Unpacking the role of volunteered geographic information in disaster management: focus on data quality
M Tavra, A Lisec, M Galešić Divić… - … , Natural Hazards and …, 2024 - Taylor & Francis
The increasing occurrence of disasters worldwide has motivated researchers to
continuously evaluate potential technological advances to support disaster management …
continuously evaluate potential technological advances to support disaster management …
Where should one get news updates: Twitter or Reddit
The last decade witnessed an enormous growth in popularity of several social media
platforms. Although these platforms are generally meant to share information and opinions …
platforms. Although these platforms are generally meant to share information and opinions …
A novel method for identifying the damage assessment tweets during disaster
S Madichetty, M Sridevi - Future Generation Computer Systems, 2021 - Elsevier
Detecting the damage assessment tweets is beneficial to both humanitarian organizations
and victims during a disaster. Most of the previous works that identify tweets during a …
and victims during a disaster. Most of the previous works that identify tweets during a …
TAQE: tweet retrieval-based infrastructure damage assessment during disasters
Twitter is an active communication channel for the spreading of updated information in
emergency situations. Retrieving specific information related to infrastructure damage offers …
emergency situations. Retrieving specific information related to infrastructure damage offers …
Twitter, disasters and cultural heritage: A case study of the 2015 Nepal earthquake
P Kumar - Journal of Contingencies and Crisis Management, 2020 - Wiley Online Library
The purpose of this paper was to understand how Twitter users responded to the cultural
heritage damaged during the 2015 Nepal earthquake. This paper utilizes 201,457 tweets …
heritage damaged during the 2015 Nepal earthquake. This paper utilizes 201,457 tweets …
Endea: Ensemble based decoupled adversarial learning for identifying infrastructure damage during disasters
Identifying tweets related to infrastructure damage during a crisis event is an important
problem. However, the unavailability of labeled data during the early stages of a crisis event …
problem. However, the unavailability of labeled data during the early stages of a crisis event …
Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model
Identification of infrastructure and human damage assessment tweets is beneficial to
disaster management organizations as well as victims during a disaster. Most of the prior …
disaster management organizations as well as victims during a disaster. Most of the prior …
Let's explain crisis: deep multi-scale hierarchical attention framework for crisis-task identification
Emergency services rely heavily on Twitter for early detection of crisis tasks to enhance
crisis management systems. However, employing state-of-the-art models often face data …
crisis management systems. However, employing state-of-the-art models often face data …
Forecasting traffic flow in big cities using modified tucker decomposition
An efficient traffic-network is an essential demand for any smart city. Usually, city traffic forms
a huge network with millions of locations and trips. Traffic flow prediction using such large …
a huge network with millions of locations and trips. Traffic flow prediction using such large …
Identifying infrastructure damage during earthquake using deep active learning
Twitter provides important information for emergency responders in the rescue process
during disasters. However, tweets containing relevant information are sparse and are …
during disasters. However, tweets containing relevant information are sparse and are …