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The analysis of power flow distribution in SpotNetwork with DG

Type: Conference Paper

Author : Yin, Mingze; Zhang, Zhilma

Publisher: IEEE

Year: 2014

Wavelet Neural Network for ground resistance estimation

Type: Conference Paper

Author : Androvitsaneas, Vasilios P.; Gonos, Ioannis F.; Stathopulos, Ioannis A.; Alexandridis, Antonios K.; Dounias, George

Publisher: IEEE

Year: 2014

Optimal detumbling of defunct spacecraft using space robots

Type: Conference Paper

Author : Rybus, Tomasz; Seweryn, Karol; Sasiadek, Jurek Z.

Publisher: IEEE

Year: 2014

Designs and analysis of non-volatile memory cells for single event upset (SEU) tolerance

Type: Conference Paper

Author : Wei Wei; Lombardi, F.; Namba, K.

Publisher: IEEE

Year: 2014

Decision-making method of load interaction mode for demand response

Type: Conference Paper

Author : Fang, Chen; Liu, Yin; Wang, Feng-yu; Xie, Ying-xin; Wu, Liang

Publisher: IEEE

Year: 2014

A new collision avoidance support system between pedestrian and vehicle using pedestrian moving record

Type: Conference Paper

Author : Nakagami, Go; Yoshida, Tatsuya; Matsuoka, Masato; Wada, Tomotaka; Okada, Hiromi

Publisher: IEEE

Year: 2014

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The analysis of power flow distribution in SpotNetwork with DG

Wavelet Neural Network for ground resistance estimation

Optimal detumbling of defunct spacecraft using space robots

Designs and analysis of non-volatile memory cells for single event upset (SEU) tolerance

Decision-making method of load interaction mode for demand response

A new collision avoidance support system between pedestrian and vehicle using pedestrian moving record

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The analysis of power flow distribution in SpotNetwork with DG

Wavelet Neural Network for ground resistance estimation

Optimal detumbling of defunct spacecraft using space robots

Designs and analysis of non-volatile memory cells for single event upset (SEU) tolerance

Decision-making method of load interaction mode for demand response

A new collision avoidance support system between pedestrian and vehicle using pedestrian moving record