Zobrazeno 1 - 10
of 710
pro vyhledávání: '"P, Dellenbach"'
Autor:
D. T. Halford, R. Karolytė, J. T. Dellenbach, B. Cathey, M. Cathey, D. Balentine, M. W. Andreason, G. K. Rice
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
A key challenge in helium (He) exploration is determining the efficacy of surficial soil gas surveys. While soil gas surveys can detect helium, the mechanisms leading to these signals are often poorly understood, hindering reliable interpretation for
Externí odkaz:
https://doaj.org/article/c8de6232c2e8457eb84da63c811638b5
With the democratization of 3D LiDAR sensors, precise LiDAR odometries and SLAM are in high demand. New methods regularly appear, proposing solutions ranging from small variations in classical algorithms to radically new paradigms based on deep learn
Externí odkaz:
http://arxiv.org/abs/2103.09708
Probabilistic Determination of the Role of Faults and Intrusions in Helium‐Rich Gas Fields Formation
Autor:
D. T. Halford, R. Karolytė, M. W. Andreason, B. Cathey, M. Cathey, J. T. Dellenbach, J. J. Cuzella, S. A. Sonnenberg, A. Cheng, K. J. W. McCaffrey, J. G. Gluyas, C. J. Ballentine
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 25, Iss 6, Pp n/a-n/a (2024)
Abstract Natural gas fields with economic helium (>0.3 He %) require the radioactive decay of crustal uranium (U) and thorium (Th) to generate He and tectonic/structural regimes favorable to releasing and concentrating He. An unknown is determining t
Externí odkaz:
https://doaj.org/article/74bb15bc9657469ebac34de751cb8ce0
Multi-beam LiDAR sensors are increasingly used in robotics, particularly with autonomous cars for localization and perception tasks, both relying on the ability to build a precise map of the environment. For this, we propose a new real-time LiDAR-onl
Externí odkaz:
http://arxiv.org/abs/2109.12979
Akademický článek
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Autor:
Monnerie, Denis
Publikováno v:
Anthropos; 2011, Vol. 106 Issue 2, p645-647, 3p
The amount of personal data collected in our everyday interactions with connected devices offers great opportunities for innovative services fueled by machine learning, as well as raises serious concerns for the privacy of individuals. In this paper,
Externí odkaz:
http://arxiv.org/abs/1803.09984
Akademický článek
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Autor:
Michael Rieger, Christian Dellenbach, Johannes vom Berg, Jane Beil-Wagner, Ange Maguy, Stephan Rohr
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Current cardiac mapping systems provide either electrical or optical readouts. Here the authors report a panoramic opto-electrical measurement and stimulation (POEMS) system which embraces the entire ventricular surface of mouse hearts, allowing flex
Externí odkaz:
https://doaj.org/article/3b4291aa43f942efab0f15dab214ad98
Autor:
Matthias Imboden, Etienne de Coulon, Alexandre Poulin, Christian Dellenbach, Samuel Rosset, Herbert Shea, Stephan Rohr
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
While strain is known to affect cardiac electrophysiology, experimental systems to interrogate the effect of rapid strain cycles on cardiac tissue are lacking. Here the authors introduce a multielectrode array that can induce rapid dynamic strain cyc
Externí odkaz:
https://doaj.org/article/1901c6b298734f24aab8bad39352e00c