1 citations · 3 across the 9 of their papers we have counts for
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SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification
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. However…
Robust and Scalable Hyperdimensional Computing With Brain-Like Neural Adaptations
Junyao Wang, Mohammad Abdullah Al Faruque
The Internet of Things (IoT) has facilitated many applications utilizing edge-based machine learning (ML) methods to analyze locally collected data. Unfortunately, popular ML algor…
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
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. Edge-based machine le…
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification
Junyao Wang, Sitao Huang, Mohsen Imani
Brain-inspired hyperdimensional computing (HDC) has been recently considered a promising learning approach for resource-constrained devices. However, existing approaches use static…