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Water wave optimization: A new nature-inspired metaheuristic
Water wave optimization: A new nature-inspired metaheuristic
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Water wave optimization: A new nature-inspired metaheuristic

Zheng, Yu-Jun

Computers & operations research, 2015-03, Vol.55, p.1-11 [Periódico revisado por pares]

New York: Elsevier Ltd

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On positivity-preserving high order discontinuous Galerkin schemes for compressible Navier–Stokes equations
On positivity-preserving high order discontinuous Galerkin schemes for compressible Navier–Stokes equations
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On positivity-preserving high order discontinuous Galerkin schemes for compressible Navier–Stokes equations

Zhang, Xiangxiong

Journal of computational physics, 2017-01, Vol.328, p.301-343 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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3
Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors
Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors
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Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors

Martel, Julien N. P. ; Muller, Lorenz K. ; Carey, Stephen J. ; Dudek, Piotr ; Wetzstein, Gordon

IEEE transactions on pattern analysis and machine intelligence, 2020-07, Vol.42 (7), p.1642-1653 [Periódico revisado por pares]

United States: IEEE

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4
SwiftIDS: Real-time intrusion detection system based on LightGBM and parallel intrusion detection mechanism
SwiftIDS: Real-time intrusion detection system based on LightGBM and parallel intrusion detection mechanism
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SwiftIDS: Real-time intrusion detection system based on LightGBM and parallel intrusion detection mechanism

Jin, Dongzi ; Lu, Yiqin ; Qin, Jiancheng ; Cheng, Zhe ; Mao, Zhongshu

Computers & security, 2020-10, Vol.97, p.101984-12, Article 101984 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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5
Flow Monitoring Explained: From Packet Capture to Data Analysis With NetFlow and IPFIX
Flow Monitoring Explained: From Packet Capture to Data Analysis With NetFlow and IPFIX
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Flow Monitoring Explained: From Packet Capture to Data Analysis With NetFlow and IPFIX

Hofstede, Rick ; Celeda, Pavel ; Trammell, Brian ; Drago, Idilio ; Sadre, Ramin ; Sperotto, Anna ; Pras, Aiko

IEEE Communications surveys and tutorials, 2014-01, Vol.16 (4), p.2037-2064 [Periódico revisado por pares]

New York: IEEE

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6
RIS-Aided Next-Generation High-Speed Train Communications: Challenges, Solutions, and Future Directions
RIS-Aided Next-Generation High-Speed Train Communications: Challenges, Solutions, and Future Directions
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RIS-Aided Next-Generation High-Speed Train Communications: Challenges, Solutions, and Future Directions

Zhang, Jiayi ; Liu, Heng ; Wu, Qingqing ; Jin, Yu ; Chen, Yuanbin ; Ai, Bo ; Jin, Shi ; Cui, Tie Jun

IEEE wireless communications, 2021-12, Vol.28 (6), p.145-151 [Periódico revisado por pares]

New York: IEEE

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7
Channel Measurements and Models for High-Speed Train Communication Systems: A Survey
Channel Measurements and Models for High-Speed Train Communication Systems: A Survey
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Channel Measurements and Models for High-Speed Train Communication Systems: A Survey

Cheng-Xiang Wang ; Ghazal, Ammar ; Bo Ai ; Yu Liu ; Pingzhi Fan

IEEE Communications surveys and tutorials, 2016-01, Vol.18 (2), p.974-987 [Periódico revisado por pares]

New York: IEEE

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Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks
Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks
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Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks

Hu, Hexuan ; Tang, Bo ; Gong, Xuejiao ; Wei, Wei ; Wang, Huihui

IEEE transactions on industrial informatics, 2017-08, Vol.13 (4), p.2106-2116

Piscataway: IEEE

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A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains
A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains
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A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains

Peng, Dandan ; Liu, Zhiliang ; Wang, Huan ; Qin, Yong ; Jia, Limin

IEEE access, 2019, Vol.7, p.10278-10293 [Periódico revisado por pares]

Piscataway: IEEE

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Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning
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Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning

DiSpirito, Anthony ; Li, Daiwei ; Vu, Tri ; Chen, Maomao ; Zhang, Dong ; Luo, Jianwen ; Horstmeyer, Roarke ; Yao, Junjie

IEEE transactions on medical imaging, 2021-02, Vol.40 (2), p.562-570

United States: IEEE

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