Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives
A Fascista - Sensors, 2022 - mdpi.com
Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …
interest and sources of hot debate in today's society. According to the United Nations, there …
Technological innovations for enhancing disaster resilience in smart cities: a comprehensive urban Scholar's analysis
Despite advancements, Smart Cities encounter hazards. Smart Cities' higher reliance on
interconnected systems and networks makes them susceptible to risks beyond conventional …
interconnected systems and networks makes them susceptible to risks beyond conventional …
Improving crisis events detection using distilbert with hunger games search algorithm
This paper presents an alternative event detection model based on the integration between
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
R Koshy, S Elango - Neural Computing and Applications, 2023 - Springer
The goal of this research is to use social media to gain situational awareness in the wake of
a crisis. With the developments in information and communication technologies, social …
a crisis. With the developments in information and communication technologies, social …
Wireless Sensor Networks for Disaster Management and Emergency Response using SVM Classifier
Wireless Sensor Networks (WSNs) are essential for IoT-enabled crisis management and
executive response. This paper explores WSNs' function in catastrophe situations and …
executive response. This paper explores WSNs' function in catastrophe situations and …
Generalization of convolutional network to domain adaptation network for classification of disaster images on twitter
Social media evolution in the recent past has drastically changed the way the affected
community responds to any disaster. Within moments of happening of any disaster the …
community responds to any disaster. Within moments of happening of any disaster the …
[HTML][HTML] A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence
The development of a system that monitors social media continuously for general landslide-
related content using a landslide classification model to identify and retain the most relevant …
related content using a landslide classification model to identify and retain the most relevant …
Camm: cross-attention multimodal classification of disaster-related tweets
During the past decade, social media platforms have been extensively used for information
dissemination by the affected community and humanitarian agencies during a disaster …
dissemination by the affected community and humanitarian agencies during a disaster …
Predicting factors affecting preparedness of volcanic eruption for a sustainable community: A case study in the Philippines
Volcanic eruption activity across the world has been increasing. The recent eruption of Taal
volcano and Mt. Bulusan in the Philippines affected several people due to the lack of …
volcano and Mt. Bulusan in the Philippines affected several people due to the lack of …
Determining factors affecting perceived effectiveness among filipinos for fire prevention preparedness in the national capital region, Philippines: integrating protection …
The Philippines is one of the countries in Asia known to be vulnerable to the severe effects
of fire disasters as the country loses a considerable amount worth of damages due to fire …
of fire disasters as the country loses a considerable amount worth of damages due to fire …