Results 21 to 30 of about 2,719,560 (294)

Text Sentiment Classification Based on BERT Embedding and Sliced Multi-Head Self-Attention Bi-GRU

Sensors, 2023
In the task of text sentiment analysis, the main problem that we face is that the traditional word vectors represent lack of polysemy, the Recurrent Neural Network cannot be trained in parallel, and the classification accuracy is not high.
Xiangsen Zhang, Zhongqiang Wu, Ke Liu, Zengshun Zhao, Jinhao Wang, Chengqin Wu   +5 more
doaj   +1 more source

Sentiment Analysis Using Stacked Gated Recurrent Unit for Arabic Tweets

IEEE Access, 2021
Over the last decade, the amount of Arabic content created on websites and social media has grown significantly. Opinions are shared openly and freely on social media, a process that provides a rich source for trend analyses.
Asma Al Wazrah, Sarah Alhumoud
doaj   +1 more source

Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height

, 2022
Major emphasis presently being made is on using and optimizing more sustainable and renewable energy resources to tackle the upcoming energy demand challenges and probable scarcity induced by several socioeconomic variables. In this research a new hybrid
Mehdi Jamei, Yaseen, Zaher Mundher, Masoud Karbasi, Shahab Abdulla, Abdulla, Shahab, Chu, Xuefeng, Ali, Mumtaz, Mumtaz Ali, Xuefeng Chu, Karbasi, Masoud, Jamei, Mehdi, Zaher Mundher Yaseen   +11 more
core   +1 more source

SPIDER: A shallow PCA based network intrusion detection system with enhanced recurrent neural networks

Journal of King Saud University: Computer and Information Sciences, 2022
In recent years, ensuring the stability of the huge volume of data generated by billions of users has become the main concern in the field of cyber security.
Pritom Biswas Udas, Md. Ebtidaul Karim, Kowshik Sankar Roy   +2 more
doaj   +1 more source

Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization [PDF]

, 2023
Energy operations and schedules are significantly impacted by load and energy forecasting systems. An effective system is a requirement for a sustainable and equitable environment.
Siddique, I., Abid, F., Alam, M., Alamri, F.S.   +3 more
core   +1 more source

Multi-energy load forecasting model based on bi-directional gated recurrent unit multi-task neural network [PDF]

E3S Web of Conferences, 2021
The complex coupling, coordination and complementarity of different energy in the integrated energy system puts forward higher requirements for the technology of multi-energy load forecasting.
Zheng Zhijie, Feng Liang, Wang Xuan, Liu Rui, Wang Xian, Sun Yi   +5 more
doaj   +1 more source

Identifikasi Cuitan Berbahasa Indonesia yang Mengandung Unsur Depresi Menggunakan Metode Bidirectional Gated Recurrent Unit [PDF]

, 2023
Twitter can be used to express and describe the emotions felt by the users. The emotions expressed through tweets on the users’ Twitter accounts can be associated with the mental disorders they are experiencing.
Harefa, Meily Benedicta
core  

An Intrinsic Human Physical Activity Recognition from Fused Motion Sensor Data Using Bidirectional Gated Recurrent Neural Network in Healthcare

, 2022
An intrinsic bi-directional gated recurrent neural network for recognising human physical activities from intelligent sensors is presented in this work.

core   +1 more source

A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion [PDF]

, 2021
Recurrent Neural Networks (RNNs) are known for their ability to learn relationships within temporal sequences. Gated Recurrent Unit (GRU) networks have found use in challenging time-dependent applications such as Natural Language Processing (NLP ...
Uche Onyekpe, Palade, Vasile, Vasile Palade, Stratis Kanarachos, Onyekpe, Uche Abiola, Christopoulos, Stavros; id_orcid, Kanarachos, Stratis, Stavros-Richard Christopoulos   +7 more
core   +1 more source

Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU

IEEE Access, 2019
Air pollution forecasting can provide reliable information about the future pollution situation, which is useful for an efficient operation of air pollution control and helps to plan for prevention.
Qing Tao, Fang Liu, Yong Li, Denis Sidorov   +3 more
doaj   +1 more source