IEEE Internet of Things Journal,
Год журнала:
2023,
Номер
10(21), С. 18448 - 18451
Опубликована: Окт. 19, 2023
This
comprehensive
abstract
of
the
special
issue
presents
an
extensive
array
collections
research
studies
that
focus
on
integration
state-of-the-art
technologies
and
methodologies
to
advance
healthcare
services
in
smart
cities
through
Internet
Things
(IoT)
applications.
The
explore
innovative
solutions
across
multiple
aspects
healthcare,
including
privacy
preservation,
telemedicine,
systems,
security,
abnormality
detection,
functional
assessment,
feature
selection,
health
monitoring,
diagnostics,
medical
vehicle
routing,
behavioral
patterns
discovery,
federated
learning,
personalized
healthcare.
Structural Change and Economic Dynamics,
Год журнала:
2024,
Номер
70, С. 544 - 566
Опубликована: Май 16, 2024
Despite
the
fact
that
artificial
intelligence
(AI)
techniques
are
increasingly
influencing
economic
and
societal
dynamics,
certain
aspects
of
AI's
role
in
structural
change,
such
as
enhancing
resilience
supply
chains,
have
not
been
thoroughly
explored
academic
research.
Thus,
we
first
identify
thirteen
variables
influential
shaping
transformation
food
chains.
These
chosen
based
on
financial,
technological,
social,
organizational
challenges
to
building
within
chain.
Then,
generate
an
interval-valued
T-spherical
fuzzy
CoCoSo'B
model
uncover
AI
chain
dynamics
change
sector.
After
that,
explore
alleviating
factors
through
generated
decision
expert
interview.
The
result
also
reveals
advantageAd2"Enhancing
information
sharing
among
nodes"
(1.983)
has
most
potential
influence
adoption
behavior.
outcomes
present
study
can
provide
a
new
decision-support
technique
for
uncovering
effects
Journal of Management Science and Engineering,
Год журнала:
2024,
Номер
9(4), С. 490 - 509
Опубликована: Июль 14, 2024
Traditional
transportation
development
has
yielded
significant
economic
and
social
benefits,
but
it
also
led
to
increased
pollution
emissions
substantial
environmental
impacts.
Transport
become
a
major
source
of
carbon
in
China.
Against
the
backdrop
national
goals
for
"carbon
peak"
neutrality",
smart
offers
fresh
perspective
on
reducing
emission
intensity.
In
this
study,
both
provincial
enterprise-level
data
from
China
are
used
examine
critical
role
intensity
macro
micro
perspectives,
dynamic
threshold
model
is
employed
validate
inverted
U-shaped
relationship
between
energy
structure
digital
infrastructure
reduction
process
facilitated
by
transportation.
addition,
mechanism,
green
innovation
economy
play
pivotal
roles.
Multiple
robustness
tests
confirmed
reliability
empirical
analysis.
This
study
highlights
important
transport
provides
valuable
insights
developing
countries
aimed
at
transitioning
toward
environmentally
friendly,
low-carbon,
intelligent
advanced
transport.
