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20172019
most citedUnsupervised Feature Selection Based on Space Filling Concept

4 citations · 8 across the 2 of their papers we have counts for

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5 papers · 1 filter

stat.AP2019

Analysis of air pollution time series using complexity-invariant distance and information measures

Federico Amato, Mohamed Laib, Fabian Guignard +1

Air pollution is known to be a major threat for human and ecosystem health. A proper understanding of the factors generating pollution and of the behavior of air pollution in time…

stat.AP2018

Analysis of temporal properties of wind extremes

Luciano Telesca, Fabian Guignard, Mohamed Laib +1

The 10-minute average wind speed series recorded at 132 stations distributed rather homogeneously in the territory of Switzerland are investigated. Wind extremes are defined on the…

stat.AP2018

Linearity versus non-linearity in high frequency multilevel wind time series measured in urban areas

Luciano Telesca, Mohamed Laib, Fabian Guignard +2

In this paper, high frequency wind time series measured at different heights from the ground (from 5.5 to 25.5 meters) in an urban area were investigated. The spectrum of each seri…

stat.AP2018

Investigating the time dynamics of wind speed in complex terrains by using the Fisher-Shannon method

Fabian Guignard, Michele Lovallo, Mohamed Laib +4

In this paper, the time dynamics of the daily means of wind speed measured in complex mountainous regions are investigated. For 293 measuring stations distributed over all Switzerl…

stat.AP20174 cited

Periodic fluctuations in correlation-based connectivity density time series: application to wind speed-monitoring network in Switzerland

Mohamed Laib, Luciano Telesca, Mikhail Kanevski

In this paper, we study the periodic fluctuations of connectivity density time series of a wind speed-monitoring network in Switzerland. By using the correlogram-based robust perio…