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Temporal anomaly detection on IIoT-enabled manufacturing
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 …
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 …
training reforms, a competency-based assessment method is proposed in this paper. First …
Adaptive error bounded piecewise linear approximation for time-series representation
Error-bounded piecewise linear approximation (l∞-PLA) has been proven effective in
addressing challenges in data management and analytics. It works by approximating the …
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
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 …
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 …
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 …
remarkable development of time series, engendering complex datasets of varied …