Mathematics,
Год журнала:
2024,
Номер
12(22), С. 3550 - 3550
Опубликована: Ноя. 13, 2024
With
the
advancement
of
large
language
model
(LLM),
demand
for
data
labeling
services
has
increased
dramatically.
Big
models
are
inseparable
from
high-quality,
specialized
scene
data,
training
to
deploying
application
iterations
landing
generation.
However,
how
achieve
intelligent
consistency
and
accuracy
improve
efficiency
in
distributed
middleware
scenarios
is
main
difficulty
enhancing
quality
labeled
at
present.
In
this
paper,
we
proposed
an
asynchronous
federated
learning
optimization
method
based
on
combination
LLM
digital
twin
technology.
By
analysising
comparing
with
other
existing
algorithms,
experimental
results
show
that
our
outperforms
algorithms
terms
performance,
such
as
running
time.
The
validation
good
performance
compared
process
both
solves
problems
a
center.
The International Journal of Logistics Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 23, 2025
Purpose
The
study
examines
the
role
of
how
Digital
Twin
Technology
and
stakeholder
collaboration
in
enhancing
supply
chain
resilience
agility,
specifically
within
humanitarian
aspects.
author
used
theoretical
lenses
Resource-Based
View
to
understand
combining
advanced
technological
resources
relational
could
lead
a
firm
towards
better
performance
conditions
volatility
complexity.
Design/methodology/approach
employs
quantitative
research
approach,
utilizing
structural
equation
modeling
(SEM)
analyse
data
collected
from
key
stakeholders
involved
chains.
model
tests
relationships
between
Integration,
resulting
outcomes,
that
is
agility.
Findings
findings
indicate
notably
improves
agility
driven
by
real-time
sensing,
predictive
analytics
process
alignment.
Additionally,
plays
mediator
enabling
organizations
gain
full
benefits
DTT.
corroborates
importance
combined
use
enable
an
agile
resilient
chain,
especially
settings.
Originality/value
makes
novel
contribution
extending
appreciate
technologies
like
their
integration
presents
comprehensive
integrates
technology,
collaboration,
offers
new
perspectives
on
value
engagement
ensure
innovation
delivers
its
optimum
benefits.
Buildings,
Год журнала:
2024,
Номер
14(11), С. 3613 - 3613
Опубликована: Ноя. 13, 2024
Digital
Twin
(DT)
technology,
as
the
evolution
of
Building
Information
Modeling
(BIM),
has
emerged
to
address
global
concerns
regarding
environmental
impacts
construction
industry
and
meet
sustainability
indicators.
Despite
numerous
studies
targeting
integration
DT
sustainability,
there
is
a
noticeable
gap
in
creating
comprehensive
overview
efforts
future
directions
this
field.
Therefore,
research
aims
provide
both
scientometric
analysis
thematic
review
235
papers
extracted
from
Scopus
database.
These
papers,
all
published
between
2017
2024,
focus
on
previous
efforts,
current
trends,
using
for
sustainability.
In
addition,
34
that
were
cited
more
than
20
times
classified
by
application
into
four
categories:
simulation,
technology
integration,
smart
systems,
literature
review.
Furthermore,
systems
authors
discussed
applications
BIM-DT
construction,
buildings,
infrastructures,
cities
based
most-cited
papers.
Subsequently,
five
gaps
identified
suggested
investigation.
The
gives
holistic
insight
trend
among
researchers,
achievements,
directions.
International Journal of Innovative Technologies in Social Science,
Год журнала:
2025,
Номер
1(45)
Опубликована: Март 17, 2025
Digital
twin
technology
is
revolutionizing
healthcare
by
providing
a
real-time
digital
replica
of
hospital
systems,
enabling
better
decision-making
and
performance
optimization.
This
study
examines
the
implementation
models
in
through
an
analysis
four
real-world
case
studies:
The
Moorfields
Eye
Hospital
(UK),
Singapore
General
Hospital,
Duke
Health
(USA),
Karolinska
University
(Sweden).
By
reviewing
these
cases,
highlights
their
impact
on
operational
efficiency,
resource
utilization,
patient
care
outcomes.
Challenges
faced
during
key
lessons
learned
are
discussed
to
guide
future
adoption
healthcare.
Applied Sciences,
Год журнала:
2025,
Номер
15(10), С. 5333 - 5333
Опубликована: Май 10, 2025
The
main
goal
of
this
study
was
to
provide
a
new
categorization
the
different
types
interactions
between
model-based
system
engineering
(MBSE)
and
digital
twins
(DTs).
To
achieve
goal,
an
overview
relationships
these
two
concepts
obtained
based
on
representative
set
articles.
search
identified
444
unique
valid
records,
which
16
were
selected
for
analysis
article
screening
eligibility
assessments.
articles
then
analyzed
identify
DT-MBSE
relations
area
case
study.
As
result,
classified
into
categories:
MBSE-based
DTs
that
use
MBSE
models.
Finally,
we
present
Perception
system,
systems
designed
monitor
generate
strategic
assets
through
satellite
data
collection,
further
developing
capabilities
established
by
AlfaCrux
mission.
Specifically,
focused
collecting
from
tower
with
micrometeorological
instrumentation
in
Brazilian
Amazon
Rainforest.
modeling
performed
Capella
software
using
Arcadia
method.
In
study,
twin
parallel
five-dimensional
DT
model.
