Innovative Horizons for Sustainable Smart Energy: Exploring the Synergy of 5G and Digital Twin Technologies
Process Integration and Optimization for Sustainability,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 14, 2025
Язык: Английский
Medical Digital Twin: A Review on Technical Principles and Clinical Applications
Journal of Clinical Medicine,
Год журнала:
2025,
Номер
14(2), С. 324 - 324
Опубликована: Янв. 7, 2025
The
usage
of
digital
twins
(DTs)
is
growing
across
a
wide
range
businesses.
health
sector
one
area
where
DT
use
has
recently
increased.
Ultimately,
the
concept
holds
potential
to
enhance
human
existence
by
transforming
disease
prevention,
preservation,
diagnosis,
treatment,
and
management.
Big
data's
explosive
expansion,
combined
with
ongoing
developments
in
data
science
(DS)
artificial
intelligence
(AI),
might
greatly
speed
up
research
development
supplying
crucial
data,
strong
cyber
technical
infrastructure,
scientific
know-how.
field
healthcare
applications
still
its
infancy,
despite
fact
that
there
are
several
programs
military
industry.
This
review's
aim
present
this
cutting-edge
technology,
which
focuses
on
neurology,
as
most
exciting
new
medical
Through
innovative
we
anticipate
formation
global
cooperative
effort
among
stakeholders
improve
care
standard
living
for
millions
people
globally.
Язык: Английский
Distributed Data Privacy Protection via Collaborative Anomaly Detection
Electronics,
Год журнала:
2025,
Номер
14(2), С. 295 - 295
Опубликована: Янв. 13, 2025
Current
anomaly
detection
methods
for
charging
stations
primarily
rely
on
centralized
network
architectures
with
federated
learning
frameworks.
However,
the
rapid
increase
in
number
of
and
expanding
scale
these
networks
impose
significant
communication
traffic
loads.
Consequently,
it
is
essential
to
explore
relationship
between
data
aggregation
among
accuracy
at
individual
stations.
In
this
paper,
we
address
efficient
propose
a
distributed
algorithm
powered
by
learning.
To
be
specific,
introduce
privacy-preserving
scheme,
where
Transformer
model
adopted
effectively
smooth
abnormal
fluctuations,
minimizing
disruptions
nodes.
Furthermore,
develop
framework
incorporating
an
parameter
update
method
without
requiring
prior
knowledge
or
central
node.
Compared
some
existing
solutions,
proposed
approach
significantly
reduces
bandwidth
requirements
while
maintaining
mitigating
isolation
issues.
Extensive
experiments
demonstrate
that
not
only
achieves
high
detecting
anomalies
electric
vehicle
but
also
ensures
robust
user
privacy
protection.
Язык: Английский
REAL-WORLD APPLICATIONS OF DIGITAL TWIN TECHNOLOGY IN PERFORMANCE MANAGEMENT: LESSONS FROM GLOBAL HEALTHCARE CASE STUDIES
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.
Язык: Английский