Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling

Engineering Structures ◽

10.1016/j.engstruct.2020.110704 ◽

2020 ◽

Vol 215 ◽

pp. 110704 ◽

Cited By ~ 8

Author(s):

Ruiyang Zhang ◽

Yang Liu ◽

Hao Sun

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Seismic Response ◽

Data Driven ◽

Response Modeling

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A data-driven building’s seismic response estimation method using a deep convolutional neural network

IEEE Access ◽

10.1109/access.2021.3065837 ◽

2021 ◽

pp. 1-1

Author(s):

Jinke Li ◽

Zheng He ◽

Xuefeng Zhao

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Seismic Response ◽

Estimation Method ◽

Deep Convolutional Neural Network ◽

Data Driven

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MutagenPred-GCNNs: A Graph Convolutional Neural Network-Based Classification Model for Mutagenicity Prediction with Data-Driven Molecular Fingerprints

Interdisciplinary Sciences Computational Life Sciences ◽

10.1007/s12539-020-00407-2 ◽

2021 ◽

Author(s):

Shimeng Li ◽

Li Zhang ◽

Huawei Feng ◽

Jinhui Meng ◽

Di Xie ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Classification Model ◽

Data Driven ◽

Molecular Fingerprints

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Corrigendum to “Determination of an infill well placement using a data-driven multi-modal convolutional neural network” [J. Petrol. Sci. Eng. 195 (2020) 106805, 1–20]

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2021.109175 ◽

2021 ◽

pp. 109175

Author(s):

Min-gon Chu ◽

Baehyun Min ◽

Seoyoon Kwon ◽

Gayoung Park ◽

Sungil Kim ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Data Driven ◽

Well Placement

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Data-Driven Multi-step Demand Prediction for Ride-Hailing Services Using Convolutional Neural Network

Advances in Intelligent Systems and Computing - Advances in Computer Vision ◽

10.1007/978-3-030-17798-0_2 ◽

2019 ◽

pp. 11-22

Author(s):

Chao Wang ◽

Yi Hou ◽

Matthew Barth

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Data Driven ◽

Demand Prediction

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Data-Driven Feature Extraction for Analog Circuit Fault Diagnosis Using 1-D Convolutional Neural Network

IEEE Access ◽

10.1109/access.2020.2968744 ◽

2020 ◽

Vol 8 ◽

pp. 18305-18315 ◽

Cited By ~ 5

Author(s):

Huahui Yang ◽

Chen Meng ◽

Cheng Wang

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Analog Circuit ◽

Data Driven ◽

Circuit Fault Diagnosis

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Deep RAN: A Scalable Data-driven platform to Detect Anomalies in Live Cellular Network Using Recurrent Convolutional Neural Network

2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI) ◽

10.1109/sami48414.2020.9108742 ◽

2020 ◽

Author(s):

Mohammad Rasoul Tanhatalab ◽

Hossein Yousefi ◽

Hesam Mohammad Hosseini ◽

Mostafa Mofarah Bonab ◽

Vahid Fakharian ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Cellular Network ◽

Data Driven

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A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2017.2774777 ◽

2018 ◽

Vol 65 (7) ◽

pp. 5990-5998 ◽

Cited By ~ 384

Author(s):

Long Wen ◽

Xinyu Li ◽

Liang Gao ◽

Yuyan Zhang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Data Driven ◽

Diagnosis Method

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Data-Driven Fluid Flow Simulations by Using Convolutional Neural Network

Computational and Experimental Simulations in Engineering - Mechanisms and Machine Science ◽

10.1007/978-3-030-64690-5_2 ◽

2020 ◽

pp. 14-19

Author(s):

Kazuhiko Kakuda ◽

Yuto Morimasa ◽

Tomoyuki Enomoto ◽

Wataru Okaniwa ◽

Shinichiro Miura

Keyword(s):

Neural Network ◽

Fluid Flow ◽

Convolutional Neural Network ◽

Data Driven ◽

Flow Simulations

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A Data-Driven Response Virtual Sensor Technique with Partial Vibration Measurements Using Convolutional Neural Network

Sensors ◽

10.3390/s17122888 ◽

2017 ◽

Vol 17 (12) ◽

pp. 2888 ◽

Cited By ~ 5

Author(s):

Shan-Bin Sun ◽

Yuan-Yuan He ◽

Si-Da Zhou ◽

Zhen-Jiang Yue

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Data Driven ◽

Virtual Sensor ◽

Vibration Measurements ◽

Sensor Technique

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Data-driven fault diagnosis method based on the conversion of erosion operation signals into images and Convolutional Neural Network

Process Safety and Environmental Protection ◽

10.1016/j.psep.2021.03.016 ◽

2021 ◽

Author(s):

Zhijian Wang ◽

Wenlei Zhao ◽

Du Wenhua ◽

Naipeng Li ◽

Junyuan Wang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Data Driven ◽

Diagnosis Method

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