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.
IEEE Open Journal of the Communications Society,
Год журнала:
2024,
Номер
5, С. 2490 - 2540
Опубликована: Янв. 1, 2024
Around
2020,
5G
began
its
commercialization
journey,
and
discussions
about
the
next-generation
networks
(such
as
6G)
emerged.
Researchers
predict
that
6G
will
have
higher
bandwidth,
coverage,
reliability,
energy
efficiency,
lower
latency,
be
an
integrated
"human-centric"
network
system
powered
by
artificial
intelligence
(AI).
This
lead
to
many
real-time
automated
decisions,
ranging
from
resource
allocation
collision
avoidance
for
self-driving
cars.
However,
there
is
a
risk
of
losing
control
over
decision-making
due
high-speed,
data-intensive
AI
may
go
beyond
designers'
users'
comprehension.
To
mitigate
this
risk,
explainable
(XAI)
methods
can
used
enhance
transparency
black-box
process.
paper
surveys
application
XAI
towards
upcoming
age,
including
technologies
intelligent
radio
zero-touch
management)
use
cases
industry
5.0).
Additionally,
summarizes
lessons
learned
recent
attempts
outlines
important
research
challenges
in
applying
soon.
Journal of Network and Computer Applications,
Год журнала:
2024,
Номер
228, С. 103905 - 103905
Опубликована: Июнь 1, 2024
The
Artificial
Intelligence
of
Things
(AIoT),
a
combination
the
Internet
(IoT)
and
(AI),
plays
an
increasingly
important
role
in
smart
agriculture
(SA).
AIoT
has
been
adopted
many
applications
including
agriculture,
such
as
crop
yield
estimation,
soil
water
conservation,
pest
disease
detection
supply
chain
management.
While
there
are
plenty
studies
on
healthcare,
cities,
manufacturing,
transportation,
SA
still
small
share
reported
research.
This
paper
presents
comprehensive
review
existing
literature
Federated
Learning
(FL)
for
SA.
It
identifies
current
potential
challenges
provides
research
direction
future
investment
both
academia
industry.
Future Internet,
Год журнала:
2025,
Номер
17(1), С. 13 - 13
Опубликована: Янв. 3, 2025
Optimizing
digital
twins
in
the
Industrial
Internet
of
Things
(IIoT)
requires
secure
and
adaptable
AI
models.
The
IIoT
enables
twins,
virtual
replicas
physical
assets,
to
improve
real-time
decision-making,
but
challenges
remain
trust,
data
security,
model
accuracy.
This
paper
presents
a
novel
framework
combining
blockchain
technology
federated
learning
(FL)
address
these
issues.
By
deploying
models
on
edge
devices
using
FL,
privacy
is
maintained
while
enabling
collaboration
across
industrial
assets.
Blockchain
ensures
management
transparency,
explainable
(XAI)
enhances
interpretability.
improves
control,
privacy,
scalability
for
self-optimizing
IIoT.
A
real-world
evaluation
demonstrates
framework’s
effectiveness
enhancing
explainability,
optimization,
offering
improved
efficiency
reliability
operations.
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.
