Results 231 to 240 of about 38,453 (306)

Correction: Generative AI Models in Time-Varying Biomedical Data: Scoping Review.

open access: yesJ Med Internet Res
He R   +6 more
europepmc   +1 more source

Application of Bidirectional Gated Recurrent Unit and Stacked Gated Recurrent Unit Algorithms for Stock Price Prediction

2025 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)
Stocks are financial instruments that provide ownership rights and profits to their holders in public companies, which attract investors because of the potential for high returns despite the risks.
Nasya Amirah Melyani   +3 more
openaire   +2 more sources

Forecasting tropical cyclones wave height using bidirectional gated recurrent unit

Ocean Engineering, 2021
Abstract A bidirectional Gated recurrent units (BiGRU) network is proposed for the prediction of wave height during tropical cyclones (TC). We used a data set of 28 TC events collected from 14 buoys in different environments over the past 9 years. We use buoy data and TC data collected from 27 TC events for training and use six different parameters ...
Fan Meng   +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

Cyber Racism Detection Using Bidirectional Gated Recurrent Units and Word Embeddings1

2021
Racism is an unequal treatment based on race, color, origin, ethnicity or religion. It is often associated with rejection, inequality, and value judgment. A racist act, whether conscious or unconscious, goes beyond insult and aggression and leaves a devastating psychological effect on the victim.
Fattahi, Jaouhar   +2 more
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

Multilevel Categorization of Bengali News Headlines using Bidirectional Gated Recurrent Unit

2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), 2021
Text Classification is one of the popular tasks of Natural Language Processing. Like many other languages, Bengali is also gaining popularity in this field and the most famous work here is the categorization of different unlabelled news articles into some predefined categories like National, International, IT, and so on.
Ettilla Mohiuddin, Abdul Matin
openaire   +1 more source

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   +4 more
openaire   +1 more source

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