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نمایش تعداد 1-6 از 6

OpenAirInterface-an effective emulation platform for LTE and LTE-Advanced

نوع: Conference Paper

ناشر: IEEE

سال: 2014

Development anti-dairy fouling surface of 316L 2B stainless steel by atmospheric pressure plasma treatment

نوع: Conference Paper

نویسنده : Al-ogaili, G.; Jimenez, M.; Bellayer, S.; Nuns, N.; Allion, A.; Beaurain, A.; Ronse, G.; Delaplace, G.; Traisnel, M.

ناشر: IEEE

سال: 2014

Singer identification using clustering algorithm

نوع: Conference Paper

نویسنده : Dharini, D.; Revathy, A.

ناشر: IEEE

سال: 2014

VLSI architecture of a high-performance neural spiking activity simulator based on generalized Volterra kernel

نوع: Conference Paper

نویسنده : Li, Will X.Y.; Xin, Yao; Song, Dong; Berger, Theodore W.; Cheung, Ray C.C.

ناشر: IEEE

سال: 2014

Feature based face recognition using slopes

نوع: Conference Paper

نویسنده : Anwar, Isra; Nawaz, Shah; Kibria, Ghulam; Ali, Syed Farooq; Hassan, Malik Tahir; Jeong-Bae Kim

ناشر: IEEE

سال: 2014

Recognition of American sign language using LBG vector quantization

نوع: Conference Paper

نویسنده : Raut, K.S.; Mali, S.; Thepade, S.D.; Sanas, S.P.

ناشر: IEEE

سال: 2014

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OpenAirInterface-an effective emulation platform for LTE and LTE-Advanced

Development anti-dairy fouling surface of 316L 2B stainless steel by atmospheric pressure plasma treatment

Singer identification using clustering algorithm

VLSI architecture of a high-performance neural spiking activity simulator based on generalized Volterra kernel

Feature based face recognition using slopes

Recognition of American sign language using LBG vector quantization

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OpenAirInterface-an effective emulation platform for LTE and LTE-Advanced

Development anti-dairy fouling surface of 316L 2B stainless steel by atmospheric pressure plasma treatment

Singer identification using clustering algorithm

VLSI architecture of a high-performance neural spiking activity simulator based on generalized Volterra kernel

Feature based face recognition using slopes

Recognition of American sign language using LBG vector quantization