Smart Cities,
Год журнала:
2025,
Номер
8(1), С. 23 - 23
Опубликована: Фев. 5, 2025
The
rapid
evolution
of
smart
city
technologies
has
expanded
digital
twin
(DT)
applications
from
industrial
to
urban
contexts.
However,
current
twins
(UDTs)
remain
predominantly
focused
on
the
physical
aspects
environments
(“spaces”),
often
overlooking
interwoven
social
dimensions
that
shape
concept
“place”.
This
limitation
restricts
their
ability
fully
represent
complex
interplay
between
and
systems
in
settings.
To
address
this
gap,
paper
introduces
(SDT),
which
integrates
into
UDTs
bridge
divide
technological
lived
experience.
Drawing
an
extensive
literature
review,
study
defines
key
components
for
transitioning
SDTs,
including
conceptualization
modeling
human
interactions
(geo-individuals
geo-socials),
applications,
participatory
governance,
community
engagement.
Additionally,
it
identifies
essential
analytical
tools
implementing
outlines
research
gaps
practical
challenges,
proposes
a
framework
integrating
dynamics
within
UDTs.
emphasizes
importance
active
participation
through
governance
model
offers
comprehensive
methodology
support
researchers,
technology
developers,
policymakers
advancing
SDT
applications.
Future Generation Computer Systems,
Год журнала:
2023,
Номер
143, С. 401 - 419
Опубликована: Фев. 14, 2023
Since
Facebook
officially
changed
its
name
to
Meta
in
Oct.
2021,
the
metaverse
has
become
a
new
norm
of
social
networks
and
three-dimensional
(3D)
virtual
worlds.
The
aims
bring
3D
immersive
personalized
experiences
users
by
leveraging
many
pertinent
technologies.
Despite
great
attention
benefits,
natural
question
is
how
secure
users'
digital
content
data.
In
this
regard,
blockchain
promising
solution
owing
distinct
features
decentralization,
immutability,
transparency.
To
better
understand
role
metaverse,
we
aim
provide
an
extensive
survey
on
applications
for
metaverse.
We
first
present
preliminary
highlight
motivations
behind
use
Next,
extensively
discuss
blockchain-based
methods
from
technical
perspectives,
such
as
data
acquisition,
storage,
sharing,
interoperability,
privacy
preservation.
For
each
perspective,
challenges
then
can
help.
Moreover,
investigate
impact
key-enabling
technologies
including
Internet-of-Things,
twins,
multi-sensory
applications,
artificial
intelligence,
big
also
some
major
projects
showcase
services.
Finally,
directions
drive
further
research
innovations
developments
toward
future.
Sensors,
Год журнала:
2022,
Номер
22(6), С. 2087 - 2087
Опубликована: Март 8, 2022
The
21st
century
has
seen
rapid
changes
in
technology,
industry,
and
social
patterns.
Most
industries
have
moved
towards
automation,
human
intervention
decreased,
which
led
to
a
revolution
industries,
named
the
fourth
industrial
(Industry
4.0).
Industry
4.0
or
(IR
4.0)
relies
heavily
on
Internet
of
Things
(IoT)
wireless
sensor
networks
(WSN).
IoT
WSN
are
used
various
control
systems,
including
environmental
monitoring,
home
chemical/biological
attack
detection.
devices
applications
process
extracted
data
from
transmit
them
remote
locations.
This
systematic
literature
review
offers
wide
range
information
4.0,
finds
research
gaps,
recommends
future
directions.
Seven
questions
addressed
this
article:
(i)
What
contributions
IR
4.0?
(ii)
(iii)
types
coverage
areas
for
(iv)
major
network
intruders
systems?
(v)
prominent
security
attacks
IoT?
(vi)
significant
issues
frameworks?
(vii)
limitations
gaps
existing
work?
study
mainly
focuses
solutions
new
techniques
automate
4.0.
In
research,
we
analyzed
over
130
articles
2014
until
2021.
paper
covers
several
aspects
designing
phase
needs,
deployment
stage
classification
network,
difficulties,
challenges,
IEEE Access,
Год журнала:
2023,
Номер
11, С. 12765 - 12795
Опубликована: Янв. 1, 2023
The
rapid
progress
in
digitalization
and
automation
have
led
to
an
accelerated
growth
healthcare,
generating
novel
models
that
are
creating
new
channels
for
rendering
treatment
at
reduced
cost.
Metaverse
is
emerging
technology
the
digital
space
which
has
huge
potential
enabling
realistic
experiences
patients
as
well
medical
practitioners.
a
confluence
of
multiple
technologies
such
artificial
intelligence,
virtual
reality,
augmented
internet
devices,
robotics,
quantum
computing,
etc.
through
directions
providing
quality
healthcare
services
can
be
explored.
amalgamation
these
ensures
immersive,
intimate
personalized
patient
care.
It
also
provides
adaptive
intelligent
solutions
eliminates
barriers
between
providers
receivers.
This
article
comprehensive
review
emphasizing
on
state
art,
adopt
applications,
related
projects.
issues
adaptation
applications
identified
plausible
highlighted
part
future
research
directions.
Electronics,
Год журнала:
2023,
Номер
12(4), С. 1020 - 1020
Опубликована: Фев. 18, 2023
The
emergence
of
Explainable
Artificial
Intelligence
(XAI)
has
enhanced
the
lives
humans
and
envisioned
concept
smart
cities
using
informed
actions,
user
interpretations
explanations,
firm
decision-making
processes.
XAI
systems
can
unbox
potential
black-box
AI
models
describe
them
explicitly.
study
comprehensively
surveys
current
future
developments
in
technologies
for
cities.
It
also
highlights
societal,
industrial,
technological
trends
that
initiate
drive
towards
presents
key
to
enabling
detail.
paper
discusses
cities,
various
technology
use
cases,
challenges,
applications,
possible
alternative
solutions,
research
enhancements.
Research
projects
activities,
including
standardization
efforts
toward
developing
are
outlined
lessons
learned
from
state-of-the-art
summarized,
technical
challenges
discussed
shed
new
light
on
possibilities.
presented
is
a
first-of-its-kind,
rigorous,
detailed
assist
researchers
implementing
XAI-driven
systems,
architectures,
applications
Automation in Construction,
Год журнала:
2023,
Номер
147, С. 104716 - 104716
Опубликована: Янв. 5, 2023
Many
challenges
to
operate
digital
twins
remain,
hindering
their
design
and
implementation,
are
rarely
discussed.
Furthermore,
issues
of
social
legal
nature
often
overlooked.
We
identify
the
operating
in
urban
context
through
a
bifurcated
multi-dimensional
approach:
systematic
literature
review
an
expert
survey.
The
organises
identified
across
technical
non-technical
dimensions.
As
topic
is
novel,
corpus
rather
small
lacking
contextualisation
challenges.
Thus,
we
complement
it
with
survey
based
on
Delphi
method,
involving
diverse
panel
domain
experts
covering
academia,
industry
government
organisations.
Combining
results,
14
9
map
them
phases
twin's
life
cycle.
most
severe
appear
be
related
interoperability
(e.g.
disparate
semantic
standards)
practical
value
lack
business
models).
Sensors,
Год журнала:
2022,
Номер
22(4), С. 1377 - 1377
Опубликована: Фев. 11, 2022
Recent
technological
developments,
such
as
the
Internet
of
Things
(IoT),
artificial
intelligence,
edge,
and
cloud
computing,
have
paved
way
in
transforming
traditional
healthcare
systems
into
smart
(SHC)
systems.
SHC
escalates
management
with
increased
efficiency,
convenience,
personalization,
via
use
wearable
devices
connectivity,
to
access
information
rapid
responses.
Wearable
are
equipped
multiple
sensors
identify
a
person's
movements.
The
unlabeled
data
acquired
from
these
directly
trained
servers,
which
require
vast
memory
high
computational
costs.
To
overcome
this
limitation
SHC,
we
propose
federated
learning-based
person
movement
identification
(FL-PMI).
deep
reinforcement
learning
(DRL)
framework
is
leveraged
FL-PMI
for
auto-labeling
data.
then
using
(FL),
edge
servers
allow
parameters
alone
pass
on
cloud,
rather
than
passing
amounts
sensor
Finally,
bidirectional
long
short-term
(BiLSTM)
classifies
various
processes
associated
SHC.
simulation
results
proved
efficiency
FL-PMI,
99.67%
accuracy
scores,
minimized
usage
costs,
reduced
transmission
by
36.73%.
