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نمایش تعداد 1-7 از 7

Lab in a Droplet (LiD): Self-assembly method of microstructures inside a Droplet

نوع: Conference Paper

نویسنده : Takeuchi, Masaru; Ichikawa, Akihiko; Nakajima, Masahiro; Fukuda, Toshio; Hasegawa, Yasuhisa; Huang, Qiang

ناشر: IEEE

سال: 2014

[Title page i]

نوع: Conference Paper

ناشر: IEEE

سال: 2014

Diffusion tensor based global tractography of human brain fiber bundles

نوع: Conference Paper

نویسنده : Chowdhury, Fahmida K.; Jacobs, Eddie; Hossen, Jakir; Salan, Teddy

ناشر: IEEE

سال: 2014

Architectural model for next generation content management system

نوع: Conference Paper

نویسنده : Saha, Ankita; Setua, S.K.

ناشر: IEEE

سال: 2014

A theoretical Q-learning temporary security repair

نوع: Conference Paper

نویسنده : Randrianasolo, A.S.; Pyeatt, L.D.

ناشر: IEEE

سال: 2014

Proactive and reactive risk-aware project scheduling

نوع: Conference Paper

نویسنده : Waledzik, Karol; Mandziuk, Jacek; Zadrozny, Slawomir

ناشر: IEEE

سال: 2014

A 1V input, 3-to-6V output, integrated 58%-efficient charge-pump with hybrid topology and parasitic energy collection for 66% area reduction and 11% efficiency improvement

نوع: Conference Paper

نویسنده : Tsai, Jen-Huan; Ko, Sheng-An; Wang, Hui-Huan; Wang, Chia-Wei; Chen, Hsin; Huang, Po-Chiun

ناشر: IEEE

سال: 2014

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Lab in a Droplet (LiD): Self-assembly method of microstructures inside a Droplet

[Title page i]

Diffusion tensor based global tractography of human brain fiber bundles

Architectural model for next generation content management system

A theoretical Q-learning temporary security repair

Proactive and reactive risk-aware project scheduling

A 1V input, 3-to-6V output, integrated 58%-efficient charge-pump with hybrid topology and parasitic energy collection for 66% area reduction and 11% efficiency improvement

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Lab in a Droplet (LiD): Self-assembly method of microstructures inside a Droplet

[Title page i]

Diffusion tensor based global tractography of human brain fiber bundles

Architectural model for next generation content management system

A theoretical Q-learning temporary security repair

Proactive and reactive risk-aware project scheduling

A 1V input, 3-to-6V output, integrated 58%-efficient charge-pump with hybrid topology and parasitic energy collection for 66% area reduction and 11% efficiency improvement