Results 221 to 230 of about 1,476,903 (264)

Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment. [PDF]

Sci Rep
Alzakari SA, Alamgeer M, Alashjaee AM, Abdullah M, Abdul Sattar KN, Alshuhail A, Alzahrani AA, Alkharashi A.   +7 more
europepmc   +1 more source

Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusion. [PDF]

J Transl Med
Zhu R, Pan WX, Liu JX, Shang JL.
europepmc   +1 more source

When and why does motor preparation arise in recurrent neural network models of motor control? [PDF]

Elife
Schimel M, Kao TC, Hennequin G.
europepmc   +1 more source

SegElegans: Instance segmentation using dual convolutional recurrent neural network decoder in Caenorhabditis elegans microscopic images.

Comput Biol Med
Castro PEL, Kounakis K, Garví AG, Gkikas I, Tsiamantas I, Tavernarakis N, Sánchez-Salmerón AJ.   +6 more
europepmc   +1 more source

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Hierarchically Gated Recurrent Neural Network for Sequence Modeling

Neural Information Processing Systems, 2023
Transformers have surpassed RNNs in popularity due to their superior abilities in parallel training and long-term dependency modeling. Recently, there has been a renewed interest in using linear RNNs for efficient sequence modeling.
Zhen Qin, Songlin Yang, Yiran Zhong
semanticscholar   +1 more source

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

IEEE transactions on intelligent transportation systems (Print), 2021
Traffic prediction is a core problem in the intelligent transportation system and has broad applications in the transportation management and planning, and the main challenge of this field is how to efficiently explore the spatial and temporal ...
Kan Guo, Yongli Hu, Z. Qian, Hao Liu, Kecheng Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin   +7 more
semanticscholar   +1 more source

Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

Knowledge Discovery and Data Mining, 2019
Industry devices (i.e., entities) such as server machines, spacecrafts, engines, etc., are typically monitored with multivariate time series, whose anomaly detection is critical for an entity's service quality management.
Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, Dan Pei   +5 more
semanticscholar   +1 more source

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network

Energy, 2021
To reduce the influence of the measurement data noise on state of charge (SOC) estimation, a novel neural network method is proposed by combining an input data processing method with the conventional gated recurrent unit recurrent neural network (GRU-RNN)
Junxiong Chen, Xiong Feng, Lin Jiang, Qiao Zhu   +3 more
semanticscholar   +1 more source

Recurrent Neural Network

2021
Recurrent neural networks (RNN) are very powerful types of neural networks and are the most promising algorithm because they are the only ones with an internal memory (Boca Raton Mhaskar et al. Learning functions: when is deep better than shallow. arXiv:1603.00988, 2016).
G. R. Kanagachidambaresan, Adarsha Ruwali, Debrup Banerjee, Kolla Bhanu Prakash   +3 more
openaire   +2 more sources