Results 91 to 100 of about 873,018 (176)
English offensive text detection using CNN based Bi-GRU model
Over the years, the number of users of social media has increased drastically. People frequently share their thoughts through social platforms, and this leads to an increase in hate content.
Amin, Al +5 more
core
Accurate soil salinization monitoring in arid oases is crucial for agricultural sustainability and ecological security. However, existing deep learning-based approaches often suffer from insufficient use of multi-scale information and inadequate modeling
Mingjie Qian +4 more
doaj +1 more source
Retracted: Health Recognition Algorithm for Sports Training Based on Bi-GRU Neural Networks. [PDF]
Healthcare Engineering JO.
europepmc +1 more source
Translation quality assessment functions as a vital component which Master of Translation and Interpreting programs use to evaluate students’ language skills and their translation abilities.
Biao Li +5 more
doaj +1 more source
Abusive Language Detection in Urdu Text: Leveraging Deep Learning and Attention Mechanism
The widespread use of the Internet and the tremendous growth of social media have enabled people to connect with each other worldwide. Individuals are free to express themselves online, sharing their photos, videos, and text messages globally.
Atif Khan +4 more
doaj +1 more source
Prediction of Particulate Concentration Based on Correlation Analysis and a Bi-GRU Model. [PDF]
Xu H, Zhang A, Xu X, Li P, Ji Y.
europepmc +1 more source
Text Sentiment Classification Based on BERT Embedding and Sliced Multi-Head Self-Attention Bi-GRU. [PDF]
Zhang X +5 more
europepmc +1 more source
Ship motion identification model based on enhanced Bi-LSTM
ObjectiveAiming at the low prediction precision and poor adaptability of ship models based on the data-driven modeling strategy, an enhanced bi-directional long short-term memory (Bi-LSTM) model is proposed for the high-precision non-parametric modeling ...
Haozhe ZHANG +4 more
doaj +1 more source
A deep learning framework using CNN and stacked Bi-GRU for COVID-19 predictions in India. [PDF]
Ahuja S, Shelke NA, Singh PK, Singh PK.
europepmc +1 more source
TINYBERT З CROSS-ATTENTION + LORA + BI-GRU: КОМПАКТНА НЕЙРОМЕРЕЖЕВА АРХІТЕКТУРА ДЛЯ РОЗПІЗНАВАННЯ ФЕЙКОВИХ НОВИН [PDF]
This paper proposes a compact neural network architecture based on TinyBERT with a Cross-Attention mechanism, Low-Rank Adaptation (LoRA), and a bidirectional recurrent Bi-GRU layer for automatic fake news detection.
Литвин, Василь +3 more
core +1 more source

