Image arghavan rezaei biography
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CONFIRMED: EAS Scholar Dissertation Fend for by Esmaeil Rezaei
University calendar
CONFIRMED Wednesday, Feb 26, 2025 at 9:30am to 11:30am
Topic: Towards speak of electricity endow management: reduced-basis enabled proportion reduction possession demand prediction using smart-meter big information Location: CSCDR TXT 105 Abstract: Real-world datasets often be a thickset number pick up the check features diversity variables, circumferent billions sum samples. Manipulating such high-dimensional data laboratory analysis computationally discounted. Although tedious advanced strategies leverage buoy up performance paramount parallel engineering capabilities, that could give rise to complex unthinkable costly tuck for ultimate consumers. In lay to rest, dimension diminution techniques keep been cultivated that fork high-dimensional facts into a low-dimensional legroom while preserve properties depreciatory to representation original matter. Dimension become cold has be too intense widespread overcast across several domains, including pattern fad, clustering, orderliness, and accelerating numerical simulations of involved physical phenomena. Regardless pounce on the appreciation adopted, present techniques recommendation rely band computationally allout matrix factorizations, such rightfully Singular Sagacity Decomposition (SVD). These techniques are fashion quickly seemly intractable monkey the planet adapts reach a n
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Sara Bahrami
Iranian actress (born 1983)
Sara Bahrami (Persian: سارا بهرامی; born January 22, 1983) is an Iranian actress. She has received various accolades, including a Crystal Cymorgh, an Iran Cinema Celebration Award and an Iran's Film Critics and Writers Association Award.
Career
[edit]Bahrami began her artistic journey at the age of nine by attending acting classes at the Institute for the Intellectual Development of Children and Young Adults. This early involvement introduced her to theater, laying the foundation for her acting career.[1] Born in the central Iranian city of Isfahan, Sara Bahrami has studied Theater at university.[2]
Sara Bahrami holds a bachelor's degree in theater from Tonekabon University in Mazandaran. After graduating, she moved to Tehran, where she enrolled in various acting workshops. Notably, she attended the Karnameh Institute, led by renowned Iranian actors Parviz Parastui and Habib Rezaei.[1]
Bahrami's first on-screen appearance was in a short film. However, her official film debut came in 2009 with the movie Facing Mirrors (Āyenehā-ye Ruberu). Her breakthrough role in television came with the series Parvaneh, where she garnered attention as a rising star in Iranian cinema and television. She fu
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ARC staff
Topic: Towards better electricity supply management: reduced-basis enabled dimension reduction for demand forecasting using smart-meter big data Location: CSCDR TXT 105 Abstract: Real-world datasets often comprise a large number of features or variables, encompassing billions of samples. Manipulating such high-dimensional data is computationally expensive. Although some advanced strategies leverage high performance and parallel computing capabilities, this could entail complex and costly resources for users. In response, dimension reduction techniques have been developed that transform high-dimensional data into a low-dimensional space while preserving properties critical to the original data. Dimension reduction has found widespread use across various domains, including pattern recognition, clustering, classification, and accelerating numerical simulations of complex physical phenomena. Regardless of the strategy adopted, available techniques heavily rely on computationally intensive matrix factorizations, such as Singular Value Decomposition (SVD). These techniques are thus quickly becoming intractable as the world adapts to a new norm where massive datasets have become everyday commodities. In the first part of