Moocs using deep learning and machine learning. Educ. Inf. Technol. 27(8): 11499-11513 (2022) - [j4]Shehenaz Shaik, Jacob Hall, Clayton Johnson, Qian Wang, Robert Sharp, Sanjeev Baskiyar:
PFogSim: A simulator for evaluation of mobile and hierarchical fog computing. Sustain. Comput. Informatics Syst. 35: 100736 (2022) - 2021
- [j3]Clayton Johnson, Bishal Khadka, Ethan Ruiz, James Halladay
Application of Deep Learning on the Characterization of Tor Traffic using Time based Features. J. Internet Serv. Inf. Secur. 11(1): 44-63 (2021) - 2020
- [j2]Clayton Johnson, Bishal Khadka, Ram B. Basnet, Tenzin Doleck:
Towards Detecting and Classifying Malicious URLs Using Deep Learning. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 11(4): 31-48 (2020)
2010 – 2019
- 2019
- [j1]Ram B. Basnet, Riad Shash, Clayton Johnson, Lucas Walgren, Tenzin Doleck:
Towards Detecting and Classifying Network Intrusion Traffic Using Deep Learning Frameworks. J. Internet Serv. Inf. Secur. 9(4): 1-17 (2019)
1970 – 1979
- 1975
- [c1]Clayton Johnson:
IBM 3850: mass storage system. AFIPS National Computer Conference 1975: 509-514
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last updated on 2024-04-25 05:39 CEST by the dblp team
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