Results 1 to 10 of about 1,522,294 (308)
Classification of Building Damage Using a Novel Convolutional Neural Network Based on Post-Disaster Aerial Images [PDF]
Sensors, 2022 The accurate and timely identification of the degree of building damage is critical for disaster emergency response and loss assessment. Although many methods have been proposed, most of them divide damaged buildings into two categories—intact and ...
Zhonghua Hong +9 more
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Distributed Small-Step Path Planning and Detection Method for Post-earthquake Robot to Inspect and Evaluate Building Damage [PDF]
Frontiers in Neurorobotics, 2022 Post-earthquake robots can be used extensively to inspect and evaluate building damage for safety assessment. However, the surrounding environment and path for such robots are complex and unstable with unexpected obstacles.
Zhaojia Tang +9 more
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Building damage-resilient dominating sets in complex networks against random and targeted attacks. [PDF]
Sci Rep, 2015 We study the vulnerability of dominating sets against random and targeted node removals in complex networks. While small, cost-efficient dominating sets play a significant role in controllability and observability of these networks, a fixed and intact ...
Molnár F +3 more
europepmc +3 more sources
The Impact of High-Energy Mining-Induced Tremor in a Fault Zone on Damage to Buildings
Energies, 2021 Seismic energy propagation from the hypocentre of mining-induced tremors usually causes an uneven distribution of the peak ground velocity PGVHmax in tectonically complicated structures, and consequently, an uneven distribution of damage to buildings ...
Elżbieta Pilecka +5 more
doaj +1 more source
Applied Sciences, 2023 On 6 February 2023, southeastern Turkey was struck by two major earthquakes that devastated 11 provinces. Tens of thousands of buildings collapsed and more were later demolished.
Spyridon Mavroulis +5 more
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Detection of Earthquake-Induced Building Damages Using Polarimetric SAR Data
Remote Sensing, 2020 Remote sensing, particularly using synthetic aperture radar (SAR) systems, can be an effective tool in detecting and assessing the area and amount of building damages caused by earthquake or tsunami.
Sang-Eun Park, Yoon Taek Jung
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Towards operational impact forecasting of building damage from winter windstorms in Switzerland
Meteorological Applications, 2021 National meteorological and hydrological services issue warnings for severe weather events, typically based on stakeholder‐agreed fixed thresholds of meteorological parameters such as wind speeds or precipitation amounts.
Thomas Röösli +2 more
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Remote Sensing, 2022 Real-time building damage detection effectively improves the timeliness of post-earthquake assessments. In recent years, terrestrial images from smartphones or cameras have become a rich source of disaster information that may be useful in assessing ...
Chaoxian Liu +4 more
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Transfer Learning for Improving Seismic Building Damage Assessment
Remote Sensing, 2022 The rapid assessment of building damage in earthquake-stricken areas is of paramount importance for emergency response. The development of remote sensing technology has aided in deriving reliable and precise building damage assessments of extensive areas
Qigen Lin +5 more
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Remote Sensing, 2022 It is of great significance for emergency rescue to rapidly assess damage of buildings after an earthquake. Some previous methods are time-consuming, data are difficult to obtain, or there is lack of regional damage assessment. We proposed a novel way to
Jin Chen +3 more
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