Results 271 to 280 of about 1,720,482 (294)

Intelligent tool wear prediction based on Informer encoder and stacked bidirectional gated recurrent unit

Robotics and Computer-Integrated Manufacturing, 2022
Hongyu Jin
exaly  

Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors

Journal of Rock Mechanics and Geotechnical Engineering, 2023
Zhilu Chang, Filippo Catani, Chuang-Bing Zhou   +2 more
exaly  

Predicting survival in the intensive care unit

Current Problems in Surgery, 1997
J P, Hunt, A A, Meyer
openaire   +2 more sources

A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network

IEEE Transactions on Intelligent Transportation Systems, 2022
Wanneng Shu, Ken Cai, Neal N. Xiong
exaly  

Multi-step ahead voltage prediction and voltage fault diagnosis based on gated recurrent unit neural network and incremental training

Energy, 2023
Hongqian Zhao, Zheng Chen, Xing Shu
exaly  

State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network

Journal of Power Sources, 2022
Zheng Chen, Hongqian Zhao, Yuanjian Zhang   +2 more
exaly  

Evolutionary gate recurrent unit coupling convolutional neural network and improved manta ray foraging optimization algorithm for performance degradation prediction of PEMFC

Applied Energy, 2023
Chu Zhang, Jie Ji, Muhammad Shahzad Nazir   +2 more
exaly  

Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics

Applied Soft Computing Journal, 2023
Ruiguan Lin, Huawei Wang, Changchang Che
exaly  

Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models

Gondwana Research, 2023
Zhilu Chang, Jinsong Huang, Kushanav Bhuyan   +2 more
exaly  

Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction

IEEE Transactions on Neural Networks and Learning Systems, 2020
Ruoheng Wang, Chaoshun Li, Wenlong Fu
exaly