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نمایش تعداد 1-6 از 6

Chitosan/bentonite nanocomposite: Preliminary studies of its potentiometric response to nitrate ions in water

نوع: Conference Paper

نویسنده : Mendoza, Moises Oviedo; Ortega, Erika Padilla; de Fuentes, Olimpia Arias; Prokhorov, Yevgen; Luna Barcenas, J.Gabriel

ناشر: IEEE

سال: 2014

Effects of Zn doping on GaAs nanowires

نوع: Conference Paper

نویسنده : Haggren, T.; Kakko, J.-P.; Jiang, H.; Dhaka, V.; Huhtio, T.; Lipsanen, H.

ناشر: IEEE

سال: 2014

The Sensitivity of Final Consequence Analysis Results to the LNG Pool Area

نوع: Conference Paper

نویسنده : Zhang, Qian-Xi; Yuan, Yu; Yang, Wen-Bing; Liang, Dong

ناشر: IEEE

سال: 2014

Similarity analysis of DNA sequences based on k-word

نوع: Conference Paper

نویسنده : Hu, Yingxin; Qi, Zhaohui; Zheng, Lijuan; Zhou, Wenfeng

ناشر: IEEE

سال: 2014

A novel comprehensive control scheme of low frequency of the modular multilevel converter

نوع: Conference Paper

نویسنده : Li, Feng; Wang, Guangzhu

ناشر: IEEE

سال: 2014

A compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal

نوع: Conference Paper

نویسنده : Wang Wei; Jia Min; Guo Qing

ناشر: IEEE

سال: 2014

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Chitosan/bentonite nanocomposite: Preliminary studies of its potentiometric response to nitrate ions in water

Effects of Zn doping on GaAs nanowires

The Sensitivity of Final Consequence Analysis Results to the LNG Pool Area

Similarity analysis of DNA sequences based on k-word

A novel comprehensive control scheme of low frequency of the modular multilevel converter

A compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal

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Chitosan/bentonite nanocomposite: Preliminary studies of its potentiometric response to nitrate ions in water

Effects of Zn doping on GaAs nanowires

The Sensitivity of Final Consequence Analysis Results to the LNG Pool Area

Similarity analysis of DNA sequences based on k-word

A novel comprehensive control scheme of low frequency of the modular multilevel converter

A compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal