4 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.SP2024★ 4 cited
Improving Rehabilitative Assessment with Statistical and Shape Preserving Surrogate Data and Singular Spectrum Analysis
T. K. M. Lee, H. W. Chan, K. H. Leo +3
Time series data are collected in temporal order and are widely used to train systems for prediction, modeling and classification to name a few. These systems require large amounts…
eess.SP2024★ 1 cited
Fidelitous Augmentation of Human Accelerometric Data for Deep Learning
Tracey K. M. Lee, H. W. Chan, K. H. Leo +3
Time series (TS) data have consistently been in short supply, yet their demand remains high for training systems in prediction, modeling, classification, and various other applicat…
cs.MA2023
Crowd Modeling and Control via Cooperative Adaptive Filtering
Zirui Wan, Saeid Sanei
This paper introduces a crowd modeling and motion control approach that employs diffusion adaptation within an adaptive network. In the network, nodes collaboratively address speci…