Machine learning in disaster management: recent developments in methods and applications
Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
[HTML][HTML] Uncertainty in geospatial health: challenges and opportunities ahead
Purpose Uncertainty is not always well captured, understood, or modeled properly, and can
bias the robustness of complex relationships, such as the association between the …
bias the robustness of complex relationships, such as the association between the …
EMOCOV: Machine learning for emotion detection, analysis and visualization using COVID-19 tweets
The adversarial impact of the Covid-19 pandemic has created a health crisis globally all
over the world. This unprecedented crisis forced people to lockdown and changed almost …
over the world. This unprecedented crisis forced people to lockdown and changed almost …
Pre-trained ensemble model for identification of emotion during COVID-19 based on emergency response support system dataset
Abstract The COVID-19 precautions, lockdown, and quarantine implemented throughout the
epidemic resulted in a worldwide economic disaster. People are facing unprecedented …
epidemic resulted in a worldwide economic disaster. People are facing unprecedented …
SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media
Social media platforms have emerged as vital sources of sharing real-time information
during crises, enabling users to share critical details about disasters and ensuring timely …
during crises, enabling users to share critical details about disasters and ensuring timely …
CoronaVis: a real-time COVID-19 tweets data analyzer and data repository
Due to the nature of the data and public interaction, twitter is becoming more and more
useful to understand and model various events. The goal of CoronaVis is to use tweets as …
useful to understand and model various events. The goal of CoronaVis is to use tweets as …
[PDF][PDF] Coronavis: A real-time covid-19 tweets analyzer
The goal of ConronaVis is to use tweets as the information shared by the people to visualize
topic modeling, study subjectivity and to model the human emotions during the COVID-19 …
topic modeling, study subjectivity and to model the human emotions during the COVID-19 …
Building damage evaluation from satellite imagery using deep learning
In recent decades, millions of people are killed by natural disasters such as wildfire,
landslide, tsunami, and volcanic eruption. The efficiency of post-disaster emergency …
landslide, tsunami, and volcanic eruption. The efficiency of post-disaster emergency …
NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets.
MS Jagadeesh, PJA Alphonse - W-NUT@ EMNLP, 2020 - arxiv.org
This paper presents the model submitted by the NIT_COVID-19 team for identified
informative COVID-19 English tweets at WNUT-2020 Task2. This shared task addresses the …
informative COVID-19 English tweets at WNUT-2020 Task2. This shared task addresses the …
Multi-source multimodal data and deep learning for disaster response: a systematic review
Mechanisms for sharing information in a disaster situation have drastically changed due to
new technological innovations throughout the world. The use of social media applications …
new technological innovations throughout the world. The use of social media applications …