Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Hunegnaw, Addisu"'
Autor:
Yuan, Peng, Hunegnaw, Addisu, Alshawaf, Fadwa, Awange, Joseph, Klos, Anna, Teferle, Felix Norman, Kutterer, Hansjörg
Publikováno v:
In Remote Sensing of Environment July 2021 260
Publikováno v:
In Advances in Space Research 1 August 2020 66(3):612-630
Autor:
Hunegnaw, Addisu1 (AUTHOR) addisu.hunegnaw@uni.lu, Teferle, Felix Norman1 (AUTHOR)
Publikováno v:
Sensors (14248220). May2022, Vol. 22 Issue 9, p3384-3384. 23p.
Akademický článek
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Autor:
Teferle, Felix Norman, Hunegnaw, Addisu, Duman, Huseyin, Baltaci, Hakki, Ejigu, Yohannes G., Dousa, Jan
Climate change has led to an increase in the frequency and severity of weather events with intense precipitation and, subsequently, a greater susceptibility of communities around the world to flash flooding. Networks of ground-based Global Navigation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2658::055414bf4c0d1cb48cd5cf486d726df3
http://orbilu.uni.lu/handle/10993/53932
http://orbilu.uni.lu/handle/10993/53932
The University of Luxembourg (UL) is currently contributing to the most recent reprocessing effort of the International GNSS Service (IGS) Tide Gauge Benchmark Monitoring Working Group (TIGA-WG) with multi-constellation GNSS solutions, including GPS,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2658::38426cd7f068fa8b63db6eba132bcbf0
http://orbilu.uni.lu/handle/10993/53369
http://orbilu.uni.lu/handle/10993/53369
Autor:
Teferle, Felix Norman, Hunegnaw, Addisu, Duman, Hüseyin, Baltaci, Hakki, Ejigu, Johannes G, Dousa, Jan
Modern cities all over the world are now more susceptible to flash floods as a result of a rise in the frequency and severity of meteorological events with significant precipitation. For minimizing the risks due to these hydro-meteorological hazards,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2658::0a52ceb80d29b8da624f110ff1d3590f
http://orbilu.uni.lu/handle/10993/51576
http://orbilu.uni.lu/handle/10993/51576
Over the last few decades, anthropogenic greenhouse gas emissions have increased the frequency of climatological anomalies such as temperature, precipitation, and evapotranspiration. It is noticed that the frequency and severity of the intense precip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2658::97db4e7b45988776e6983b0b04436ad3
http://orbilu.uni.lu/handle/10993/51390
http://orbilu.uni.lu/handle/10993/51390
A TWO-STEP FEATURE EXTRACTION ALGORITHM: APPLICATION TO DEEP LEARNING FOR POINT CLOUD CLASSIFICATION
Autor:
Nurunnabi, Abdul Awal Md, Teferle, Felix Norman, Laefer, Debra, Lindenbergh, Roderik, Hunegnaw, Addisu
Most deep learning (DL) methods that are not end-to-end use several multi-scale and multi-type hand-crafted features that make the network challenging, more computationally intensive and vulnerable to overfitting. Furthermore, reliance on empirically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2658::4498856531a29289561e80d4401d1a36
http://orbilu.uni.lu/handle/10993/52282
http://orbilu.uni.lu/handle/10993/52282
Akademický článek
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