Multivariate time series sensor feature forecasting using deep bidirectional LSTM

BiLSTM-MLP based hysteresis modeling for soft pneumatic joint actuator

S Liu, M Xu, J Zhao, L Su - Proceedings of the Institution of …, 2024 - journals.sagepub.com
Soft pneumatic joint actuators show great potential in applications such as medical
machinery, wearable devices, and soft grippers due to their inherent compliance. However …
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[PDF] vt.edu

Real-time Risk Prediction Using Temporal Gaze Pattern and Evidence Accumulation

G Yang, O Kaskar, A Sarkar - 2024 - vtechworks.lib.vt.edu
Driver gaze information provides insight into the driver's perception and decision-making
process in a dynamic driving environment. It is important to learn whether driver gaze …
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Prediction of Transmission Line Icing Thickness based on Long Short-Term Memory Network

Y Wan, H Hou, X Bai, J Lv, D Cai… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The frequent occurrence of extreme weather has led to the increasingly serious problem of
ice covering of transmission lines, one of the natural disasters affected by the power grid. It …
被引用次数：1 相关文章
[PDF] rapidoworks.ro

[PDF][PDF] Using Multivariate Multi-Step Bidirectional Long Short-Term Memory (BiLSTM) Networks Time Series Forecasting of Stock Price for Maritime Shipping Company …

A GHAREEB - 2023 - icess.rapidoworks.ro
The COVID-19 pandemic has had a significant impact on the global economy and the
shipping industry. The pandemic has caused a reduction in shipping volumes and rates …
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[PDF] tuhh.de

Generalising AI model performance for Non Destructive Testing in railway systems

G Olm - 35. Forum Bauinformatik, fbi 2024, 2024 - tore.tuhh.de
Maintaining railway systems is an essential task during operation of such public
infrastructure, but the methods have remained unchanged in Germany for decades …
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