Temporal anomaly detection on IIoT-enabled manufacturing

P Zhan, S Wang, J Wang, L Qu, K Wang, Y Hu… - Journal of Intelligent …, 2021 - Springer
Along with the coming of industry 4.0 era, industrial internet of things (IIoT) plays a vital role
in advanced manufacturing. It can not only connect all equipment and applications in …

Competency-based assessment of pilots' manual flight performance during instrument flight training

H Sun, X Zhou, P Zhang, X Liu, Y Lu, H Huang… - Cognition, Technology & …, 2023 - Springer
A pilot's control behavior has a direct impact on aviation safety. To adapt to new flight
training reforms, a competency-based assessment method is proposed in this paper. First …

Adaptive error bounded piecewise linear approximation for time-series representation

Z Zhou, M Baratchi, G Si, HH Hoos, G Huang - Engineering Applications of …, 2023 - Elsevier
Error-bounded piecewise linear approximation (l∞-PLA) has been proven effective in
addressing challenges in data management and analytics. It works by approximating the …

A framework for similarity search in streaming time series based on spark streaming

BC Giao, PC Vinh - Mobile Networks and Applications, 2022 - Springer
Similarity search in streaming time series is a challenging problem due to tight requirements
in processing streaming data and replying feedback, eg, quickly processing a time-series …

Unsupervised Representation Learning with Semantic of Streaming Time Series

C Ye, Q Ma - International Conference on Web Information Systems …, 2023 - Springer
Abstract Representation learning of time series is common in tasks like data mining and
improves performance in downstream tasks. However, existing methods aren't appropriate …

[PDF][PDF] A Study on Multi-Granularity Representation Learning of Time Series Data

C Ye - 2024 - repository.kulib.kyoto-u.ac.jp
The significant advancement of the Internet and widespread use of sensors has driven the
remarkable development of time series, engendering complex datasets of varied …