Point of Interest Recommendation Algorithm of Gated Recurrent Unit Based on Time Series and Distance [PDF]
Most Point of Interest(POI) recommendation algorithms are susceptible to the influence of time and geographical location,causing incompleteness and ambiguity in related text information of POI.Starting from the correlation between time and geographical ...
XIA Yongsheng, WANG Xiaorui, BAI Peng, LI Mengmeng, XIA Yang, ZHANG Kai
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An Optimized Model Based on Deep Learning and Gated Recurrent Unit for COVID-19 Death Prediction. [PDF]
The COVID-19 epidemic poses a worldwide threat that transcends provincial, philosophical, spiritual, radical, social, and educational borders. By using a connected network, a healthcare system with the Internet of Things (IoT) functionality can ...
Tarek Z +10 more
europepmc +2 more sources
Projected Minimal Gated Recurrent Unit for Speech Recognition
Recurrent neural network (RNN) has the ability to learn long-term dependencies, which makes it suitable for acoustic modeling in speech recognition. In this paper, we revise RNN model used in acoustic modeling, namely, mGRUIP with Context module (mGRUIP ...
Renjian Feng +4 more
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Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm
Sunspot is an area on photosphere layer which is dark-colored. Sunspot is very important to be researched because sunspot is affected by sunspot numbers, which present the level of solar activity. This research was conducted to make prediction on sunspot
Unix Izyah Arfianti +4 more
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Highway Speed Prediction Using Gated Recurrent Unit Neural Networks
Movement analytics and mobility insights play a crucial role in urban planning and transportation management. The plethora of mobility data sources, such as GPS trajectories, poses new challenges and opportunities for understanding and predicting ...
Myeong-Hun Jeong +3 more
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Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting
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
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A simple gated recurrent network for detection of power quality disturbances
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
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PERBANDINGAN MODEL LSTM DAN GRU UNTUK MEMPREDIKSI HARGA MINYAK GORENG DI INDONESIA
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
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Robust constrained nonlinear Model Predictive Control with Gated Recurrent Unit model - Extended version [PDF]
In this paper we propose a robust Model Predictive Control where a Gated Recurrent Unit network model is used to learn the input-output dynamic of the system under control.
I. Schimperna, L. Magni
semanticscholar +1 more source
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
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