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A comparison of AC and DC power flow models for contingency and reliability analysis

نوع: Conference Paper

نویسنده : Kile, Hakon; Uhlen, Kjetil; Warland, Leif; Kjolle, Gerd

ناشر: IEEE

سال: 2014

Energy and reserve scheduling under correlated nodal demand uncertainty: An adjustable robust optimization approach

نوع: Conference Paper

نویسنده : Moreira, Alexandre; Street, Alexandre; Arroyo, Jose M.

ناشر: IEEE

سال: 2014

Wavelet denoising: Comparative analysis and optimization using machine learning

نوع: Conference Paper

نویسنده : Arora, Manisha; Bashani, Sachin; Gupta, K.K.; Mohammed, Aquil Mirza

ناشر: IEEE

سال: 2014

Inter street interference cancelation in urban vehicular networks using network coding

نوع: Conference Paper

نویسنده : Sahu, Pratap Kumar; Hafid, Abdelhakim; Cherkaoui, Soumaya

ناشر: IEEE

سال: 2014

A reduced-memory FIR filter using approximate coefficients for ultra-low power SoCs

نوع: Conference Paper

نویسنده : Klinefelter, Alicia; Calhoun, Benton H.

ناشر: IEEE

سال: 2014

Pairwise Topic Model via relation extraction

نوع: Conference Paper

نویسنده : Song, Xiaoli; Shang, Yue; Ling, Yuan; Liu, Mengwen; Hu, Xiaohua

ناشر: IEEE

سال: 2014

Calculation of polarizability tensor for different types of single-wall carbon nanotubes

نوع: Conference Paper

نویسنده : Bokarev, A.N.; Plastun, I.L.

ناشر: IEEE

سال: 2014

Spiking Neural P Systems - A Quick Survey and Some Research Topics

نوع: Conference Paper

نویسنده : Paun, Gheorghe

ناشر: IEEE

سال: 2014

Learning deep features for multiple object tracking by using a multi-task learning strategy

نوع: Conference Paper

نویسنده : Wang, Li; Pham, Nam Trung; Ng, Tian-Tsong; Wang, Gang; Chan, Kap Luk; Leman, Karianto

ناشر: IEEE

سال: 2014

Using pyramid of histogram of oriented gradients on natural scene text recognition

نوع: Conference Paper

نویسنده : Tan, Zhi Rong; Tian, Shangxuan; Tan, Chew Lim

ناشر: IEEE

سال: 2014

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A comparison of AC and DC power flow models for contingency and reliability analysis

Energy and reserve scheduling under correlated nodal demand uncertainty: An adjustable robust optimization approach

Wavelet denoising: Comparative analysis and optimization using machine learning

Inter street interference cancelation in urban vehicular networks using network coding

A reduced-memory FIR filter using approximate coefficients for ultra-low power SoCs

Pairwise Topic Model via relation extraction

Calculation of polarizability tensor for different types of single-wall carbon nanotubes

Spiking Neural P Systems - A Quick Survey and Some Research Topics

Learning deep features for multiple object tracking by using a multi-task learning strategy

Using pyramid of histogram of oriented gradients on natural scene text recognition

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A comparison of AC and DC power flow models for contingency and reliability analysis

Energy and reserve scheduling under correlated nodal demand uncertainty: An adjustable robust optimization approach

Wavelet denoising: Comparative analysis and optimization using machine learning

Inter street interference cancelation in urban vehicular networks using network coding

A reduced-memory FIR filter using approximate coefficients for ultra-low power SoCs

Pairwise Topic Model via relation extraction

Calculation of polarizability tensor for different types of single-wall carbon nanotubes

Spiking Neural P Systems - A Quick Survey and Some Research Topics

Learning deep features for multiple object tracking by using a multi-task learning strategy

Using pyramid of histogram of oriented gradients on natural scene text recognition