Results 231 to 240 of about 276,034 (269)
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Prediction of Remaining Useful Life of Rolling Bearings Based on Multiscale Efficient Channel Attention CNN and Bidirectional GRU

IEEE Transactions on Instrumentation and Measurement
To effectively capture both local and global features while retaining temporal dependencies in time-series data and to improve the accuracy of remaining useful life (RUL) prediction of rolling bearings, this article proposes a hybrid architecture based ...
Ping Ma   +4 more
semanticscholar   +1 more source

Intelligent GRU-RIC Position-Loop Feedforward Compensation Control Method With Application to an Ultraprecision Motion Stage

IEEE Transactions on Industrial Informatics
In the realm of ultraprecision motion control, achieving high tracking accuracy, great trajectory generalization, and robust disturbance rejection simultaneously remains a challenge.
R. Zhou   +4 more
semanticscholar   +1 more source

Centralized CNN–GRU Model by Federated Learning for COVID-19 Prediction in India

IEEE Transactions on Computational Social Systems
In 2019, the corona virus was found in Wuhan, China. The corona virus has traveled several countries in the world from the beginning of 2020. The early estimation of COVID-19 cases is one of the efficient approaches to control the pandemic.
Mredulraj S. Pandianchery   +4 more
semanticscholar   +1 more source

Grulla común – Grus grus (Linnaeus, 1758)

2016
A comprehensive review of the natural history of the Common Crane Grus grus in Spain.
openaire   +1 more source

[Peracute mortality in common cranes (Grus grus)].

Berliner und Munchener tierarztliche Wochenschrift, 2000
Out of a nonbreeding group of cranes, 10 birds died peracutely at the end of April 1998. The pathological investigation showed changes in the intestine, liver and kidneys caused probably by an intoxication; but corresponding analyses did not result in a specified poison. The proof of E. coli, Cl.
H, Prange   +5 more
openaire   +1 more source

Research on a Bearing Fault Diagnosis Method Based on a CNN-LSTM-GRU Model

Machines
In view of the problem of the insufficient performance of deep learning models in time series prediction and poor comprehensive space–time feature extraction, this paper proposes a diagnostic method (CNN-LSTM-GRU) that integrates convolutional neural ...
Kaixu Han, Wenhao Wang, Jun Guo
semanticscholar   +1 more source

Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features

Engineering applications of artificial intelligence, 2023
Zeni Zhao   +8 more
semanticscholar   +1 more source

?????????????????????? ???????????? ??????????????, Grus grus, ???? ?????????????? ?????????????? ?? ?????????????????????? ???? ???????????????? ??????????????

2009
???? ?????????????????? ???????????? 13 ???????????????? ???????????????????? ???? ???????????????????????? ???????????? ??????????????, Grus grus (Linnaeus, 1758), ???? ?????????????? ?????????????? ??????????????????????, ?????? ???????????????? ?????? ?? ?????????????????? ?????????????????? (???? ?????? ????????????) ???????????????????? ?????? ????
openaire   +1 more source

Common Crane (Grus grus)

2020
George W. Archibald   +3 more
openaire   +1 more source

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