SIMULATION,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 9, 2024
This
paper
presents
a
framework
for
developing
“soft
digital
twin”
(SDT)
reliability
optimization
through
modeling
and
simulation.
The
focus
is
on
demonstrating
the
effectiveness
of
SDT
in
maintenance
task
processes
within
mission-critical
facilities,
which
particularly
essential
reliable
operations
critical
infrastructure
such
as
nuclear
facilities.
need
efficient
completion
tasks
(MTs)
to
ensure
high
minimal
downtime
underscores
challenge
faced
by
managers,
who
desire
predictive
tool
akin
“crystal
ball”
optimal
resource
configuration
face
uncertainties
from
equipment
failures,
staffing
issues,
supply
chain
disruptions.
proposed
functions
this
tool,
leveraging
simulation’s
versatility
provide
insights
into
configurations
staff
planning.
work
extends
prior
research
incorporating
additional
model
validation,
sensitivity
testing,
analysis
impact
various
changes
system.
It
employs
combination
data-driven
frameworks
stochastic
methods
construct
an
adaptive
capable
accommodating
system
behavior.
provides
construction
SDT,
testing
validation
its
results,
application
case
study
facility
focused
replication
then
optimizing
two
key
performance
indicators
based
human
mixtures.
Initial
findings
suggest
that
yields
results
comparable
retrospective
test
datasets,
offering
potential
minimize
MTs’
time
while
maximizing
throughput
specified
frames
scenario
experimentation
optimization.
Technovation,
Journal Year:
2024,
Volume and Issue:
134, P. 103025 - 103025
Published: May 3, 2024
Industry
5.0
is
on
the
horizon,
but
role
of
digital
twins
(DTs)
as
one
its
major
technological
enablers
far
from
being
understood.
This
article
begins
with
a
bibliometric
analysis
and
systematic
review,
followed
by
discussion
insights
obtained
literature
through
lens
strong
structuration
theory.
The
results
include
description
new
paradigm
future-oriented
responsible
physical-digital
convergence,
research
agenda,
proposal
structure
–
agency
(SA)–DT
framework
to
guide
advances
in
twins.
A
concept-centric
used
identify
use
cases,
impacts,
redesigned
forms
physical–digital
interaction,
challenges,
changes
both
human
non-human
agents
increasingly
intertwined
more
advanced
DT
solutions.
Moreover,
this
study
reveals
how
can
be
deployed
address,
an
integrated
manner,
three
main
pillars
5.0:
human-centric,
sustainable,
resilient
industry
transformation.
Practitioners
may
find
our
contribution
helpful
for
their
roadmaps,
which
require
ample
interaction
society
at
all
levels
evidence
practices
current
future
generations.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(9), P. 2793 - 2793
Published: April 27, 2024
This
comprehensive
review
investigates
the
transformative
potential
of
sensor-driven
digital
twin
technology
in
enhancing
healthcare
delivery
within
smart
environments.
We
explore
integration
environments
with
sensor
technologies,
health
capabilities,
and
location-based
services,
focusing
on
their
impacts
objectives
outcomes.
work
analyzes
foundational
encompassing
Internet
Things
(IoT),
Medical
(IoMT),
machine
learning
(ML),
artificial
intelligence
(AI),
that
underpin
functionalities
also
examine
unique
characteristics
homes
hospitals,
highlighting
to
revolutionize
through
remote
patient
monitoring,
telemedicine,
real-time
data
sharing.
The
presents
a
novel
solution
framework
leveraging
twins
address
both
needs
user
requirements.
incorporates
wearable
devices,
AI-driven
analytics,
proof-of-concept
application.
Furthermore,
we
role
services
(LBS)
environments,
emphasizing
enhance
personalized
interventions
emergency
response
capabilities.
By
analyzing
technical
advancements
technologies
applications,
this
contributes
valuable
insights
evolving
landscape
for
healthcare.
identify
opportunities
challenges
associated
emerging
field
highlight
need
further
research
fully
realize
its
improve
well-being.
Journal of Cloud Computing Advances Systems and Applications,
Journal Year:
2024,
Volume and Issue:
13(1)
Published: Aug. 15, 2024
The
concept
of
the
Human
Digital
Twin
(HDT)
has
recently
emerged
as
a
new
research
area
within
domain
digital
twin
technology.
HDT
refers
to
replica
physical-world
human
in
world.
Currently,
on
is
still
its
early
stages,
with
lack
comprehensive
and
in-depth
analysis
from
perspectives
universal
frameworks,
core
technologies,
applications.
Therefore,
this
paper
conducts
an
extensive
literature
review
research,
analyzing
underlying
technologies
establishing
typical
frameworks
which
functions
or
components
are
organized.
Based
findings
aforementioned
work,
proposes
generic
architecture
for
system
describes
function
blocks
corresponding
technologies.
Subsequently,
presents
state
art
their
applications
healthcare,
industry,
daily
life
domains.
Finally,
discusses
various
issues
related
development
points
out
trends
challenges
future
development.
Multimodal Technologies and Interaction,
Journal Year:
2024,
Volume and Issue:
8(6), P. 48 - 48
Published: June 5, 2024
Driven
by
technological
advances
in
various
fields
(AI,
5G,
VR,
IoT,
etc.)
together
with
the
emergence
of
digital
twins
technologies
(HDT,
HAL,
BIM,
etc.),
Metaverse
has
attracted
growing
attention
from
scientific
and
industrial
communities.
This
interest
is
due
to
its
potential
impact
on
people
lives
different
sectors
such
as
education
or
medicine.
Specific
solutions
can
also
increase
inclusiveness
disabilities
that
are
an
impediment
a
fulfilled
life.
However,
security
privacy
concerns
remain
main
obstacles
development.
Particularly,
data
involved
be
comprehensive
enough
granularity
build
highly
detailed
copy
real
world,
including
Human
Digital
Twin
person.
Existing
countermeasures
largely
ineffective
lack
adaptability
specific
needs
applications.
Furthermore,
virtual
worlds
large-scale
varied
terms
hardware
implementation,
communication
interfaces,
software,
which
poses
huge
interoperability
difficulties.
paper
aims
analyse
risks
opportunities
associated
adopting
replicas
humans
(HDTs)
within
challenges
related
managing
identities
this
context.
By
examining
current
landscape,
we
identify
several
open
currently
limit
adoption
HDTs
Metaverse.
Additionally,
explores
range
promising
methodologies
assess
their
suitability
Finally,
two
example
scenarios
presented
Medical
Education
fields.
Advances in psychology, mental health, and behavioral studies (APMHBS) book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 459 - 474
Published: Jan. 3, 2025
This
study
examines
the
current
state
of
neuroscience,
emphasizing
use
machine
learning
to
improve
behavioral
assessment
and
its
therapeutic
applications.
Progress
in
neuroscience
has
facilitated
comprehension
cognitive
aging,
neurological
illnesses,
essential
function
cognition
detecting
decline.
The
increasing
potential
likely
overcomes
aforementioned
deficiencies—consistent
monitoring
early
identification
mental
health—through
automation.
research
will
ultimately
address
AI-related
concerns
regarding
longitudinal
individuals
with
illnesses.
Neurocognitive
testing
may
leverage
significantly
advance
evaluation
management
health,
hence
facilitating
future
enhance
broaden
capabilities
neurolearning
neuropsychology.
