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Monitoring-System Development for a Bottom-Set Gillnet through Time-Domain Dynamic Simulations
Monitoring-System Development for a Bottom-Set Gillnet through Time-Domain Dynamic Simulations
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Monitoring-System Development for a Bottom-Set Gillnet through Time-Domain Dynamic Simulations

Jin, Chungkuk ; Kim, HanSung ; Kim, Moo-Hyun ; Kim, Kiseon

Applied sciences, 2019-03, Vol.9 (6), p.1210 [Periódico revisado por pares]

Basel: MDPI AG

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Recent Developments on Wireless Sensor Networks Technology for Bridge Health Monitoring
Recent Developments on Wireless Sensor Networks Technology for Bridge Health Monitoring
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Recent Developments on Wireless Sensor Networks Technology for Bridge Health Monitoring

Zhou, Guang-Dong ; Yi, Ting-Hua Stiros, Stathis C.

Mathematical problems in engineering, 2013-01, Vol.2013, p.1-33 [Periódico revisado por pares]

New York: Hindawi Publishing Corporation

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3
Estimation of water quality by UV/Vis spectrometry in the framework of treated wastewater reuse
Estimation of water quality by UV/Vis spectrometry in the framework of treated wastewater reuse
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Estimation of water quality by UV/Vis spectrometry in the framework of treated wastewater reuse

Carré, Erwan ; Pérot, Jean ; Jauzein, Vincent ; Lin, Liming ; Lopez-Ferber, Miguel

Water science and technology, 2017-07, Vol.76 (3-4), p.633-641 [Periódico revisado por pares]

England: IWA Publishing

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4
Control Charts Based on the Exponential Distribution: Adapting Runs Rules for the t Chart
Control Charts Based on the Exponential Distribution: Adapting Runs Rules for the t Chart
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Control Charts Based on the Exponential Distribution: Adapting Runs Rules for the t Chart

Santiago, Eduardo ; Smith, Joel

Quality engineering, 2013-04, Vol.25 (2), p.85-96 [Periódico revisado por pares]

Milwaukee: Taylor & Francis Group

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5
Control Charts for Simultaneous Monitoring of Unknown Mean and Variance of Normally Distributed Processes
Control Charts for Simultaneous Monitoring of Unknown Mean and Variance of Normally Distributed Processes
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Control Charts for Simultaneous Monitoring of Unknown Mean and Variance of Normally Distributed Processes

McCracken, A. K. ; Chakraborti, S. ; Mukherjee, A.

Journal of quality technology, 2013-10, Vol.45 (4), p.360-376 [Periódico revisado por pares]

Milwaukee: Taylor & Francis

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6
Numerical investigation of multi-directional site response based on KiK-net downhole array monitoring data
Numerical investigation of multi-directional site response based on KiK-net downhole array monitoring data
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Numerical investigation of multi-directional site response based on KiK-net downhole array monitoring data

Han, Bo ; Zdravkovic, Lidija ; Kontoe, Stavroula ; Taborda, David M.G.

Computers and geotechnics, 2017-09, Vol.89, p.55-70 [Periódico revisado por pares]

New York: Elsevier Ltd

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7
Modeling and experimental verification of on-line PD detection in MV covered-conductor overhead networks
Modeling and experimental verification of on-line PD detection in MV covered-conductor overhead networks
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Modeling and experimental verification of on-line PD detection in MV covered-conductor overhead networks

Hashmi, G.M. ; Lehtonen, M. ; Nordman, M.

IEEE transactions on dielectrics and electrical insulation, 2010-02, Vol.17 (1), p.167-180 [Periódico revisado por pares]

New York: IEEE

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8
A compressive sensing framework for seismic source parameter estimation
A compressive sensing framework for seismic source parameter estimation
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A compressive sensing framework for seismic source parameter estimation

Vera Rodriguez, Ismael ; Sacchi, Mauricio ; Gu, Yu J

Geophysical journal international, 2012-12, Vol.191 (3), p.1226-1236 [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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9
Detection and localisation of structural damage based on the error in the constitutive relations in dynamics
Detection and localisation of structural damage based on the error in the constitutive relations in dynamics
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Detection and localisation of structural damage based on the error in the constitutive relations in dynamics

Silva, T.A.N. ; Maia, N.M.M.

Applied Mathematical Modelling, 2017-06, Vol.46, p.736-749 [Periódico revisado por pares]

New York: Elsevier BV

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10
A Parallel Simulated Annealing Architecture for Model Updating in Wireless Sensor Networks
A Parallel Simulated Annealing Architecture for Model Updating in Wireless Sensor Networks
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A Parallel Simulated Annealing Architecture for Model Updating in Wireless Sensor Networks

Zimmerman, A.T. ; Lynch, J.P.

IEEE sensors journal, 2009-11, Vol.9 (11), p.1503-1510 [Periódico revisado por pares]

New York: IEEE

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