Results 41 to 50 of about 80,914 (224)

Temperature Prediction for Reheating Furnace by Gated Recurrent Unit Approach

IEEE Access, 2022
Reheating furnaces are used to homogeneously reheat the steel stock (Billets, blooms or slabs) at a temperature between 1000°C and 1250°C before hot rolling.
Chien-Jung Chen, Fu-I Chou, Jyh-Horng Chou   +2 more
doaj   +1 more source

The Bidirectional Gated Recurrent Unit Network Based on the Inception Module (Inception-BiGRU) Predicts the Missing Data by Well Logging Data

ACS Omega, 2023
As a key bridge between logging and seismic data, acoustic (AC) logging data is of great significance for reservoir lithology, physical property analysis, and quantitative evaluation, and completing AC logging data can help to obtain high-resolution ...
Youzhuang Sun, Junhua Zhang, Zhengjun Yu, Yongan Zhang, Z. Liu   +4 more
semanticscholar   +1 more source

Anomaly Detection in Cloud Components

, 2020
Cloud platforms, under the hood, consist of a complex inter-connected stack of hardware and software components. Each of these components can fail which may lead to an outage.
Islam, Mohammad Saiful, Miranskyy, Andriy   +1 more
core   +1 more source

Convolutional Gated Recurrent Units for Medical Relation Classification [PDF]

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018
Convolutional neural network (CNN) and recurrent neural network (RNN) models have become the mainstream methods for relation classification. We propose a unified architecture, which exploits the advantages of CNN and RNN simultaneously, to identify medical relations in clinical records, with only word embedding features.
Bin He 0005, Yi Guan, Rui Dai
openaire   +3 more sources

Pedestrian Tracking with Gated Recurrent Units and Attention Mechanisms [PDF]

2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020
Pedestrian tracking has long been considered an important problem, especially in security applications. Previously,many approaches have been proposed with various types of sensors. One popular method is Pedestrian Dead Reckoning(PDR) [1] which is based on the inertial measurement unit(IMU) sensor.
Mahdi Elhousni, Xinming Huang 0001
openaire   +2 more sources

A novel framework for cryptocurrency price forecasting: integrating dual attention mechanisms, genetic algorithm feature selection, and Hybrid Adam-PSO optimization

Cogent Engineering
This paper proposes a robust framework for cryptocurrency price forecasting by integrating technical indicators, genetic algorithm based feature selection, and hybrid deep learning models. Technical indicators capture historical patterns, while a genetic
Susrita Mahapatro, Prabhat Kumar Sahu, Asit Kumar Subudhi   +2 more
doaj   +1 more source

Learning Simpler Language Models with the Differential State Framework

, 2017
Learning useful information across long time lags is a critical and difficult problem for temporal neural models in tasks such as language modeling. Existing architectures that address the issue are often complex and costly to train.
Mikolov, Tomas, Ororbia II, Alexander G., Reitter, David   +2 more
core   +1 more source

A Gated Recurrent Unit Approach to Bitcoin Price Prediction [PDF]

SSRN Electronic Journal, 2019
In today’s era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency portfolio optimization. Researchers have investigated various state of the art machine learning models to predict Bitcoin price and volatility.
Dutta, Aniruddha, Kumar, Saket, Basu, Meheli   +2 more
openaire   +4 more sources

Water Level Prediction Model Applying a Long Short-Term Memory (LSTM)–Gated Recurrent Unit (GRU) Method for Flood Prediction

Water, 2022
The damage caused by floods is increasing worldwide, and if floods can be predicted, the economic and human losses from floods can be reduced. A key parameter of flooding is water level data, and this paper proposes a water level prediction model using ...
M. Cho, Changsu Kim, Kwanyoung Jung, H. Jung   +3 more
semanticscholar   +1 more source

Landslide Displacement Prediction With Gated Recurrent Unit and Spatial-Temporal Correlation

Frontiers in Earth Science, 2022
Landslides are geohazards of major concern that can cause casualties and property damage. Short-term landslide displacement prediction is one of the most critical and challenging tasks in landslide deformation analysis, and is beneficial for future ...
Wenli Ma, Wenli Ma, Wenli Ma, Jianhui Dong, Jianhui Dong, Zhanxi Wei, Zhanxi Wei, Zhanxi Wei, Liang Peng, Qihong Wu, Qihong Wu, Chunxia Chen, Yuanzao Wu, Yuanzao Wu, Yuanzao Wu, Feihong Xie, Feihong Xie   +16 more
doaj   +1 more source