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Deep learning approaches for wildland fires using satellite remote sensing data: Detection, map**, and prediction
Wildland fires are one of the most dangerous natural risks, causing significant economic
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …
Advances in rapid damage identification methods for post-disaster regional buildings based on remote sensing images: A survey
J Gu, Z ** by integrating satellite imagery, GIS, and deep learning
Efficient and accurate building damage assessment is crucial for effective emergency
response and resource allocation following natural hazards. However, traditional methods …
response and resource allocation following natural hazards. However, traditional methods …
War related building damage assessment in Kyiv, Ukraine, using Sentinel-1 radar and Sentinel-2 optical images
Natural and anthropogenic disasters can cause significant damage to urban infrastructure,
landscape, and loss of human life. Satellite based remote sensing plays a key role in rapid …
landscape, and loss of human life. Satellite based remote sensing plays a key role in rapid …
Large‐scale building damage assessment using a novel hierarchical transformer architecture on satellite images
This paper presents damage assessment using a hierarchical transformer architecture
(DAHiTrA), a novel deep‐learning model with hierarchical transformers to classify building …
(DAHiTrA), a novel deep‐learning model with hierarchical transformers to classify building …
D2ANet: Difference-aware attention network for multi-level change detection from satellite imagery
Recognizing dynamic variations on the ground, especially changes caused by various
natural disasters, is critical for assessing the severity of the damage and directing the …
natural disasters, is critical for assessing the severity of the damage and directing the …
[HTML][HTML] A combined text-based and metadata-based deep-learning framework for the detection of spam accounts on the social media platform twitter
AS Alhassun, MA Rassam - Processes, 2022 - mdpi.com
Social networks have become an integral part of our daily lives. With their rapid growth, our
communication using these networks has only increased as well. Twitter is one of the most …
communication using these networks has only increased as well. Twitter is one of the most …