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Parameter fitting of PEMFC models based on adaptive differential evolution

Type: Journal Paper

Author : Jixiang Cheng; Gexiang Zhang

Year: 2014

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Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition

Type: Journal Paper

Author : Gexiang Zhang; Laizhao Hu; Weidong Jin

Year: 2004

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A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems

Type: Journal Paper

Author : Gexiang Zhang; Jixiang Cheng; Marian Gheorghe; Qi Meng

Year: 2013

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Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation

Type: Journal Paper

Author : Junbo Zhao; Gexiang Zhang; Zhao Yang Dong; Kit Po Wong

Year: 2016

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Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients

Type: Journal Paper

Author : Gexiang Zhang; Haina Rong; Zhu Ou; Perez-Jimenez, Mario J.; Gheorghe, Marian

Publisher: IEEE

Year: 2014

Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method

Type: Journal Paper

Author : Junbo Zhao; Gexiang Zhang; Kaushik Das; George N. Korres; Nikolaos M. Manousakis; Avinash K. Sinha; Zhengyou He

Year: 2016

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Parameter fitting of PEMFC models based on adaptive differential evolution

Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition

A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems

Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation

Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients

Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method

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Parameter fitting of PEMFC models based on adaptive differential evolution

Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition

A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems

Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation

Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients

Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method