Výsledky vyhledávání - "NAZEMPOUR, REZVAN"

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A Computer-Aided System for Determining the Application Range of a Warfarin Clinical Dosing Algorithm Using Support Vector Machines with a Polynomial Kernel Function

Autor: Sharabiani, Ashkan, Bress, Adam, Galanter, William, Nazempour, Rezvan, Darabi, Houshang

Determining the optimal initial dose for warfarin is a critically important task. Several factors have an impact on the therapeutic dose for individual patients, such as patients' physical attributes (Age, Height, etc.), medication profile, co-morbid

Externí odkaz: http://arxiv.org/abs/1903.09267

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A complex network theory approach for optimizing contamination warning sensor location in water distribution networks

Autor: Nazempour, Rezvan, Monfared, Mohammad Ali Saniee, Zio, Enrico

Drinking water for human health and well-being is crucial. Accidental and intentional water contamination can pose great danger to consumers. Optimal design of a system that can quickly detect the presence of contamination in a water distribution net

Externí odkaz: http://arxiv.org/abs/1601.02155

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Akademický článek

A complex network theory approach for optimizing contamination warning sensor location in water distribution networks

Autor: Nazempour, Rezvan, Monfared, Mohammad Ali Saniee, Zio, Enrico

Publikováno v: In International Journal of Disaster Risk Reduction September 2018 30 Part B:225-234

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Machine Learning and Statistical Analysis to Enhance Learning Outcomes in Online Learning Environments

Autor: Nazempour, Rezvan

Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::231191150bb2834e0f194534ed8a5562

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