Deep neural network method for channel estimation in visible light communication

Optics Communications ◽

10.1016/j.optcom.2020.125272 ◽

2020 ◽

Vol 462 ◽

pp. 125272

Author(s):

Xi Wu ◽

Zhitong Huang ◽

Yuefeng Ji

Keyword(s):

Neural Network ◽

Channel Estimation ◽

Visible Light ◽

Deep Neural Network ◽

Visible Light Communication ◽

Neural Network Method ◽

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Adaptive subset searching-based deep neural network method for structural reliability analysis

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107778 ◽

2021 ◽

pp. 107778

Author(s):

Yuequan Bao ◽

Zhengliang Xiang ◽

Hui Li

Keyword(s):

Neural Network ◽

Reliability Analysis ◽

Deep Neural Network ◽

Structural Reliability ◽

Neural Network Method ◽

Structural Reliability Analysis ◽

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An Effective Deep Neural Network Method for Prediction of Battery State at Cell and Module Level

Energy Technology ◽

10.1002/ente.202100048 ◽

2021 ◽

pp. 2100048

Author(s):

T. Nguyen-Thoi ◽

Xujian Cui ◽

Akhil Garg ◽

Liang Gao ◽

Tam T. Truong

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Neural Network Method ◽

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A deep neural network method for solving partial differential equations with complex boundary in groundwater seepage

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2021.109880 ◽

2021 ◽

pp. 109880

Author(s):

Jian Wang ◽

Xue Pang ◽

Faliang Yin ◽

Jun Yao

Keyword(s):

Neural Network ◽

Partial Differential Equations ◽

Differential Equations ◽

Deep Neural Network ◽

Partial Differential ◽

Groundwater Seepage ◽

Neural Network Method ◽

Network Method ◽

Complex Boundary

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Frequency reshaping and compensation scheme based on deep neural network for a FTN CAP 9QAM signal in visible light communication system

17th International Conference on Optical Communications and Networks (ICOCN2018) ◽

10.1117/12.2523089 ◽

2019 ◽

Author(s):

Yinaer Ha ◽

Wenqing Niu ◽

Nan Chi

Keyword(s):

Neural Network ◽

Visible Light ◽

Communication System ◽

Deep Neural Network ◽

Visible Light Communication ◽

Compensation Scheme

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Prediction of Bioprocess Production Using Deep Neural Network Method

TELKOMNIKA (Telecommunication Computing Electronics and Control) ◽

10.12928/telkomnika.v15i1.6124 ◽

2017 ◽

Vol 15 (2) ◽

pp. 805

Author(s):

Amirah Baharin ◽

Afnizanfaizal Abdullah ◽

Siti Noorain Mohmad Yousoff

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Neural Network Method ◽

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A deep neural network method for analyzing lung density using lung ultrasound surface wave elastography

The Journal of the Acoustical Society of America ◽

10.1121/1.5035903 ◽

2018 ◽

Vol 143 (3) ◽

pp. 1803-1803

Author(s):

Boran Zhou ◽

Xiaoming Zhang

Keyword(s):

Neural Network ◽

Surface Wave ◽

Deep Neural Network ◽

Lung Ultrasound ◽

Lung Density ◽

Neural Network Method ◽

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A Deep Neural Network Method for Automatic Modulation Recognition in OFDM with Index Modulation

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) ◽

10.1109/vtcspring.2019.8746286 ◽

2019 ◽

Author(s):

Fang Liu ◽

Yu Zhou ◽

Yuanan Liu

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Modulation Recognition ◽

Neural Network Method ◽

Network Method ◽

Automatic Modulation Recognition ◽

Index Modulation

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Post Equalization Scheme Based on Deep Neural Network for a Probabilistic Shaping 128 QAM DFT-S OFDM Signal in Underwater Visible Light Communication System

2019 18th International Conference on Optical Communications and Networks (ICOCN) ◽

10.1109/icocn.2019.8933882 ◽

2019 ◽

Author(s):

Yinaer Ha ◽

Wenqing Niu ◽

Nan Chi

Keyword(s):

Neural Network ◽

Visible Light ◽

Communication System ◽

Deep Neural Network ◽

Visible Light Communication ◽

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Deep neural network method for predicting the mechanical properties of composites

Applied Physics Letters ◽

10.1063/1.5124529 ◽

2019 ◽

Vol 115 (16) ◽

pp. 161901 ◽

Author(s):

Sang Ye ◽

Bo Li ◽

Qunyang Li ◽

Hong-Ping Zhao ◽

Xi-Qiao Feng

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Deep Neural Network ◽

Neural Network Method ◽

Network Method ◽

Properties Of Composites

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A Deep Neural Network Method for Detection and Tracking Ship for Unmanned Surface Vehicle

2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2019.8908899 ◽

2019 ◽

Author(s):

Weiwei Kong ◽

Tianjiang Hu

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Unmanned Surface Vehicle ◽

Neural Network Method ◽

Detection And Tracking ◽

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