Federated learning for smart cities: A comprehensive survey
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …
data, fog computing, and edge computing, smart city applications have suffered from issues …
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 …
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Social media data for environmental sustainability: A critical review of opportunities, threats, and ethical use
Social media data are transforming sustainability science. However, challenges from
restrictions in data accessibility and ethical concerns regarding potential data misuse have …
restrictions in data accessibility and ethical concerns regarding potential data misuse have …
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …
Assessing the impact of fractional vegetation cover on urban thermal environment: A case study of Hangzhou, China
M Zhang, S Tan, C Zhang, S Han, S Zou… - Sustainable Cities and …, 2023 - Elsevier
The large-scale urbanization has changed the surface characteristics of cities, seriously
affected the urban heat balance, and worsened the urban thermal environment. The …
affected the urban heat balance, and worsened the urban thermal environment. The …
Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics
COVID-19 blocked Wuhan in China, which was sealed off on Chinese New Year's Eve.
During this period, the research on the relevant topics of COVID-19 and emotional …
During this period, the research on the relevant topics of COVID-19 and emotional …
[HTML][HTML] Social media use in disaster recovery: A systematic literature review
Studies on the role of social media in disaster management have so far focused mainly on
early phases of the disaster response process. Published evidence regarding the scope and …
early phases of the disaster response process. Published evidence regarding the scope and …
Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media
Timely understanding of affected areas during disasters is essential for the implementation
of emergency response activities. As one of the low-cost and information-rich volunteer …
of emergency response activities. As one of the low-cost and information-rich volunteer …
Community-scale big data reveals disparate impacts of the Texas winter storm of 2021 and its managed power outage
CC Lee, M Maron, A Mostafavi - Humanities and Social Sciences …, 2022 - nature.com
Aggregated community-scale data could be harnessed to provide insights into the disparate
impacts of managed power outages, burst pipes, and food inaccessibility during extreme …
impacts of managed power outages, burst pipes, and food inaccessibility during extreme …