Journal of engineering system.,
Journal Year:
2024,
Volume and Issue:
2(4), P. 105 - 110
Published: Dec. 1, 2024
By
building
a
virtual
map
of
physical
entity
or
system,
digital
twins
can
be
tested
and
optimized
without
actually
manufacturing
the
product,
reducing
design
iteration
costs
time.
Then,
existing
twin
robotic
arm
system
often
has
limitation
communication
distance,
operation
efficiency
is
underground
work
flow
not
intuitive
so
on.
In
order
to
solve
above
problems,
this
paper
proposes
modeling
scheme
for
robot
arm:
First,
uses
MQTT
remote
communication.
we
built
visual
3D
simulation
platform.
Finally,
through
introduction
screen,
improves
user
experience.
This
proves
validity
rationality
content
experiment.
Therefore,
developed
in
innovative
high
value
both
theoretically
practically
field
twin.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(4), P. 1911 - 1911
Published: Feb. 12, 2025
Transportation
infrastructure
is
central
to
economic
development
and
the
daily
lives
of
citizens.
However,
rapid
urbanization,
increasing
vehicle
ownership,
growing
concerns
about
sustainable
have
significantly
heightened
complexity
managing
these
systems.
Although
digital
twin
(DT)
technology
holds
great
promise,
most
current
research
focuses
on
specific
areas,
lacking
a
comprehensive
framework
that
spans
entire
lifecycle
transportation
infrastructure,
from
planning
construction
operation
maintenance.
The
technical
challenges
integrating
different
DT
systems
remain
unclear,
which
some
extent
limits
potential
in
management
infrastructure.
To
address
this
gap,
review
first
summarizes
fundamental
concepts
architectures
involved
for
such
as
roads,
bridges,
tunnels,
hubs.
From
perspective,
are
categorized
based
functional
scope,
data
integration
methods,
application
stages,
their
key
technologies
basic
frameworks
outlined.
Subsequently,
applications
various
stages
infrastructure—planning
construction,
maintenance,
decommissioning
renewal—are
analyzed,
progress
reviewed
discussed.
Finally,
future
directions
achieving
full
system
encompassing
technical,
operational,
ethical
aspects,
discussed
summarized.
insights
gained
herein
will
be
valuable
researchers,
urban
planners,
engineers,
policymakers.
Journal of Translational Medicine,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: March 19, 2025
As
global
cancer
incidence
and
mortality
rise,
digital
twin
technology
in
precision
medicine
offers
new
opportunities
for
treatment.
This
study
aims
to
systematically
analyze
the
current
applications,
research
trends,
challenges
of
tumor
therapy,
while
exploring
future
directions.
Relevant
literature
up
2024
was
retrieved
from
PubMed,
Web
Science,
other
databases.
Data
visualization
performed
using
R
VOSviewer
software.
The
analysis
includes
initiation
funding
models,
distribution,
sample
size
analysis,
data
processing
artificial
intelligence
applications.
Furthermore,
investigates
specific
applications
effectiveness
diagnosis,
treatment
decision-making,
prognosis
prediction,
personalized
management.
Since
2020,
on
oncology
has
surged,
with
significant
contributions
United
States,
Germany,
Switzerland,
China.
Funding
primarily
comes
government
agencies,
particularly
National
Institutes
Health
U.S.
Sample
reveals
that
large-sample
studies
have
greater
clinical
reliability,
small-sample
emphasize
validation.
In
integration
medical
imaging,
multi-omics
data,
AI
algorithms
is
key.
By
combining
multimodal
dynamic
modeling,
accuracy
models
been
significantly
improved.
However,
different
types
still
faces
related
tool
interoperability
limited
standardization.
Specific
shown
advantages
surgical
planning.
Digital
holds
substantial
promise
therapy
by
optimizing
plans
through
integrated
modeling.
factors
such
as
language
restrictions,
potential
selection
bias,
relatively
small
number
published
this
emerging
field,
which
may
affect
comprehensiveness
generalizability
our
findings.
Moreover,
issues
heterogeneity,
technical
integration,
privacy
ethics
continue
impede
its
broader
application.
Future
should
promote
international
collaboration,
establish
unified
interdisciplinary
standards,
strengthen
ethical
regulations
accelerate
translation
Transactions on Emerging Telecommunications Technologies,
Journal Year:
2025,
Volume and Issue:
36(4)
Published: April 1, 2025
ABSTRACT
Considering
the
rapid
growth
in
user
count
and
increasing
demand
for
higher
data
rates,
we
need
to
optimize
network
strategies
accommodate
more
users
increase
throughput.
Therefore,
this
work
aims
maximum
IoT
nodes
network's
throughput
simultaneously
by
optimizing
node
association
power
allocation
digital
twin
(DT)‐assisted
mobile
edge
computing
(MEC)
network.
The
DT
of
each
cloudlet
is
considered
here
which
helps
association.
technology
make
accurate
optimized
decisions
MEC
creating
real‐time
representations
physical
objects.
This
formulates
optimization
problem
as
a
mixed
integer
nonlinear
programming
problem.
To
solve
proposed
problem,
outer
approximation
algorithm
used
due
its
lesser
complexity.
algorithm's
convergence,
effectiveness,
complexity
leads
‐optimal
solution
=
,
achieved
using
standard
solvers.
simulation
results
terms
associated
demonstrate
effectiveness
approach.
Advances in healthcare information systems and administration book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 28
Published: Feb. 4, 2025
Digital
Twin
(DT)
as
a
virtual
version
of
product
becoming
more
and
popular
across
many
industries
especially
in
the
area
medical
care.
To
generate
testable
simulated
electronic
structure,
massive
amounts
information
must
be
collected
through
Internet
Things
(IoT)
to
support
related
application.
This
technology
assists
alerting
person
receiving
care
events
such
medication
refills,
modifications
diet,
doctor
visits,
life
regular
food
patterns,
blood
glucose
readings.
DT
makes
use
prototypes
driven
by
Artificial
Intelligence
(AI)
significant
amount
gathered
from
various
IoT
devices.
Using
intimate
lens
look
at
state
customized
healthcare
now
its
plans
for
future.
Through
case
studies
examples,
demonstrate
transformative
potential
enhancing
patient
outcomes,
optimizing
delivery,
advancing
personalized
medicine.
Furthermore,
within
larger
framework
sector
Fourth
Industrial
Revolution.
