Results 11 to 20 of about 496,317 (169)
Deep Learning for Information Triage on Twitter
Applied Sciences, 2021 In this paper, we present a Deep Learning-based system for the support of information triaging on Twitter during emergency situations, such as disasters, or other influential events, such as political elections. The system is based on the assumption that
Michal Ptaszynski +7 more
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First report of Fusarium tricinctum on narrow-leaved ash (Fraxinus angustifolia Vahl.) in Serbia [PDF]
Zbornik Matice Srpske za Prirodne Nauke, 2022 Monitoring the health status of narrow-leaved ash tree seedlings (forest office Morović, locality Vinična) in the early spring of 2015, after the catastrophic floods in May 2014, revealed presence of large dark necrotic areas on 1-2 year old ...
Medić-Pap Slađana S. +6 more
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Geoscience Data Journal, 2023 The collection and use of data on climate change and its impacts are crucial for effective climate adaptation and climate risk management. The revolution in internet access, technology and costs has led to a shift from using traditional paper‐based data ...
Olalekan Adekola +6 more
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Geographic variability of post-disaster mental health: case study after the 2017 flood in Bangladesh
Geospatial Health, 2021 Every year Bangladesh faces enormous damages due to flooding. Facing these damages the Government adopts various recovery approaches. However, the psychological dimension of any disaster is generally overlooked in disaster management.
Khandakar Hasan Mahmud +2 more
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Acta Universitatis Carolinae Geographica, 2021 The goal of this study was to assess impact of flood on soil and vegetation cover in the Sazava river floodplain after an extreme spring flood in 2006. The impact on soil cover resulted mainly in vast erosion and sedimentation leading to differentiation ...
Tomáš Chuman
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Journal of Flood Risk Management, 2022 Flood risk managers face increasing challenges in anticipating future developments and coordinating flood risk management on a regional level. The regional floodplain evaluation matrix (RegioFEM), a method to support a future‐oriented flood risk ...
Markus Eder +10 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Acute hydrological natural hazards, such as floods, not only affect the lives and properties of people but also cause severe damage to the critical infrastructures, which needs to be function even in substandard situations.
Hamid Reza Pourghasemi +6 more
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The need for training and benchmark datasets for convolutional neural networks in flood applications
Hydrology Research, 2022 Flood-related image datasets from social media, smartphones, CCTV cameras, and unmanned aerial vehicles (UAVs) present valuable data for the management of flood risk, and particularly for the application of modern convolutional neural networks (CNNs) to ...
Abdou Khouakhi +2 more
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KPCA over PCA to assess urban resilience to floods [PDF]
E3S Web of Conferences, 2021 Global increases in the occurrence and frequency of flood have highlighted the need for resilience approaches to deal with future floods. The principal component analysis (PCA) has been used widely to understand the resilience of the urban system to ...
Satour Narjiss +3 more
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Risk perception and vulnerability of value: a study in the context of commercial property sector
International Journal of Strategic Property Management, 2016 The research was developed linking the impact of flood risk on utility, desirability and marketability related to vulnerability of commercial property value.
Namrata Bhattacharya-Mis, Jessica Lamond
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