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A novel approach for multimodal face recognition system based on modular PCA

Type: Conference Paper

Author : Parvathy, S.B.; Naveen, S.; Moni, R.S.

Publisher: IEEE

Year: 2014

Design of compact microstrip lowpass elliptic filter with wide stop band using invasive weed optimization

Type: Conference Paper

Author : Amiri, Mozhgan; Sedighy, S.Hassan; Hayati, Mohsen

Publisher: IEEE

Year: 2014

An Empirical Study on Determinants of Capital Structure in Chinese Listed Companies

Type: Conference Paper

Author : Qian Xu; Chuanguo Li

Publisher: IEEE

Year: 2014

[Copyright notice]

Type: Conference Paper

Publisher: IEEE

Year: 2014

S3-P3: Advanced no-field-plate AlGaN/GaN hemts for millimeter-wave MMIC applications

Type: Conference Paper

Author : Xu, Dong; Chu, K.K.; Diaz, J.A.; Pleasant, L.Mt.; Lender, R.; Schmanski, B.; Ashman, M.; Hulse, J.; Gerlach, M.; Zhu, Wenhua; Seekell, P.; Schlesinger, L.; Isaak, R.; Nichols, K.; Komiak, J.J.; Yang, X.P.; Duh, K.H.G.; Smith, P.M.; Chao, P.C.

Publisher: IEEE

Year: 2014

Configuration strategies for reconfigurable virtual instruments using FPGA

Type: Conference Paper

Author : Sundaramurthy, R.; Dananjayan, P.

Publisher: IEEE

Year: 2014

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A novel approach for multimodal face recognition system based on modular PCA

Design of compact microstrip lowpass elliptic filter with wide stop band using invasive weed optimization

An Empirical Study on Determinants of Capital Structure in Chinese Listed Companies

[Copyright notice]

S3-P3: Advanced no-field-plate AlGaN/GaN hemts for millimeter-wave MMIC applications

Configuration strategies for reconfigurable virtual instruments using FPGA

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A novel approach for multimodal face recognition system based on modular PCA

Design of compact microstrip lowpass elliptic filter with wide stop band using invasive weed optimization

An Empirical Study on Determinants of Capital Structure in Chinese Listed Companies

[Copyright notice]

S3-P3: Advanced no-field-plate AlGaN/GaN hemts for millimeter-wave MMIC applications

Configuration strategies for reconfigurable virtual instruments using FPGA