Results 241 to 250 of about 2,719,560 (294)

Multi-State Recognition of Electro-Hydraulic Servo Fatigue Testers via Spatiotemporal Fusion and Bidirectional Cross-Attention. [PDF]

Sensors (Basel)
Huang G, Bai S, Yang X, Gao X, Liu P.
europepmc   +1 more source

Hybrid Convolutional-Gated Recurrent Neural Network for Robust Mobile Health Activities Classification. [PDF]

Int J Telemed Appl
Alotaibi R, Reyad O, Karar ME.
europepmc   +1 more source

GCT-BCLN: a bidirectional closed-loop network for nondestructive detection of rice seed vigor using hyperspectral imaging. [PDF]

Front Plant Sci
Yan L, Xu E, Meng X, Jiang S, Liao J, Ren Y, Zhan X, Zou Y.   +7 more
europepmc   +1 more source

Reliable Hardware Sensor and Large Language Model Fusion for Intelligent Short-Term Market Risk Sensing and Prediction. [PDF]

Sensors (Basel)
Zhou Z, Wang N, Xu S, Hua S, Wang H, Liu Y, Li M.   +6 more
europepmc   +1 more source

Prediction of aero engine remaining service life using a bidirectional GRU model with self attention mechanism. [PDF]

Sci Rep
Fu W, Wang H, Sun X, Song Z, Xu S, Xu M, Liu L, Razak NA.   +7 more
europepmc   +1 more source

Comment toxicity detection via a multichannel convolutional bidirectional gated recurrent unit

Neurocomputing, 2021
Abstract Recently, toxicity identification has become the most serious problem in online communities and social networking sites. Therefore, an automatic toxic identification system needs to be developed for preventing and limiting users from these online environments.
Ashok Kumar J, S. Abiramy, Tina Esther Trueman, Erik Cambria   +3 more
openaire   +3 more sources

Industrial process fault diagnosis using dilated convolutional stacking bidirectional gated recurrent unit with high and low-order feature fusion

Chemical Engineering Science
The Convolutional Neural Network (CNN) has been proven to be successful in performing fault detection and diagnosis tasks of industrial processes.
Furong GAO, Ridong Zhang
exaly   +2 more sources

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Hyperspectral Image Classification Based on Bidirectional Gated Recurrent Units

2020
The hyperspectral image classification method based on recurrent neural network (RNN) regards the spectral values of all bands of each pixel as spectral sequences. But a one-way RNN can only focus on current input and past memory states, not future memories. And RNN itself has the problem of severe gradient vanish.
Yong Liu, Hongchang He, Xiaofei Wang 0010, Yu Wang, Runxing Chen   +4 more
openaire   +2 more sources

Detecting Toxicity with Bidirectional Gated Recurrent Unit Networks

2020
As large amounts of data keep being generated by users on social media platforms, some of the information can be considered as harmful. These kinds of textual information can be generated in forums, online discussions or any other communication exchange in an online medium.
Vinayak Kumar, B. K. Tripathy
openaire   +1 more source