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نمایش تعداد 1-6 از 6

Double H shaped metamaterial embedded compact RMPA

نوع: Conference Paper

نویسنده : Kaur, Preet; Aggarwal, S.K.; De, Asok

ناشر: IEEE

سال: 2014

Characteristics of high power density transformer without a special license to traffic

نوع: Conference Paper

نویسنده : Sousa, Thales; Jardini, Jose Antonio; Bini, Marco Aurelio; Carneiro, Joao Carlos; Uemura, Fumiaki; Brittes, Jose Luiz Pereira

ناشر: IEEE

سال: 2014

Message from Program Chairs

نوع: Conference Paper

ناشر: IEEE

سال: 2014

MgO nanocomposites as new antibacterial materials for orthopedic tissue engineering applications

نوع: Conference Paper

نویسنده : Hickey, Daniel J.; Ercan, Batur; Chung, Stanley; Webster, Thomas J.; Sun, Linlin; Geilich, Ben

ناشر: IEEE

سال: 2014

Comparative analysis of physiological signals and electroencephalogram (EEG) for multimodal emotion recognition using generative models

نوع: Conference Paper

نویسنده : Torres-Valencia, Cristian A.; Garcia-Arias, Hernan F.; Lopez, Mauricio A.Alvarez; Orozco-Gutierrez, Alvaro A.

ناشر: IEEE

سال: 2014

A survey on the reliability of protective systems for large hydro generating units

نوع: Conference Paper

نویسنده : Zapata, Carlos J.; Cely, Hugo A.

ناشر: IEEE

سال: 2014

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Double H shaped metamaterial embedded compact RMPA

Characteristics of high power density transformer without a special license to traffic

Message from Program Chairs

MgO nanocomposites as new antibacterial materials for orthopedic tissue engineering applications

Comparative analysis of physiological signals and electroencephalogram (EEG) for multimodal emotion recognition using generative models

A survey on the reliability of protective systems for large hydro generating units

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Double H shaped metamaterial embedded compact RMPA

Characteristics of high power density transformer without a special license to traffic

Message from Program Chairs

MgO nanocomposites as new antibacterial materials for orthopedic tissue engineering applications

Comparative analysis of physiological signals and electroencephalogram (EEG) for multimodal emotion recognition using generative models

A survey on the reliability of protective systems for large hydro generating units