Results 201 to 210 of about 6,021 (251)

Multi-modal fusion fault diagnosis for high-voltage transformers based on STFT-ResBIGRUNet. [PDF]

Sci Rep
Yuan J, Liu C, Zheng B, Pan M.
europepmc   +1 more source

Use of Artificial Intelligence to Detect Cardiac Rhythm Disturbances in Athletes: A Scoping Review. [PDF]

J Vet Intern Med
Kapusniak A, Lara NM, Hitchens PL, Bailey S, Nath L, Franklin S.   +5 more
europepmc   +1 more source

Women's Cardiovascular Disease and Stroke Risk Stratification Using a Precision and Personalized Framework Embedded with an Explainable Artificial Intelligence Paradigm: A Narrative Review. [PDF]

Diagnostics (Basel)
Tiwari E, Shrimankar D, Maindarkar M, Saba L, Suri JS.   +4 more
europepmc   +1 more source

A Motion Intention Recognition Method for Lower-Limb Exoskeleton Assistance in Ultra-High-Voltage Transmission Tower Climbing. [PDF]

Sensors (Basel)
Chen H, Liu Y, Li M, Yang Z, Hu H, Wu X, Wang X, Shi H, Guo Z.   +8 more
europepmc   +1 more source

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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   +2 more sources

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   +1 more source

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

Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks

2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018
In the field of artificial intelligence, we have observed a strong trend towards introducing external resources to aid pattern recognition tasks. In this work, we utilize external meta-data in the form of web text, i.e. natural language, to aid image classification.
Dongzhe Wang, Kezhi Mao
openaire   +1 more source

Hate Speech Detection in Indonesian Twitter Texts using Bidirectional Gated Recurrent Unit

2021 13th International Conference on Knowledge and Smart Technology (KST), 2021
As the number of social media users rises, the probability of hate speech spread in social media also rises indirectly. Hate speech has become one of most common cases found on social media. The spread of hate speech can lead to a riot that might cause conflict, group extermination, and even human casualties.
Angela Marpaung, Rita Rismala, Hani Nurrahmi   +2 more
openaire   +1 more source