Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Ueli Meier"'
Autor:
Jeffery, Noel
Publikováno v:
Soft Technology: Alternative Technology in Australia, 1989 Oct 01(32/33), 64-65.
Externí odkaz:
https://www.jstor.org/stable/softtechaltetech.32-33.64a
Autor:
Ueli Meier
Publikováno v:
Schweizerische Zeitschrift fur Forstwesen. 171:179-183
Krisenbewältigung, Anpassung an den Klimawandel und Change Management fallen jetzt zusammen Die bekannten Rezepte bei der Bewältigung von früheren Sturmereignissen taugen nicht, um die gegenwärtige Krise zu bewältigen. Von der Trockenheit sind v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4de26b9bb37d745a7b6ec11386dc595
https://doi.org/10.3188/szf.2020.0179
https://doi.org/10.3188/szf.2020.0179
Publikováno v:
Schweizerische Zeitschrift fur Forstwesen. 166:348-351
Research at the right time, implementation-oriented and politically embedded Climate change is occurring at a speed that raises doubts as to whether multi-functional forests can adapt to it naturally in time. In the medium to long term, important for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac610f5f851db76a6b677a02194d764e
https://doi.org/10.3188/szf.2015.0348
https://doi.org/10.3188/szf.2015.0348
Publikováno v:
Earth and Planetary Science Letters. 282:91-101
We performed a fully nonlinear joint inversion of surface wave overtone phase velocities for velocity structure down to a depth of 1500 km and topography of transition zone discontinuities using neural networks. The resulting models are compared with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5118055dceae090ab911de0078480266
https://doi.org/10.1016/j.epsl.2009.03.004
https://doi.org/10.1016/j.epsl.2009.03.004
Autor:
Ueli Meier
Publikováno v:
Schweizerische Zeitschrift fur Forstwesen. 158:201-205
In the region of Basel, the intensive firewood production of the eighteenth and nineteenth centuries led to a threatening situation for the forest. Therefore, the anticipated increase of forestry operations for the wood cogeneration plant Basel is co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64dcd0f6d76c9fec3e1f02855f3cec60
https://doi.org/10.3188/szf.2007.0201
https://doi.org/10.3188/szf.2007.0201
Publikováno v:
Meier, U, Curtis, A & Trampert, J 2007, ' Global crustal thickness from neural network inversion of surface wave data ', Geophysical Journal International, vol. 169, no. 2, pp. 706-722 . https://doi.org/10.1111/j.1365-246X.2007.03373.x
SUMMARY We present a neural network approach to invert surface wave data for a global model of crustal thickness with corresponding uncertainties. We model the a posteriori probability distribution of Moho depth as a mixture of Gaussians and let the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::803348e7bc0b018e853e8c2b533d7972
https://doi.org/10.1111/j.1365-246x.2007.03373.x
https://doi.org/10.1111/j.1365-246x.2007.03373.x
Autor:
Ueli Meier, Dan Ciresan
Publikováno v:
IJCNN
Multi-Column Deep Neural Networks achieve state of the art recognition rates on Chinese characters from the ICDAR 2011 and 2013 offline handwriting competitions, approaching human accuracy. This performance is the result of averaging 11-layers deep n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6df471276512d30081257b3f575ea624
https://doi.org/10.1109/ijcnn.2015.7280516
https://doi.org/10.1109/ijcnn.2015.7280516
Publikováno v:
Near Surface Geophysics. 2:15-23
The generation and recording of electromagnetic waves by ground-penetrating radar (GPR) systems are complex phenomena. To investigate the characteristics of typical surface GPR antennae operating in realistic environments, we have developed an antenn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf55ab0ec81b00a0176b8b23f78df45b
https://doi.org/10.3997/1873-0604.2003012
https://doi.org/10.3997/1873-0604.2003012
Publikováno v:
IJCNN
We introduce a Multi-Scale Pyramidal Pooling Network tailored to generic steel defect classification, featuring a novel pyramidal pooling layer at multiple scales and a novel encoding layer. Thanks to the former, the network does not require all imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab306111db43379eb1cb57423917bc36
https://doi.org/10.1109/ijcnn.2013.6706920
https://doi.org/10.1109/ijcnn.2013.6706920