A novel framework for multi-hazard loss assessment of tropical cyclones: a county-level interpretable machine learning model
International Journal of Disaster Risk Reduction,
Journal Year:
2025,
Volume and Issue:
unknown, P. 105204 - 105204
Published: Jan. 1, 2025
Language: Английский
A critical review of hurricane risk assessment models and predictive frameworks
Geoscience Frontiers,
Journal Year:
2025,
Volume and Issue:
unknown, P. 102012 - 102012
Published: Feb. 1, 2025
Language: Английский
Exploration and Development of a Structured Multi-Level Fusion in an Ensemble-Based Large-Scale Meta-Decision Model
Information Fusion,
Journal Year:
2024,
Volume and Issue:
unknown, P. 102911 - 102911
Published: Dec. 1, 2024
Language: Английский
Current Situation and Prospect of Geospatial AI in Air Pollution Prediction
Chengqian Wu,
No information about this author
Siyu Lu,
No information about this author
Jiawei Tian
No information about this author
et al.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(12), P. 1411 - 1411
Published: Nov. 24, 2024
Faced
with
increasingly
serious
environmental
problems,
scientists
have
conducted
extensive
research,
among
which
the
importance
of
air
quality
prediction
is
becoming
prominent.
This
article
briefly
reviews
utilization
geographic
artificial
intelligence
(AI)
in
pollution.
Firstly,
this
paper
conducts
a
literature
metrology
analysis
on
research
geographical
AI
used
That
is,
607
documents
are
retrieved
from
Web
Science
(WOS)
using
appropriate
keywords,
and
Citespace
to
summarize
hotspots
frontier
countries
field.
Among
them,
China
plays
constructive
role
fields
research.
The
data
characteristics
Earth
science
direction
field
were
proposed.
It
then
quickly
expanded
investigate
In
addition,
based
summarizing
current
status
Artificial
Neural
Network
(ANN),
Recurrent
(RNN),
hybrid
neural
network
models
predicting
(mainly
PM2.5),
also
proposes
areas
for
improvement.
Finally,
prospects
future
study
aims
development
trends
quality,
as
well
methods,
provide
Language: Английский
Comparison of Digital Literacy Education Strategies for Chinese and Foreign Youth in the Digital Media Era
Qian Zhang,
No information about this author
Di Yang,
No information about this author
Ben Bai
No information about this author
et al.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
In
order
to
realize
the
quantitative
analysis
of
digital
literacy
education
strategies
Chinese
and
foreign
youth,
this
paper
constructs
evaluation
index
system
with
help
a
hierarchical
algorithm
comprehensive
fuzzy
explore
differences
between
compare
youth.
After
analyzing
discussing,
identifies
10
expert
panelists,
conducts
two
rounds
Delphi
method
survey
on
preliminary
consultation
questionnaire,
finally
determines
based
standard
arithmetic
mean
coefficient
variation.
The
indexes
are
divided
into
structure.
judgment
matrix
is
constructed
according
1-9
scale
method.
single
sorting
consistency
tests
carried
out
derive
weight
value
each
index.
Based
indexes,
factors
composed
collection
factors,
semi-trapezoidal
distribution
function
used
determine
subordination
degree
indexes.
principle
calculation
given
model.
Construction.
Using
above
model
evaluate
youths,
result
youths
in
country
M
strong,
an
affiliation
3.9444,
China
medium,
3.1581.
difference
that
large.
strategy
large
extent.
results
summarized
terms
three
dimensions
distance
education,
feedback
communication,
youth
strategies.
Language: Английский