no code implementations • 20 Feb 2024 • Junyao Wang, Mohammad Abdullah Al Faruque
Many real-world applications of the Internet of Things (IoT) employ machine learning (ML) algorithms to analyze time series information collected by interconnected sensors.
no code implementations • 13 Nov 2023 • Junyao Wang, Mohammad Abdullah Al Faruque
In this work, we present dynamic HDC learning frameworks that identify and regenerate undesired dimensions to provide adequate accuracy with significantly lowered dimensionalities, thereby accelerating both the training and inference.
no code implementations • 7 Aug 2023 • Junyao Wang, Luke Chen, Mohammad Abdullah Al Faruque
With the rapid evolution of the Internet of Things, many real-world applications utilize heterogeneously connected sensors to capture time-series information.
1 code implementation • 17 Apr 2023 • Junyao Wang, Arnav Vaibhav Malawade, JunHong Zhou, Shih-Yuan Yu, Mohammad Abdullah Al Faruque
Effectively capturing intricate interactions among road users is of critical importance to achieving safe navigation for autonomous vehicles.
no code implementations • 11 Apr 2023 • Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
Cybersecurity has emerged as a critical challenge for the industry.
1 code implementation • 11 Apr 2023 • Junyao Wang, Sitao Huang, Mohsen Imani
Brain-inspired hyperdimensional computing (HDC) has been recently considered a promising learning approach for resource-constrained devices.