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[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
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 …
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
Spatially dense and continuous information on avalanche occurrences is crucial for
numerous safety-related applications such as avalanche warning, hazard zoning, hazard …
numerous safety-related applications such as avalanche warning, hazard zoning, hazard …
Recent Advances of Deep Learning in Geological Hazard Forecasting.
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 …
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
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 …
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 …
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 …
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 …
(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 …
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 …
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