Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 8898 - 8898
Published: Oct. 14, 2024
(1)
Background:
With
the
acceleration
of
globalization,
various
risks
are
intertwined
and
coupled,
community
emergency
management
is
facing
greater
pressure
than
before.
The
continuous
development
digital
technology
has
made
it
possible
to
empower
with
technology.
Therefore,
urgent
have
a
clear
understanding
research
status
future
direction
empowering
management.
(2)
Methods:
This
study
based
on
Web
Science
database
utilizes
CiteSpace
knowledge
graph
visualization
method
analyze
progress
(3)
Results:
results
indicate
that
from
2000
2024,
amount
been
rise,
involving
multiple
disciplines,
but
there
not
close
mature
cooperation
network
between
different
countries,
institutions,
authors.
topic
shifted
early
single-emergency
integration
emerging
science
technology,
emphasis
role
communities.
Big
data,
machine
learning,
technological
innovation,
healthcare,
resilience
important
directions
for
future.
(4)
Conclusions:
In
future,
we
should
strengthen
in
this
field,
overcome
issues
such
as
divide
security,
promote
further
Advances in healthcare information systems and administration book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 261 - 282
Published: Feb. 9, 2024
Recent
years
have
witnessed
a
significant
convergence
of
artificial
intelligence
(AI)
within
the
healthcare
sector.
This
chapter
explores
transformative
potential
and
challenges
posed
by
these
intelligent
technologies
in
healthcare.
It
various
domains
such
as
predictive
analytics,
telemedicine,
personalized
medicine,
enhancement
operational
efficiencies.
The
findings
underscore
AI
smart
revolutionizing
delivery.
carries
extensive
implications
for
Healthcare
practitioners
administrators
can
leverage
insights
to
strategically
incorporate
solutions,
aiming
improve
patient
outcomes
enhance
organizational
efficiency.
Additionally,
provide
valuable
guidance
policymakers
stakeholders,
informing
creation
guidelines
standards
that
foster
innovation,
ensure
safety,
protect
data
security.
Therefore,
this
is
an
essential
guide
effectively
embracing
role
advancing
practices.
Land,
Journal Year:
2025,
Volume and Issue:
14(1), P. 83 - 83
Published: Jan. 3, 2025
The
digital
transition
is
one
of
the
biggest
challenges
new
millennium.
One
key
drivers
this
need
to
adapt
rapidly
changing
and
heterogeneous
technological
landscape
that
continuously
evolving.
Digital
Twin
(DT)
technology
can
promote
at
an
urban
scale
due
its
ability
monitor,
control,
predict
behaviour
complex
systems
processes.
As
several
scientific
studies
have
shown,
DTs
be
developed
for
infrastructure
city
management,
facing
global
changes.
are
based
on
sensor-distributed
networks
support
management
propose
intervention
strategies
future
forecasts.
In
present
work,
a
three-axial
operative
framework
proposed
developing
DT
system
using
Venice
as
case
study.
three
axes
were
chosen
sustainable
development:
energy,
mobility,
resiliency.
fragile
cultural
heritage,
which
needs
specific
protection
strategies.
methodology
starts
from
analysis
state-of-the-arts
technologies
definition
features.
Three
different
proposed,
aggregating
features
in
list
fields
each
axis.
open-source
database
then
analysed
consider
data
already
available
city.
Finally,
services
results
show
improve
by
adopting
DT.
LatIA,
Journal Year:
2025,
Volume and Issue:
3, P. 88 - 88
Published: Feb. 19, 2025
The
introduction
of
a
deep
learning-based
method
for
non-destructive
leaf
area
index
(LAI)
assessment
has
enhanced
rapid
estimation
wheat
and
similar
crops,
aiding
crop
growth
monitoring,
water,
nutrient
management.
Convolutional
Neural
Network
(CNN)-based
algorithms
enable
accurate,
quantification
seedling
areas
assess
LAI
across
diverse
genotypes
environments,
demonstrating
adaptability.
Transfer
learning,
known
efficiency
in
plant
phenotyping,
was
tested
as
resource-saving
approach
training
the
model.
These
advancements
support
breeding,
facilitate
genotype
selection
varied
accelerate
genetic
gains,
enhance
genomic
LAI.
By
capturing
this
can
improve
resilience
to
climate
change.
Additionally,
advances
machine
learning
data
science
better
prediction
distribution
mapping
global
rust
pathogens,
major
agricultural
challenge.
Accurate
risk
identification
allows
timely
effective
control
measures.
Moreover,
lodging
models
using
CNNs
lodging-prone
varieties,
influencing
decisions
yield
stability.
artificial
intelligence-driven
techniques
contribute
sustainable
enhancement,
especially
context
change
increasing
food
demand.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(24), P. 8161 - 8161
Published: Dec. 21, 2024
In
recent
years,
civil
engineering
has
increasingly
embraced
communication
tools
for
automation,
with
sensors
playing
a
pivotal
role,
especially
in
structural
health
monitoring
(SHM).
These
enable
precise
data
acquisition,
measuring
parameters
like
force,
displacement,
and
temperature
transmit
timely
interventions
to
prevent
failures.
This
approach
reduces
reliance
on
manual
inspections,
offering
more
accurate
outcomes.
review
explores
various
sensor
technologies
SHM,
such
as
piezoelectric,
fibre
optic,
MEMS
devices,
GPS,
LVDT,
electromechanical
impedance
techniques,
Doppler
effect,
piezoceramic
sensors,
focusing
advancements
from
2019
2024.
A
bibliometric
analysis
of
1468
research
articles
WOS
Scopus
databases
shows
significant
increase
publications,
15
359
2023
52
2024
(and
still
counting).
identifies
emerging
trends
applications
smart
integration
monitoring,
enhancing
safety
efficiency
infrastructure
management.
EDPACS,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 20
Published: Jan. 13, 2025
Universities
are
faced
with
several
external
and
internal
constraints
in
implementing
their
digital
transformation,
which
can
sometimes
be
contradictory.
On
the
one
hand,
some
impose
need
for
rapid
change
to
stay
at
forefront
of
scientific
research,
while
others,
related
university
culture,
hinder
this
delay
implementation
transformation.
The
COVID-19
is
major
that
has
disrupted
practices.
had
teaching
methods
all
programs
also
management
record
time.
Some
universities
were
not
sufficiently
prepared
challenge,
stakeholders
adapt
difficult
conditions
accomplish
missions.
In
same
circumstances,
we
noticed
most
companies
did
find
during
transition
from
in-person
fully
remote
work.
This
situation
led
approach
subject
a
very
different
perspective,
based
on
comparison
as
organizations
create
value
within
an
organizational
framework
using
resources.
article
aims
highlight
advances
transformation
through
literature
review.
Then,
projection
these
made
universities.
allowed
set
prerequisites
necessary
success
identified.
Disaster Prevention and Management An International Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 22, 2025
Purpose
Collaborative
effort
plays
an
important
role
in
urban
disaster
risk
reduction.
The
paper
aims
to
explore
how
Shenzhen,
China,
has
applied
the
Triple
Helix
strategy,
integrating
efforts
of
government,
industry
and
academia,
promote
reduction
digitalization.
Design/methodology/approach
In-depth
interviews
were
conducted
with
a
purposive
sample
18
key
informants
(5–7
per
stakeholder
group),
specifically
focusing
on
developing
Smart
Emergency
Management
System.
One
co-authors
participatory
observation
Shenzhen
gain
valuable
insights
into
origins
digitalization
Shenzhen.
Findings
was
initiated
based
model.
Specifically,
collaborative
among
policy-driven
profit-driven
research
interest-driven
academia
taken
establish
digital
system.
As
project
implemented,
citizens
became
increasingly
involved
through
new
platform
established
by
government.
participation
feeds
back
development
most
functions
projects
are
data
sharing
sector
connecting.
Research
limitations/implications
In
country
like
China
large
land
area,
discussions
at
local
level
involve
different
geographical
environments,
population
characteristics
even
cultures.
Therefore,
researchers
encouraged
discuss
more
cases
cultural
backgrounds
further.
Originality/value
This
fulfills
case
serving
as
practical
example
for
other
cities
aiming
improve
their
management
capacities,
not
limited
disaster,
but
developments.
