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Franco van Wyk
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2020 – today
- 2022
- [j6]Jeremy Watts, Franco van Wyk, Shahrbanoo Rezaei, Yiyang Wang, Neda Masoud, Anahita Khojandi:
A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection. IEEE Trans. Intell. Transp. Syst. 23(12): 22884-22894 (2022) - 2020
- [j5]Franco van Wyk, Yiyang Wang, Anahita Khojandi, Neda Masoud:
Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles. IEEE Trans. Intell. Transp. Syst. 21(3): 1264-1276 (2020)
2010 – 2019
- 2019
- [j4]Franco van Wyk, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran:
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier. Int. J. Medical Informatics 122: 55-62 (2019) - [j3]Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran:
A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. 3(2): 245-263 (2019) - [j2]Franco van Wyk, Anahita Khojandi, Brian Williams, Don Macmillan, Robert L. Davis, Daniel A. Jacobson, Rishikesan Kamaleswaran:
Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. J. Heal. Informatics Res. 3(2): 264-265 (2019) - [j1]Franco van Wyk, Anahita Khojandi, Rishikesan Kamaleswaran:
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study. IEEE J. Biomed. Health Informatics 23(3): 978-986 (2019) - [c1]Franco van Wyk, Anahita Khojandi, Neda Masoud:
A Path Towards Understanding Factors Affecting Crash Severity in Autonomous Vehicles Using Current Naturalistic Driving Data. IntelliSys (2) 2019: 106-120
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