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نمایش تعداد 1-7 از 7

A privacy-preserving approach in content centric

نوع: Conference Paper

نویسنده : Seo, S.C.; Kim, T.; Jang, M.

ناشر: IEEE

سال: 2014

A classifier-based association test for imbalanced data derived from prediction theory

نوع: Conference Paper

نویسنده : Mohr, J. , Seo, S. , Obermayer, K.

ناشر: IEEE

سال: 2014

Observation of thermally activated vortex pairs in a quasi-2D bose gas

نوع: Journal Paper

نویسنده : Choi J.-Y., Seo S.W., Shin Y.-I.

ناشر: American Physical Society

سال: 2013

Direct Adaptive Controller for Nonaffine Nonlinear Systems Using Self-Structuring Neural Networks

نوع: Journal Paper

نویسنده : Park, J.-H.; Huh, S.-H.; Kim, S.-H.; Seo, S.-J.; Park, G.-T.

سال: 2005

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نوع: Journal Paper

نویسنده : Choi J.-Y., Seo S.W., Kwon W.J., Shin Y.-I.

ناشر: American Physical Society

سال: 2013

Molecular Design of High Capacity, Low Viscosity, Chemically Tunable Ionic Liquids for CO ₂ Capture

نوع: Journal Paper

نویسنده : Gurkan, B.; Goodrich, B. F.; Mindrup, E. M.; Ficke, L. E.; Massel, M.; Seo, S.; Senftle, T. P.; Wu, H.; Glaser, M. F.; Shah, J. K.; Maginn, E. J.; Brennecke, J. F.; Schneider, W. F.

سال: 2010

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10nm FINFET technology for low power and high performance applications

نوع: Conference Paper

نویسنده : Guo, D.; Shang, H.; Seo, K.; Haran, B.; Standaert, T.; Gupta, D.; Alptekin, E.; Bae, D.; Bae, G.; Chanemougame, D.; Cheng, K.; Cho, J.; Hamieh, B.; Hong, J.; Hook, T.; Jung, J.; Kambhampati, R.; Kim, B.; Kim, H.; Kim, K.; Kim, T.; Liu, D.; Mallela, H.; Montanini, P.; Mottura, M.; Nam, S.; Ok, I.; Park, Y.; Paul, A.; Prindle, C.; Ramachandran, R.; Sardesai, V.; Scholze, A.; Seo, S.; Southwick, R.; Strane, J.; Sun, X.; Tsutsui, G.; Tripathi, N.; Vega, R.; We

ناشر: IEEE

سال: 2014

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A privacy-preserving approach in content centric

A classifier-based association test for imbalanced data derived from prediction theory

Observation of thermally activated vortex pairs in a quasi-2D bose gas

Direct Adaptive Controller for Nonaffine Nonlinear Systems Using Self-Structuring Neural Networks

Choi et al. Reply:

Molecular Design of High Capacity, Low Viscosity, Chemically Tunable Ionic Liquids for CO ₂ Capture

10nm FINFET technology for low power and high performance applications

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A privacy-preserving approach in content centric

A classifier-based association test for imbalanced data derived from prediction theory

Observation of thermally activated vortex pairs in a quasi-2D bose gas

Direct Adaptive Controller for Nonaffine Nonlinear Systems Using Self-Structuring Neural Networks

Choi et al. Reply:

Molecular Design of High Capacity, Low Viscosity, Chemically Tunable Ionic Liquids for CO 2 Capture

10nm FINFET technology for low power and high performance applications

Molecular Design of High Capacity, Low Viscosity, Chemically Tunable Ionic Liquids for CO ₂ Capture