Results 1 to 10 of about 95,729 (257)

Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
Visual inspection of long-term electroencephalography (EEG) is a tedious task for physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural network, an automatic seizure detection method is proposed in this paper to facilitate ...
Yanli Zhang, Shuxin Yao, Rendi Yang, Xiaojia Liu, Wenlong Qiu, Luben Han, Weidong Zhou, Wei Shang   +7 more
doaj   +2 more sources

Gated recurrent unit neural network (GRU) based on quantile regression (QR) predicts reservoir parameters through well logging data

Frontiers in Earth Science, 2023
The prediction of reservoir parameters is the most important part of reservoir evaluation, and porosity is very important among many reservoir parameters.
Zhengjun Yu, Youzhuang Sun, Junhua Zhang, Yongan Zhang, Zhen Liu   +4 more
doaj   +2 more sources

A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion

Information, 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, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos   +3 more
doaj   +3 more sources

Attention-enhanced gated recurrent unit for action recognition in tennis [PDF]

PeerJ Computer Science
Human Action Recognition (HAR) is an essential topic in computer vision and artificial intelligence, focused on the automatic identification and categorization of human actions or activities from video sequences or sensor data.
Meng Gao, Bingchun Ju
doaj   +3 more sources

Non-Technical Losses Detection Using Autoencoder and Bidirectional Gated Recurrent Unit to Secure Smart Grids

IEEE Access, 2022
Electricity theft is considered one of the most significant reasons of the non technical losses (NTL). It negatively influences the utilities in terms of the power supply quality, grid’s safety, and economic loss.
Pamir, Nadeem Javaid, Umar Qasim, Adamu Sani Yahaya, Eman H. Alkhammash, Myriam Hadjouni   +5 more
doaj   +1 more source

Gate-variants of Gated Recurrent Unit (GRU) neural networks [PDF]

Midwest Symposium on Circuits and Systems, 2017
The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNNs) by retaining the structure and systematically reducing parameters in the update and reset gates.
Rahul Dey, F. Salem
semanticscholar   +1 more source

Deep Gated Recurrent Unit for Smartphone-Based Image Captioning

Sakarya University Journal of Computer and Information Sciences, 2021
Expressing the visual content of an image in natural language form has gained relevance due to technological and algorithmic advances together with improved computational processing capacity.
Volkan Kılıç
doaj   +1 more source

Research on power system fault prediction based on GA-CNN-BiGRU

Frontiers in Energy Research, 2023
Introduction: This paper proposes a power system fault prediction method that utilizes a GA-CNN-BiGRU model. The model combines a genetic algorithm (GA), a convolutional neural network (CNN), and a bi-directional gated recurrent unit network ...
Daohua Zhang, Xinxin Jin, Piao Shi, Piao Shi   +3 more
doaj   +1 more source

Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press

Energies, 2021
The accuracy of a predictive system is critical for predictive maintenance and to support the right decisions at the right times. Statistical models, such as ARIMA and SARIMA, are unable to describe the stochastic nature of the data.
Balduíno César Mateus, Mateus Mendes, José Torres Farinha, Rui Assis, António Marques Cardoso   +4 more
doaj   +1 more source

A Real-Time Trajectory Prediction Method of Small-Scale Quadrotors Based on GPS Data and Neural Network

Sensors, 2020
This paper proposes a real-time trajectory prediction method for quadrotors based on a bidirectional gated recurrent unit model. Historical trajectory data of ten types of quadrotors were obtained. The bidirectional gated recurrent units were constructed
Zhao Yang, Rong Tang, Jie Bao, Jiahuan Lu, Zhijie Zhang   +4 more
doaj   +1 more source