no code implementations • 14 Mar 2023 • Nafiul Rashid, Trier Mortlock, Mohammad Abdullah Al Faruque
SELF-CARE uses a learning-based classifier to process sensor features and model the environmental variations in sensing conditions known as the noise context.
no code implementations • 8 May 2022 • Nafiul Rashid, Trier Mortlock, Mohammad Abdullah Al Faruque
Detecting human stress levels and emotional states with physiological body-worn sensors is a complex task, but one with many health-related benefits.
no code implementations • 23 Feb 2022 • Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque
Autonomous vehicles use multiple sensors, large deep-learning models, and powerful hardware platforms to perceive the environment and navigate safely.
1 code implementation • 17 Jan 2022 • Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque
To address these limitations, we propose HydraFusion: a selective sensor fusion framework that learns to identify the current driving context and fuses the best combination of sensors to maximize robustness without compromising efficiency.
no code implementations • 17 Sep 2021 • Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu, Pramod P. Khargonekar, Mohammad A. Al Faruque
In this paper, we detail the cognitive digital twin as the next stage of advancement of a digital twin that will help realize the vision of Industry 4. 0.