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 …
A cyber–physical–social perspective on future smart distribution systems
An increasing number of distributed energy resources (DERs), such as rooftop photovoltaic
(PV), electric vehicles (EVs), and distributed energy storage, are being integrated into the …
(PV), electric vehicles (EVs), and distributed energy storage, are being integrated into the …
Data collection tools for post-disaster damage assessment of building and lifeline infrastructure systems
JM Lozano, I Tien - International journal of disaster risk reduction, 2023 - Elsevier
After a disaster event such as an earthquake or a hurricane, performing comprehensive and
detailed damage assessment of lifeline infrastructure is critical to effective disaster response …
detailed damage assessment of lifeline infrastructure is critical to effective disaster response …
Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models
Smart grids represent a paradigm shift in the electricity industry, moving from traditional one‐
way systems to more dynamic, interconnected networks. These grids are characterised by …
way systems to more dynamic, interconnected networks. These grids are characterised by …
A survey on event and subevent detection from microblog data towards crisis management
SR Chowdhury, S Basu, U Maulik - … Journal of Data Science and Analytics, 2022 - Springer
Social media data analysis is a popular research domain since the last decade. Detecting
the events and sub-events from social media posts that require special attention is one of the …
the events and sub-events from social media posts that require special attention is one of the …
Social media driven big data analysis for disaster situation awareness: A tutorial
Situational awareness tries to grasp the important events and circumstances in the physical
world through sensing, communication, and reasoning. Tracking the evolution of changing …
world through sensing, communication, and reasoning. Tracking the evolution of changing …
Analysing hurricane-induced power outage using VIIRS/DNB time series: comparisons of three automated detection approaches
Hurricanes are one of the primary causes of major power outages. Understanding the
damage and recovery of the electricity system is useful to repair damaged power plants and …
damage and recovery of the electricity system is useful to repair damaged power plants and …
Coverage is not binary: Quantifying mobile broadband quality in urban, rural, and tribal contexts
Cellular network performance does not cleanly generalize. A variety of factors, such as
location, terrain, signal quality and network load, affect the performance of services …
location, terrain, signal quality and network load, affect the performance of services …
Methods of Calculating Usefulness Ratings of Behavioral Facilitation Tweets in Disaster Situations
F Yamamoto, T Kumamoto, Y Suzuki… - Proceedings of the 11th …, 2022 - dl.acm.org
When a severe disaster strikes, people transmit various information about the disaster. This
kind of information is circulated especially on Twitter, an extremely popular social …
kind of information is circulated especially on Twitter, an extremely popular social …
Social media sensors for weather-caused outage prediction based on spatio-temporal multiplex network representation
This study investigates severe weather events that lead to power outages. Despite extensive
research on using social media during disasters, little work has focused on combining social …
research on using social media during disasters, little work has focused on combining social …