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Yves Rybarczyk

Researcher at Dalarna University

Publications -  95
Citations -  1111

Yves Rybarczyk is an academic researcher from Dalarna University. The author has contributed to research in topics: Usability & Air quality index. The author has an hindex of 14, co-authored 86 publications receiving 819 citations. Previous affiliations of Yves Rybarczyk include Universidade Nova de Lisboa & Centre national de la recherche scientifique.

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Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters

TL;DR: A machine learning approach based on six years of meteorological and pollution data analyses is proposed to predict the concentrations of PM2.5 from wind (speed and direction) and precipitation levels and demonstrates that the use of statistical models based on machine learning is relevant to predict PM 2.5 concentrations from meteorological data.
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Machine Learning Approaches for Outdoor Air Quality Modelling: A Systematic Review

TL;DR: The main findings of this literature review show that: (i) machine learning is mainly applied in Eurasian and North American continents and (ii) estimation problems tend to implement Ensemble Learning and Regressions, whereas forecasting make use of Neural Networks and Support Vector Machines.
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Temporal dynamics of motion integration for the initiation of tracking eye movements at ultra-short latencies.

TL;DR: The results tease apart an early component of tracking responses, driven by the grating motion signals and a later component,driven by the line-endings moving at the intersection between grating and aperture's borders, which support the hypothesis of a parallel processing of 1D and 2D motion signals with different temporal dynamics.
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Contrasted effects of relative humidity and precipitation on urban PM2.5 pollution in high elevation urban areas

TL;DR: In this article, the impact of the relative humidity (RH) on the daily average PM2.5 concentrations was studied at several sites in a mid-size South American city at a high elevation over the period of nine years.
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Quantifying decade-long effects of fuel and traffic regulations on urban ambient PM2.5 pollution in a mid-size South American city

TL;DR: In this article, the authors presented the first comprehensive decade-long analysis of the effects of fuel and transport regulations on PM 2.5 (particulate matter of aerodynamic diameter 2).