[Free GPT-4]
[DeepSeek]
[DeepSeek]
With increasing urbanization, in recent years there has been a growing interest and need in
monitoring and analyzing urban flood events. Social media, as a new data source, can …
monitoring and analyzing urban flood events. Social media, as a new data source, can …
Deepsdc: Deep ensemble learner for the classification of social-media flooding events
Disasters such as earthquakes, droughts, floods, and volcanoes adversely affect human
lives and valuable resources. Therefore, various response systems have been designed …
lives and valuable resources. Therefore, various response systems have been designed …
How deep features have improved event recognition in multimedia: A survey
Event recognition is one of the areas in multimedia that is attracting great attention of
researchers. Being applicable in a wide range of applications, from personal to collective …
researchers. Being applicable in a wide range of applications, from personal to collective …
Assessing flood severity from crowdsourced social media photos with deep neural networks
The use of social media data in disaster and crisis management is increasing rapidly.
Particularly in connection to flooding events, geo-referenced images shared by citizens can …
Particularly in connection to flooding events, geo-referenced images shared by citizens can …
People and vehicles in danger-a fire and flood detection system in social media
This paper presents a novel warning system framework for detecting people and vehicles in
danger. The system was tested in several images compiled from Flickr and other social …
danger. The system was tested in several images compiled from Flickr and other social …
Oil spill identification using deep convolutional neural networks
Oil spill detection is an extremely important topic in which Machine Learning (ML) can be
utilized because oil spills that go undetected can cause huge environmental negative …
utilized because oil spills that go undetected can cause huge environmental negative …
Active learning for event detection in support of disaster analysis applications
Disaster analysis in social media content is one of the interesting research domains having
an abundance of data. However, there is a lack of labeled data that can be used to train …
an abundance of data. However, there is a lack of labeled data that can be used to train …
Flood detection in social media images using visual features and metadata
Images uploaded to social media platforms such as Twitter and Flickr have become a
potential source of information about natural disasters. However, due to their lower reliability …
potential source of information about natural disasters. However, due to their lower reliability …