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Combining Stream Mining and Neural Networks for Short Term Delay Prediction
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding - Advances in Intelligent Systems and Computing
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10.1007/978-3-319-67180-2_18
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2017
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pp. 188-197
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Cited By ~ 1
Author(s):
Maciej Grzenda
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Karolina Kwasiborska
◽
Tomasz Zaremba
Keyword(s):
Neural Networks
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Short Term
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Stream Mining
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Delay Prediction
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References
neural networks in the human brain under short-term olfactory deprivation
10.26226/morressier.5b31ec5c2afeeb001345b1d6
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2018
◽
Author(s):
Sergii Tukaiev
Keyword(s):
Neural Networks
◽
Human Brain
◽
Short Term
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Stock price trend prediction with long short-term memory neural networks
International Journal of Computational Intelligence Studies
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10.1504/ijcistudies.2019.103619
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2019
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Vol 8
(4)
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pp. 289
Author(s):
Varun Gupta
◽
Mujahid Ahmad
Keyword(s):
Neural Networks
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Stock Price
◽
Short Term Memory
◽
Short Term
◽
Trend Prediction
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Price Trend
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Term Memory
◽
Long Short Term Memory
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ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials
IEEE Access
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10.1109/access.2021.3079447
◽
2021
◽
pp. 1-1
Author(s):
Wael Deabes
◽
Alaa Sheta
◽
Malik Braik
Keyword(s):
Neural Networks
◽
Recurrent Neural Networks
◽
Short Term Memory
◽
Electrical Capacitance Tomography
◽
Electrical Capacitance
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Short Term
◽
Term Memory
◽
Conductive Materials
◽
Long Short Term Memory
◽
Capacitance Tomography
Download Full-text
Empirical modeling of ethanol production dynamics using long short-term memory recurrent neural networks
Bioresource Technology Reports
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10.1016/j.biteb.2021.100724
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2021
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pp. 100724
Author(s):
Felipe Matheus Mota Sousa
◽
Rodolpho Rodrigues Fonseca
◽
Flávio Vasconcelos da Silva
Keyword(s):
Neural Networks
◽
Ethanol Production
◽
Recurrent Neural Networks
◽
Short Term Memory
◽
Empirical Modeling
◽
Short Term
◽
Term Memory
◽
Long Short Term Memory
◽
Production Dynamics
Download Full-text
Research of semantic role labeling based on long short-term memory neural networks
Journal of Physics Conference Series
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10.1088/1742-6596/1966/1/012005
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2021
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Vol 1966
(1)
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pp. 012005
Author(s):
Xuheng Liang
Keyword(s):
Neural Networks
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Short Term Memory
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Semantic Role
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Semantic Role Labeling
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Short Term
◽
Term Memory
◽
Long Short Term Memory
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Dynamic hand gesture recognition based on short-term sampling neural networks
IEEE/CAA Journal of Automatica Sinica
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10.1109/jas.2020.1003465
◽
2021
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Vol 8
(1)
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pp. 110-120
Author(s):
Wenjin Zhang
◽
Jiacun Wang
◽
Fangping Lan
Keyword(s):
Neural Networks
◽
Gesture Recognition
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Hand Gesture Recognition
◽
Hand Gesture
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Short Term
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Dynamic Hand Gesture Recognition
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Using long short term memory and convolutional neural networks for driver drowsiness detection
Accident Analysis & Prevention
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10.1016/j.aap.2021.106107
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2021
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Vol 156
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pp. 106107
Author(s):
Azhar Quddus
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Ali Shahidi Zandi
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Laura Prest
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Felix J.E. Comeau
Keyword(s):
Neural Networks
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Convolutional Neural Networks
◽
Short Term Memory
◽
Short Term
◽
Term Memory
◽
Drowsiness Detection
◽
Driver Drowsiness
◽
Long Short Term Memory
Download Full-text
Adaptive Multi-Sensor Data Fusion Positioning Algorithm Based On Long Short Term Memory Neural Networks
2020 IEEE 20th International Conference on Communication Technology (ICCT)
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10.1109/icct50939.2020.9295914
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2020
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Author(s):
Jie Zhou
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Guanghui Xu
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Donglin Zhu
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Enbiao Di
Keyword(s):
Neural Networks
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Data Fusion
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Short Term Memory
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Sensor Data
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Short Term
◽
Term Memory
◽
Sensor Data Fusion
◽
Multi Sensor Data Fusion
◽
Long Short Term Memory
◽
Positioning Algorithm
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Comprehensive comparison of artificial neural networks and long short-term memory networks for rainfall-runoff simulation
Physics and Chemistry of the Earth Parts A/B/C
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10.1016/j.pce.2021.103026
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2021
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pp. 103026
Author(s):
Ganquan Mao
◽
Meng Wang
◽
Junguo Liu
◽
Zifeng Wang
◽
Kai Wang
◽
...
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Short Term Memory
◽
Rainfall Runoff
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Short Term
◽
Runoff Simulation
◽
Term Memory
◽
Comprehensive Comparison
◽
Long Short Term Memory
◽
Artificial Neural
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Short-term Traffic Prediction with Deep Neural Networks: A Survey
IEEE Access
◽
10.1109/access.2021.3071174
◽
2021
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pp. 1-1
Author(s):
Kyungeun Lee
◽
Moonjung Eo
◽
Euna Jung
◽
Yoonjin Yoon
◽
Wonjong Rhee
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Traffic Prediction
◽
Short Term
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