Results 11 to 20 of about 80,238 (283)
Improving speech recognition by revising gated recurrent units [PDF]
Interspeech 2017, 2017 Speech recognition is largely taking advantage of deep learning, showing that substantial benefits can be obtained by modern Recurrent Neural Networks (RNNs).
Bengio, Yoshua +3 more
core +2 more sources
Temporal action localization using gated recurrent units
The Visual Computer, 2022 Temporal Action Localization (TAL) task which is to predict the start and end of each action in a video along with the class label of the action has numerous applications in the real world. But due to the complexity of this task, acceptable accuracy rates have not been achieved yet, whereas this is not the case regarding the action recognition task. In
Keshvarikhojasteh, Hassan +2 more
openaire +2 more sources
Gate-variants of Gated Recurrent Unit (GRU) neural networks [PDF]
2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017 The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNN) by reducing parameters in the update and reset gates. We evaluate the three variant GRU models on MNIST and IMDB datasets and show that these GRU-RNN variant models perform as well as the original GRU RNN model while reducing the computational ...
Dey, Rahul, Salem, Fathi M.
openaire +2 more sources
Minimal gated unit for recurrent neural networks [PDF]
International Journal of Automation and Computing, 2016 Recently recurrent neural networks (RNN) has been very successful in handling sequence data. However, understanding RNN and finding the best practices for RNN is a difficult task, partly because there are many competing and complex hidden units (such as LSTM and GRU).
Zhou, Guo-Bing +3 more
openaire +2 more sources
Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting
Energies, 2018 Photovoltaic power has great volatility and intermittency due to environmental factors. Forecasting photovoltaic power is of great significance to ensure the safe and economical operation of distribution network.
Yusen Wang, Wenlong Liao, Yuqing Chang
doaj +1 more source
A simple gated recurrent network for detection of power quality disturbances
IET Generation, Transmission & Distribution, 2021 This paper presents a new concise deep learning–based sequence model to detect the power quality disturbances (PQD), which only uses original signals and does not require pre‐processing and complex artificial feature extraction process.
Xiangrong Zu, Kai Wei
doaj +1 more source
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 +4 more
doaj +1 more source
PERBANDINGAN MODEL LSTM DAN GRU UNTUK MEMPREDIKSI HARGA MINYAK GORENG DI INDONESIA
Edusaintek, 2022 Cooking oil, a food ingredient used for cooking, has increased in price in Indonesia. Based on the Indonesian Strategic Food Price Center data, cooking oil reached twice the regular price at the beginning of 2022.
Mochammad Agus Sholeh
doaj +1 more source
Structural Response Estimation Using Gated Recurrent Unit [PDF]
Journal of the Korean Society of Hazard Mitigation, 2021 Recent tragedies have demonstrated that natural disasters, such as earthquakes and typhoons, can wreak havoc on society. Numerical models and simulations are used for predicting the structural response and damage caused by disasters. However, some structures do not have any design drawings or numerical models, and thus, problems are encountered when ...
Geonyeol Jeon +3 more
openaire +1 more source
IEEE Access, 2019 This paper investigates variant-gated recurrent units with encoders to preprocess packets for payload-aware intrusion detection. The variant-gated recurrent units include an encoded gated recurrent unit (E-GRU) and an encoded binarized gated recurrent ...
Yiran Hao, Yiqiang Sheng, Jinlin Wang
doaj +1 more source