Mean Shifts Monitoring of Auto-correlated Manufacturing Processes Using Long Short-Term Memory-Based Recurrent Neural Network

Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018 ◽

10.1007/978-981-13-3402-3_10 ◽

2019 ◽

pp. 83-94

Author(s):

Shu-mei Chen ◽

Jian-bo Yu

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Manufacturing Processes ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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An Effective Recurrent Neural Network (RNN) based Intrusion Detection via Bi-directional Long Short-Term Memory

2021 International Conference on Intelligent Technologies (CONIT) ◽

10.1109/conit51480.2021.9498552 ◽

2021 ◽

Author(s):

S. Sivamohan ◽

S.S. Sridhar ◽

S. Krishnaveni

Keyword(s):

Neural Network ◽

Intrusion Detection ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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Long Short-Term Memory Recurrent Neural Network Architectures for Melody Generation

Advances in Intelligent Systems and Computing - Soft Computing for Problem Solving ◽

10.1007/978-981-13-1595-4_4 ◽

2018 ◽

pp. 41-55 ◽

Cited By ~ 1

Author(s):

Abhinav Mishra ◽

Kshitij Tripathi ◽

Lakshay Gupta ◽

Krishna Pratap Singh

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Network Architectures ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory ◽

Neural Network Architectures

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Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters

Procedia Computer Science ◽

10.1016/j.procs.2017.12.087 ◽

2018 ◽

Vol 125 ◽

pp. 676-682 ◽

Cited By ~ 65

Author(s):

Jitendra Kumar ◽

Rimsha Goomer ◽

Ashutosh Kumar Singh

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Forecasting Model ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection

2016 International Conference on Platform Technology and Service (PlatCon) ◽

10.1109/platcon.2016.7456805 ◽

2016 ◽

Cited By ~ 134

Author(s):

Jihyun Kim ◽

Jaehyun Kim ◽

Huong Le Thi Thu ◽

Howon Kim

Keyword(s):

Neural Network ◽

Intrusion Detection ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Neural Network Classifier ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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Convolutional Grid Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition

Communications in Computer and Information Science - Neural Information Processing ◽

10.1007/978-3-030-36802-9_76 ◽

2019 ◽

pp. 718-726

Author(s):

Jiabin Xue ◽

Tieran Zheng ◽

Jiqing Han

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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Available capacity computation model based on long short-term memory recurrent neural network for gelled-electrolyte batteries in golf carts

IEEE Access ◽

10.1109/access.2021.3123789 ◽

2021 ◽

pp. 1-1

Author(s):

Ching-Ming Lai ◽

Ting-Jung Kuo

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Computation Model ◽

Short Term ◽

Term Memory ◽

Model Based ◽

Long Short Term Memory ◽

Golf Carts

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Simulation of Open Quantum Dynamics with Bootstrap-Based Long Short-Term Memory Recurrent Neural Network

The Journal of Physical Chemistry Letters ◽

10.1021/acs.jpclett.1c02672 ◽

2021 ◽

pp. 10225-10234

Author(s):

Kunni Lin ◽

Jiawei Peng ◽

Feng Long Gu ◽

Zhenggang Lan

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Quantum Dynamics ◽

Short Term Memory ◽

Short Term ◽

Term Memory ◽

Open Quantum ◽

Long Short Term Memory

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Stock Price Prediction Using Recurrent Neural Network and Long Short-Term Memory

Conference Proceedings of ICDLAIR2019 - Lecture Notes in Networks and Systems ◽

10.1007/978-3-030-67187-7_17 ◽

2021 ◽

pp. 153-160

Author(s):

Avanish Kumar ◽

Kaustubh Purohit ◽

Krishan Kumar

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Stock Price ◽

Short Term Memory ◽

Short Term ◽

Term Memory ◽

Stock Price Prediction ◽

Price Prediction ◽

Long Short Term Memory

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A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network

Process Safety and Environmental Protection ◽

10.1016/j.psep.2020.05.046 ◽

2020 ◽

Vol 142 ◽

pp. 126-137 ◽

Cited By ~ 1

Author(s):

Augustine Osarogiagbon ◽

Somadina Muojeke ◽

Ramachandran Venkatesan ◽

Faisal Khan ◽

Paul Gillard

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Short Term Memory ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory ◽

Petroleum Drilling

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The Daily Container Volumes Prediction of Storage Yard in Port with Long Short-Term Memory Recurrent Neural Network

Journal of Advanced Transportation ◽

10.1155/2019/5764602 ◽

2019 ◽

Vol 2019 ◽

pp. 1-11

Author(s):

Yinping Gao ◽

Daofang Chang ◽

Ting Fang ◽

Yiqun Fan

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Bp Neural Network ◽

Short Term Memory ◽

Arima Model ◽

Training Set ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory ◽

Box Plot

The effective forecast of container volumes can provide decision support for port scheduling and operating. In this work, by deep learning the historical dataset, the long short-term memory (LSTM) recurrent neural network (RNN) is used to predict daily volumes of containers which will enter the storage yard. The raw dataset of daily container volumes in a certain port is chosen as the training set and preprocessed with box plot. Then the LSTM model is established with Python and Tensorflow framework. The comparison between LSTM and other prediction methods like ARIMA model and BP neural network is also provided in this study, and the prediction gap of LSTM is lower than other methods. It is promising that the proposed LSTM is helpful to predict the daily volumes of containers.

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