Zobrazeno 1 - 10
of 21 214
pro vyhledávání: '"P. Post"'
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 2943-2956 (2023)
Evaluating extreme rainfall for a certain location is commonly considered when designing stormwater management systems. Rain gauge data are widely used to estimate rainfall intensities for a given return period. However, the poor spatial and temporal
Externí odkaz:
https://doaj.org/article/aa6fabe5e2b74885a84de5453055adb5
Autor:
A. Lehmann, K. Myrberg, P. Post, I. Chubarenko, I. Dailidiene, H.-H. Hinrichsen, K. Hüssy, T. Liblik, H. E. M. Meier, U. Lips, T. Bukanova
Publikováno v:
Earth System Dynamics, Vol 13, Pp 373-392 (2022)
In the Baltic Sea, salinity and its large variability, both horizontal and vertical, are key physical factors in determining the overall stratification conditions. In addition to that, salinity and its changes also have large effects on various ecosy
Externí odkaz:
https://doaj.org/article/7b4fb010b4b342478d6002131c290b4d
In order to formally verify robotic controllers, we must tackle the inherent uncertainty of sensing and actuation in a physical environment. We can model uncertainty using stochastic hybrid systems, which combine discrete jumps with continuous, stoch
Externí odkaz:
http://arxiv.org/abs/2410.14718
Models for streaming speech translation (ST) can achieve high accuracy and low latency if they're developed with vast amounts of paired audio in the source language and written text in the target language. Yet, these text labels for the target langua
Externí odkaz:
http://arxiv.org/abs/2410.05146
We present spectroscopic and photometric observations of Bernhard-2, which was previously identified as a candidate system to host a misaligned circumbinary disk. Our spectroscopic measurements confirm that Bernhard-2 indeed contains an eccentric ($e
Externí odkaz:
http://arxiv.org/abs/2409.18296
Inverse materials design has proven successful in accelerating novel material discovery. Many inverse materials design methods use unsupervised learning where a latent space is learned to offer a compact description of materials representations. A la
Externí odkaz:
http://arxiv.org/abs/2409.06740
In the presence of unmeasured heterogeneity, the hazard ratio for exposure has a complex causal interpretation. To address this, accelerated failure time (AFT) models, which assess the effect on the survival time ratio scale, are often suggested as a
Externí odkaz:
http://arxiv.org/abs/2409.01983
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 1245-1258 (2021)
Accurate, timely, and reliable precipitation observations are mandatory for hydrological forecast and early warning systems. In the case of convective precipitation, traditional rain gauge networks often miss precipitation maxima, due to density limi
Externí odkaz:
https://doaj.org/article/4137a5d4349f4dc88e1189504f157c0f
The deep learning language of choice these days is Python; measured by factors such as available libraries and technical support, it is hard to beat. At the same time, software written in lower-level programming languages like C++ retain advantages i
Externí odkaz:
http://arxiv.org/abs/2408.11853
Data availability limits the scope of any given task. In machine translation, historical models were incapable of handling longer contexts, so the lack of document-level datasets was less noticeable. Now, despite the emergence of long-sequence method
Externí odkaz:
http://arxiv.org/abs/2406.03869