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نمایش تعداد 1-6 از 6

Organizing Committees

نوع: Conference Paper

ناشر: IEEE

سال: 2014

Longitudinal fiber parameter measurements of two-mode fiber links by using OTDR

نوع: Conference Paper

نویسنده : Ohashi, M.; Kubota, H.; Miyoshi, Y.; Maruyama, R.; Kuwaki, N.

ناشر: IEEE

سال: 2014

Disease Forecasting System Using Data Mining Methods

نوع: Conference Paper

نویسنده : Nishara Banu, M.A.; Gomathy, B.

ناشر: IEEE

سال: 2014

Humidity sensing by love wave detectors coated with different polymeric films

نوع: Conference Paper

نویسنده : Wang, Li-jun; Liu, Jian-sheng; He, Shi-tang

ناشر: IEEE

سال: 2014

Parent personal information system to improve parental involvement in children's learning process in elementary school

نوع: Conference Paper

نویسنده : Kamaruddin, Azrina; A.L.Nagalingam, Sree Vinodeelan; Admodisastro, Novia; Rasid, Nur Shafiqah Md.

ناشر: IEEE

سال: 2014

Robust terminal filtering in an H<inf>∞</inf> setting — Application to affine functional networks training

نوع: Conference Paper

نویسنده : Yaesh, Isaac; Marono, Noelia Sanchez; Shaked, Uri

ناشر: IEEE

سال: 2014

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Organizing Committees

Longitudinal fiber parameter measurements of two-mode fiber links by using OTDR

Disease Forecasting System Using Data Mining Methods

Humidity sensing by love wave detectors coated with different polymeric films

Parent personal information system to improve parental involvement in children's learning process in elementary school

Robust terminal filtering in an H<inf>∞</inf> setting — Application to affine functional networks training

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Organizing Committees

Longitudinal fiber parameter measurements of two-mode fiber links by using OTDR

Disease Forecasting System Using Data Mining Methods

Humidity sensing by love wave detectors coated with different polymeric films

Parent personal information system to improve parental involvement in children's learning process in elementary school

Robust terminal filtering in an H<inf>&#x221E;</inf> setting &#x2014; Application to affine functional networks training

Robust terminal filtering in an H<inf>∞</inf> setting — Application to affine functional networks training