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نمایش تعداد 1-10 از 12

Modeling and Forecasting the Urban Volume Using Stochastic Differential Equations

نوع: Journal Paper

نویسنده : Tahmasbi, Rasool; Hashemi, S.M.

ناشر: IEEE

سال: 2014

Provide a framework for selecting services based on cloud computing technology in e-Capital Market

نوع: Conference Paper

نویسنده : Jeyd, M.E. , Hashemi, S.M.

ناشر: IEEE

سال: 2014

The value of information in stochastic maximum flow problems

نوع: Journal Paper

نویسنده : Tahmasbi, Rasool; Nasrabadi, Ebrahim; Hashemi, S. Mehdi

سال: 2013

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Protection of transmission lines using fault component integrated power

نوع: Journal Paper

نویسنده : Ghanizadeh Bolandi, Tohid; Seyedi, Heresh; Hashemi, S.M.

ناشر: IET

سال: 2014

RBF-DQ Solution for Shallow Water Equations

نوع: Journal Paper

نویسنده : Homayoon, L.; Abedini, M. J.; Hashemi, S. M. R.

ناشر: American Society of Civil Engineers

سال: 2013

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[IEEE 2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA) - Birjand, Iran (2013.03.6-2013.03.8)] 2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA) - The use of machine vision inspection for out of roundness measurement in steel pipes

نوع: Journal Paper

نویسنده : Hashemi, S. H.; Moradpour, M. A.; Karimi, E.; Kazemi, M.

سال: 2013

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Transmission-Line Protection: A Directional Comparison Scheme Using the Average of Superimposed Components

نوع: Journal Paper

نویسنده : Hashemi, S. M.; Hagh, M. Tarafdar; Seyedi, H.

سال: 2013

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Synthesis of LPV Controllers With Low Implementation Complexity Based on a Reduced Parameter Set

نوع: Journal Paper

نویسنده : Hoffmann, Christian; Hashemi, S.M.; Abbas, H.S.; Werner, Herbert

ناشر: IEEE

سال: 2014

Dynamic analysis of flexible rectangular fluid containers subjected to horizontal ground motion

نوع: Journal Paper

نویسنده : Hashemi, S.; Saadatpour, M. M.; Kianoush, M. R.

سال: 2013

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Non-local total variation based low-dose Computed Tomography denoising

نوع: Conference Paper

نویسنده : Hashemi, S.; Beheshti, S.; Cobbold, R.S.C.; Paul, N.S.

ناشر: IEEE

سال: 2014

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Modeling and Forecasting the Urban Volume Using Stochastic Differential Equations

Provide a framework for selecting services based on cloud computing technology in e-Capital Market

The value of information in stochastic maximum flow problems

Protection of transmission lines using fault component integrated power

RBF-DQ Solution for Shallow Water Equations

[IEEE 2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA) - Birjand, Iran (2013.03.6-2013.03.8)] 2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA) - The use of machine vision inspection for out of roundness measurement in steel pipes

Transmission-Line Protection: A Directional Comparison Scheme Using the Average of Superimposed Components

Synthesis of LPV Controllers With Low Implementation Complexity Based on a Reduced Parameter Set

Dynamic analysis of flexible rectangular fluid containers subjected to horizontal ground motion

Non-local total variation based low-dose Computed Tomography denoising

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Modeling and Forecasting the Urban Volume Using Stochastic Differential Equations

Provide a framework for selecting services based on cloud computing technology in e-Capital Market

The value of information in stochastic maximum flow problems

Protection of transmission lines using fault component integrated power

RBF-DQ Solution for Shallow Water Equations

[IEEE 2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA) - Birjand, Iran (2013.03.6-2013.03.8)] 2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA) - The use of machine vision inspection for out of roundness measurement in steel pipes

Transmission-Line Protection: A Directional Comparison Scheme Using the Average of Superimposed Components

Synthesis of LPV Controllers With Low Implementation Complexity Based on a Reduced Parameter Set

Dynamic analysis of flexible rectangular fluid containers subjected to horizontal ground motion

Non-local total variation based low-dose Computed Tomography denoising