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Non-intrusive data-driven model order reduction for circuits based on Hammerstein architectures

Autor: Hanson, Joshua, Paskaleva, Biliana, Bochev, Pavel

We demonstrate that data-driven system identification techniques can provide a basis for effective, non-intrusive model order reduction (MOR) for common circuits that are key building blocks in microelectronics. Our approach is motivated by the pract

Externí odkaz: http://arxiv.org/abs/2405.20178

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A Unified and Interpretable Emotion Representation and Expression Generation

Autor: Paskaleva, Reni, Holubakha, Mykyta, Ilic, Andela, Motamed, Saman, Van Gool, Luc, Paudel, Danda

Canonical emotions, such as happy, sad, and fearful, are easy to understand and annotate. However, emotions are often compound, e.g. happily surprised, and can be mapped to the action units (AUs) used for expressing emotions, and trivially to the can

Externí odkaz: http://arxiv.org/abs/2404.01243

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ТЪРГОВСКОТО ПРЕДПРИЕМАЧЕСТВО В НАУЧНОТО ТВОРЧЕСТВО НА ПРОФ. ВИРЖИНИЯ ПАСКАЛЕВА: ДОСТИЖЕНИЯ И НАСОКИ ЗА БЪДЕЩИ ИЗСЛЕДОВАТЕЛСКИ ДИРЕНИЯ. (Bulgarian)

Autor: Найденов, Ивайло

Publikováno v: Istoricheski Pregled; 2022, Vol. 78 Issue 3, p16-45, 30p

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DUTIES OF NURSES IN THE FIELD OF ROBOTIC SURGERY. ADVANTAGES AND PERSPECTIVES

Autor: Diana Paskaleva, Vasilka Gyurova-Kancheva, Daniela Taneva

Publikováno v: Journal of IMAB, Vol 30, Iss 4, Pp 5931-5935 (2024)

Background: The integration of robotic surgery into modern medical practices has transformed operative methodologies, necessitating an evolution in the roles of operating room nurses. Methods: The method of literature review through deductive conten

Externí odkaz: https://doaj.org/article/a632f6778f5e4c8db1f21ea413eb38ca

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