[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities

Z Ma, G Mei - Earth-Science Reviews, 2021 - Elsevier
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

Automated avalanche map** from SPOT 6/7 satellite imagery with deep learning: results, evaluation, potential and limitations

ED Hafner, P Barton, RC Daudt, JD Wegner… - The …, 2022 - tc.copernicus.org
Spatially dense and continuous information on avalanche occurrences is crucial for
numerous safety-related applications such as avalanche warning, hazard zoning, hazard …

Recent Advances of Deep Learning in Geological Hazard Forecasting.

J Wang, P Sun, L Chen, J Yang… - … -Computer Modeling in …, 2023 - search.ebscohost.com
Geological hazard is an adverse geological condition that can cause loss of life and
property. Accurate prediction and analysis of geological hazards is an important and …

Performance of manual and automatic detection of dry snow avalanches in Sentinel-1 SAR images

M Eckerstorfer, HD Oterhals, K Müller, E Malnes… - Cold Regions Science …, 2022 - Elsevier
Radar satellite-borne snow avalanche detection has rapidly grown into an important method
for monitoring of avalanche activity over large spatial and long temporal scales. With …

Backscatter characteristics of snow avalanches for map** with local resolution weighting

C Tompkin, S Leinss - IEEE Journal of Selected Topics in …, 2021 - ieeexplore.ieee.org
Snow avalanches cause a sudden change of snow properties making them detectable with
synthetic aperture radar (SAR). However, steep alpine terrain combined with the slant view …

Combining OBIA, CNN, and UAV photogrammetry for automated avalanche deposit detection and characterization

SK Dewali, K Jain, D Varshney, S Dhamija… - Advances in Space …, 2023 - Elsevier
Avalanche activities in the snow-covered mountainous slopes are very frequent and
stochastically distributed over time and geographical extents. Conventional methods of …

The effect of experimentally-induced diabetes on rat hippocampus and the potential neuroprotective effect of Cerebrolysin combined with insulin. A histological and …

D El-Adli, SA Gawish, AAEFM AbdElFattah… - Egyptian Journal of …, 2023 - Taylor & Francis
Diabetes Mellitus is the most common metabolic disorder affecting central nervous system
(CNS) and is associated with altered brain structure. In this study, we assessed the ability of …

Snow Avalanche Backscatter Characteristics and Their Benefit for Avalanche Map** with Local Resolution Weighting

C Tompkini, S Leinss - 2021 IEEE International Geoscience …, 2021 - ieeexplore.ieee.org
Snow avalanches cause a sudden change of surface roughness which makes them
detectable with synthetic aperture radar (SAR). However, in mountainous terrain the slant …

[PDF][PDF] Charakterisierung pathologischer morphologischer Veränderungen in hippocampalen Slice-Kulturen nach induzierter Hyperthermie, einem in-vitro-Modell …

S Rana - 2022 - scholar.archive.org
Methode: Hierzu wurden organotypische hippocampale Slice-Kulturen (OHSC) aus 5 Tage
alten Wistar-Wildtyp-Ratten präpariert und über 2 Tage in-vitro (DIV) bei 37 C kultiviert. Die …

[CITA][C] Deep Learning for automatic target recognition in synthetic aperture radar images

NM de Barros Ferreira - 2020