Synergistic integration of digital twins and zero energy buildings for climate change mitigation in sustainable smart cities: A systematic review and novel framework
Energy and Buildings,
Год журнала:
2025,
Номер
unknown, С. 115484 - 115484
Опубликована: Фев. 1, 2025
Язык: Английский
Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey
Future Internet,
Год журнала:
2024,
Номер
16(9), С. 324 - 324
Опубликована: Сен. 6, 2024
The
integration
of
machine
learning
(ML),
blockchain,
and
the
Internet
Things
(IoT)
in
smart
cities
represents
a
pivotal
advancement
urban
innovation.
This
convergence
addresses
complexities
modern
environments
by
leveraging
ML’s
data
analytics
predictive
capabilities
to
enhance
intelligence
IoT
systems,
while
blockchain
provides
secure,
decentralized
framework
that
ensures
integrity
trust.
synergy
these
technologies
not
only
optimizes
management
but
also
fortifies
security
privacy
increasingly
connected
cities.
survey
explores
transformative
potential
ML-driven
blockchain-IoT
ecosystems
enabling
autonomous,
resilient,
sustainable
city
infrastructure.
It
discusses
challenges
such
as
scalability,
privacy,
ethical
considerations,
outlines
possible
applications
future
research
directions
are
critical
for
advancing
initiatives.
Understanding
dynamics
is
essential
realizing
full
cities,
where
technology
enhances
efficiency
sustainability
resilience.
Язык: Английский
Energy-Efficient Industrial Internet of Things in Green 6G Networks
Applied Sciences,
Год журнала:
2024,
Номер
14(18), С. 8558 - 8558
Опубликована: Сен. 23, 2024
The
research
problem
of
this
systematic
review
was
whether
green
6G
networks
can
integrate
energy-efficient
Industrial
Internet
Things
(IIoT)
in
terms
distributed
artificial
intelligence,
pervasive
edge
computing
communication
and
big-data-based
intelligent
decision
algorithms.
We
show
that
sensor
data
fusion
be
carried
out
IoT
smart
industrial
urban
environments
by
cooperative
perception
inference
tasks.
Our
analyses
debate
on
wireless
communication,
vehicular
autonomous
networks,
algorithm
technologies
equipment
manufacturing
environments.
Mobile
cloud
task
processing
capabilities
decentralized
network
control
power
grid
system
monitoring
were
thereby
analyzed.
results
contributions
clarify
sustainable
energy
efficiency
generation
together
with
support
environmental
systems
operate
efficiently
intelligence
networks.
PRISMA
used,
its
web-based
Shiny
app
flow
design,
the
search
outcomes
screening
procedures
integrated.
A
quantitative
literature
performed
July
2024
original
published
between
2019
2024.
Study
screening,
evidence
map
visualization,
extraction
reporting
tools,
machine
learning
classifiers,
reference
management
software
harnessed
for
qualitative
data,
collection,
management,
analysis
synthesis.
Dimensions
VOSviewer
deployed
visualization
analysis.
Язык: Английский
Innovative approaches to green digital twin technologies of sustainable smart cities using a novel hybrid decision-making system
Journal of Innovation & Knowledge,
Год журнала:
2025,
Номер
10(1), С. 100651 - 100651
Опубликована: Янв. 1, 2025
Язык: Английский
Leveraging Advanced Technologies for (Smart) Transportation Planning: A Systematic Review
Sustainability,
Год журнала:
2025,
Номер
17(5), С. 2245 - 2245
Опубликована: Март 5, 2025
Transportation
systems
worldwide
are
facing
numerous
challenges,
including
congestion,
environmental
impacts,
and
safety
concerns.
This
study
used
a
systematic
literature
review
to
investigate
how
advanced
technologies
(e.g.,
IoT,
AI,
digital
twins,
optimization
methods)
support
smart
transportation
planning.
Specifically,
this
examines
the
interrelationships
between
proposed
solutions,
enabling
technologies,
providing
insights
into
these
innovations
mobility
initiatives.
A
review,
following
PRISMA
guidelines,
identified
26
peer-reviewed
articles
published
2013
2024,
studies
that
examined
technologies.
To
quantitatively
assess
relationships
among
key
concepts,
Sentence
BERT-based
natural
language
processing
approach
was
employed
compute
alignment
scores
technological
implementation
strategies.
The
findings
highlight
fact
real-time
data
collection,
predictive
analytics,
twin
simulations
significantly
enhance
traffic
flow,
safety,
operational
efficiency
while
mitigating
impacts.
analysis
further
reveals
strong
correlations
congestion
public
transit
optimization,
reinforcing
effectiveness
of
integrated,
data-driven
Additionally,
IoT-based
sensor
networks
AI-driven
decision-support
shown
play
critical
role
in
sustainable
urban
by
proactive
management,
multimodal
planning,
emission
reduction
From
policy
perspective,
underscores
need
for
investment
urban-scale
infrastructures,
integration
modeling
long-term
planning
frameworks,
tools
with
improvements
foster
equitable
efficient
mobility.
These
offer
actionable
recommendations
policymakers,
engineers,
planners,
guiding
resource
allocation
legislative
strategies
sustainable,
adaptive,
technologically
ecosystems.
Язык: Английский
The Use of Digital Twins to Address Smart Tourist Destinations’ Future Challenges
Platforms,
Год журнала:
2024,
Номер
2(4), С. 234 - 254
Опубликована: Дек. 9, 2024
This
research
aims
to
conceptualise
the
use
of
digital
twins
(DT)
tool
in
tourism
address
smart
tourist
destinations’
future
challenges
enhance
tourists’
experiences
and
residents’
quality
life
through
better
services
developed
by
DTs.
paper
investigated
DT
technology
tackle
new
facing
destinations
(STDs)
terms
urban
planning,
sustainability,
security,
marketing,
activities
using
data
on
this
topic
from
expert
researchers
public
private
organisations.
Also,
adopted
a
systematic
review
approach
analyse
illustrate
existing
literature
DTs
their
for
STDs,
which
helped
us
develop
concept
STD
context.
The
findings
reveal
that
is
emerging
as
disruptive
being
used
improve
management
STDs
efficiency,
safety,
environmental
protection,
productivity,
energy
consumption.
Moreover,
nascent
marketing
industries,
but
its
versatility
relation
capacity
predict
behaviour
business
ecosystems
relevant
issues
at
gives
it
key
role
industry.
Finally,
definition
has
been
included
study
within
context,
filling
gap
industry
according
some
researchers’
suggestions.
There
are
limited
scientific
publications
about
jointly
sphere.
Accordingly,
manuscript
defines
provides
viewpoint
will
help
initiate
academic
discussions
context
STDs.
Язык: Английский
Bridging the Digital Disability Divide: Determinants of Internet Use among Visually Impaired Individuals in Thailand
Disabilities,
Год журнала:
2024,
Номер
4(3), С. 696 - 723
Опубликована: Сен. 17, 2024
This
study
investigates
the
sociodemographic
and
contextual
determinants
influencing
Internet
usage
among
individuals
with
visual
impairments
in
Thailand,
contributing
to
literature
on
digital
disability
divide.
Data
from
“Disability
Survey
2022”
conducted
by
National
Statistical
Office
of
Thailand
were
used.
Descriptive
statistics,
chi-square
tests,
logistic
regression
analysis
performed
data
5621
visually
impaired
respondents.
The
findings
indicate
that
approximately
26.88%
use
Internet.
highlights
several
critical
disparities.
Males
exhibit
lower
odds
compared
females
(adjusted
ratio
[AOR]
=
0.850,
p
0.034).
Younger
are
more
likely
Internet;
a
decline
was
observed
increasing
age
(AOR
for
60+
years
0.052,
<
0.001).
Regional
disparities
evident.
Individuals
northeastern
2.044,
0.001),
central
1.356,
0.008),
southern
1.992,
0.001)
regions
showed
higher
those
northern
region.
Higher
income
5000–9999
THB
1.798,
educational
attainment
bachelor’s
degree
14.915,
wealth
index
wealthy
5.034,
increase
likelihood
use.
Employed
3.159,
unemployed
individuals.
Additionally,
severity
impairment
is
crucial,
having
low
vision
both
eyes
engage
online
than
who
completely
blind
5.935,
These
highlight
need
comprehensive
inclusion
initiatives
address
various
factors,
including
age-inclusive
literacy
programs,
targeted
regional
infrastructure
development,
economic
support
improve
access,
advancements
assistive
technologies.
provides
valuable
insights
policymakers
other
developing
countries,
enhancing
understanding
divide
informing
strategies
foster
greater
equity.
Язык: Английский