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1-14 OF 14 RESULTS FOR
Ronneberg Germany
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Journal Article
Patterns of Benthic Fauna Distribution in Wells: The Role of Anthropogenic Impact and Geology
Journal: Vadose Zone Journal
Publisher: Soil Science Society of America
Published: 01 May 2017
Vadose Zone Journal (2017) 16 (5): 1–9.
... years intensive faunal studies were done in many boreholes used for monitoring subterranean water quality in Germany ( Hahn and Matzke, 2005 ; Hahn and Fuchs, 2009 ; Griebler et al., 2010 ). Samples of invertebrate fauna and water for chemical analyses were collected from 26 wells in particular...
Journal Article
LPPN: A Lightweight Network for Fast Phase Picking
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 22 June 2022
Seismological Research Letters (2022) 93 (5): 2834–2846.
...:1804.02767. Ronneberger O. Fischer P. , and Brox T. 2015 . U‐net: Convolutional networks for biomedical image segmentation , International Conf. on Medical Image Computing and Computer‐Assisted Intervention , Munich, Germany , 5–9 October 2015 . Ross Z. E. Meier M...
Includes: Supplemental Content
Journal Article
Complete perception self-attention network for weak seismic signal recovery in distributed acoustic sensing vertical seismic profile data
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 11 October 2023
Geophysics (2023) 88 (6): WC107–WC119.
... for some fields of data processing ( Ronneberger et al., 2015 ; Simonyan and Zisserman, 2015 ; Zhang et al., 2017 ). Because convolutional neural networks (CNNs) perform well in learning prior information from a large amount of data, this makes networks preferable to classical algorithms and has recently...
Journal Article
DMLoc: Automatic Microseismic Locating Workflow Based on Deep Learning and Waveform Migration
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 13 May 2024
Seismological Research Letters (2024) 95 (5): 2997–3007.
... . Ronneberger O. Fischer P. , and Brox T. 2015 . U‐net: Convolutional networks for biomedical image segmentation , Medical Image Computing and Computer‐Assisted Intervention–MICCAI 2015: 18th International Conference , Munich, Germany , 5–9 October , Proceedings, Part III 18, Springer , 234...
Includes: Supplemental Content
Journal Article
Uncertainty quantification in fault detection using convolutional neural networks
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 19 March 2021
Geophysics (2021) 86 (3): M41–M48.
.... As in simplified networks from U-Net ( Ronneberger et al., 2015 ), the number of convolutional filters and features in FaultSeg3D is reduced to save computer memory and training time. In this example, 200 and 20 pairs of synthetic seismic cubes and fault images are used to train and validate the proposed networks...
Journal Article
A deep learning benchmark for first break detection from hardrock seismic reflection data
Journal: Geophysics
Publisher: Society of Exploration Geophysicists
Published: 13 December 2023
Geophysics (2024) 89 (1): WA279–WA294.
... architecture of Ronneberger et al. (2015) is a good example of an encoder-decoder setup that can predict sample-wise attributes (such as the first break probability) over an entire line gather at once. This particular architecture seems to have been the most popular design choice for first break picking...
Journal Article
DevelNet: Earthquake Detection on Develocorder Films with Deep Learning: Application to the Rangely Earthquake Control Experiment
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 01 July 2022
Seismological Research Letters (2022) 93 (5): 2515–2528.
... into a modern usable resource , Seismol. Res. Lett. 91 , no. 3 , 1531 – 1541 . Ronneberger O. Fischer P. , and Brox T. 2015 . U‐net: Convolutional networks for biomedical image segmentation , Int. Conf. on Medical Image Computing and Computer‐Assisted Intervention , Munich, Germany...
Includes: Supplemental Content
Journal Article
Simultaneous Seismic Phase Picking and Polarity Determination with an Attention‐Based Neural Network
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 19 January 2023
Seismological Research Letters (2023) 94 (2A): 813–828.
... is similar to the structure of U‐net ( Ronneberger et al. , 2015 ) with the encoder. The three pooling layers of the encoder and the three up‐sampling layers of the decoder ensure the consistency of input and output dimensions. The fully connected layers are used to constitute a classifier to classify...
Includes: Supplemental Content
Journal Article
Estimation of CO 2 saturation maps from synthetic seismic data using a deep-learning method with a multi-scale approach
Journal: Geoenergy
Publisher: Geological Society of London
Published: 25 October 2024
Geoenergy (2024) 2 (1): geoenergy2023-057.
... of images, DL can provide models that exploit the hierarchical structure within the images, such as local combinations of edges and patterns to achieve a desired output. Within the broad panorama of DL, a noteworthy architecture suitable for semantic segmentation tasks is the U-Net ( Ronneberger et al...
Journal Article
An Efficient Transfer Learning‐Based OBS Seismic Phase Picker (OBSPD) Trained on Cascadia Subduction Zone Earthquake Dataset
Zhangbao Cheng, Yen Joe Tan, Fan Zhang, Pengcheng Zhou, Jian Lin, Jinyu Tian, Xubo Zhang, Caicai Zha
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 03 November 2023
Seismological Research Letters (2024) 95 (2A): 834–847.
... the U‐GPD network architecture (Fig. 3 ; Lapins et al. , 2021 ) that redesigned the existing seismological generalized phase detection (GPD) model ( Ross et al. , 2018 ) with a U‐Net architecture ( Ronneberger et al. , 2015 ). The original GPD model architecture consists of convolutional layers...
Journal Article
Achieving a Comprehensive Microseismicity Catalog through a Deep‐Learning‐Based Workflow: Applications in the Central Ecuadorian Subduction Zone
Alexander Wickham‐Piotrowski, Yvonne Font, Marc Regnier, Bertrand Delouis, Olivier Lengliné, Monica Segovia, Quentin Bletery
Publisher: Seismological Society of America
Published: 21 December 2023
Bulletin of the Seismological Society of America (2024) 114 (2): 823–841.
... , doi: 10.1126/sciadv.aao6596 . Ronneberger O. Fischer P. , and Brox T. 2015 . U‐Net: Convolutional networks for biomedical image segmentation , BIOSS Centre for Biological Signalling Studies , Department of Computer Science , University of Freiburg , Germany , 1 – 8 pp...
Includes: Supplemental Content
Journal Article
A new, stratigraphically significant Torquigraptus species (Silurian graptolite) from the Southern Uplands Terrane
Journal: Scottish Journal of Geology
Publisher: Geological Society of London
Published: 01 June 2003
Scottish Journal of Geology (2003) 39 (1): 17–28.
...). 'Spirograptus' conspectus Přibyl 1944 occurs in the sedgwickii and linnaei biozones of Germany. It was tentatively referred to Torquigraptus by Loydell (1993 ), but its thecae may be symmetrically hooked. Its rhabdosome forms a helical spiral with up to three whorls, and in this respect resembles T...
Journal Article
A Deep‐Learning Phase Picker with Calibrated Bayesian‐Derived Uncertainties for Earthquakes in the Yellowstone Volcanic Region
Publisher: Seismological Society of America
Published: 25 September 2023
Bulletin of the Seismological Society of America (2023) 113 (6): 2323–2344.
.... Res. Lett. 93 , 1673 – 1682 . Ronneberger O. Fischer P. , and Brox T. 2015 . U‐net: Convolutional networks for biomedical image segmentation , International Conf. on Medical Image Computing and Computer‐Assisted Intervention , Munich, Germany , 5–9 October 2015 , Vol. 9351...
Includes: Supplemental Content
Journal Article
2022 Annual Meeting
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 01 April 2022
Seismological Research Letters (2022) 93 (2B): 1115–1372.
... the Finite-fault Rupture Detector (FinDer) in New Zealand. Böse, M., Behr, Y., Massin, F., Andrews, J. 54. An Earthquake Early Warning System for the Lower Rhine Embayment, Germany. Najdahmadi, B., Pilz, M., Razafindrakoto, H., Oth, A., Cotton, F. 55. Low-latency Digitization, Communication and Alerting...