Economics & Sociology,
Journal Year:
2024,
Volume and Issue:
17(1), P. 132 - 150
Published: March 1, 2024
The
primary
aim
of
this
research
paper
is
to
investigate
the
distribution
hospitals
across
different
regions
in
Poland.
It
provides
an
in-depth
analysis
hospital
Poland,
emphasizing
significance
taking
into
account
factors
such
as
population
size
and
accessibility
when
assessing
quantity
a
determinant
quality
life
smart
city.
This
based
on
data
concerning
operations
Poland
spanning
years
2012
2021.
explores
range
indicators,
including
number
per
province,
ratio
1,000
square
kilometers
within
province's
geographical
area,
relationship
between
availability
GDP
capita.
One
noteworthy
aspect
its
utilization
cluster
identify
groups
provinces
that
exhibit
similarities
with
respect
these
indicators.
Surprisingly,
findings
challenge
conventional
division
"Poland
A"
B"
wealth.
Instead,
study
reveals
unexpected
outcome:
positive
correlation
0.81
suggests
more
prosperous
tend
have
greater
available.
Advances in healthcare information systems and administration book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 281 - 309
Published: May 17, 2024
The
internet
of
medical
things
(IoMT)
has
emerged
as
a
transformative
force
in
the
intersection
healthcare
and
smart
cities.
This
chapter
delves
into
scaling
challenges,
applications,
critical
aspect
data
integrity
within
IoMT
framework
context
As
connected
devices
become
integral
components
urban
health
ecosystems,
ensuring
scalability
while
maintaining
becomes
paramount.
explores
evolving
landscape
cities,
emphasizing
challenges
associated
with
device
proliferation,
interoperability,
dynamic
nature
data.
Additionally,
it
highlights
innovative
applications
empowered
by
addresses
strategies
for
preserving
to
uphold
reliability
systems
environments.
Journal of Nanoelectronics and Optoelectronics,
Journal Year:
2022,
Volume and Issue:
17(9), P. 1274 - 1282
Published: Sept. 1, 2022
One
of
the
body’s
most
important
organs
is
heart.
An
electrocardiogram
(ECG)
a
common
diagnostic
tool
because
it
provides
continuous
tracings
heart’s
electrophysiological
activity.
The
study’s
overarching
objective
development
and
implementation
an
artificial
intelligence
(AI)-based
abnormal
heart
beat
detection
system
with
potential
applications
in
early
diagnosis
timely
treatment
cardiovascular
diseases.
Through
transmission
signals
to
healthcare
monitoring
system,
these
wearable
devices
enable
doctors
keep
constant,
reliable
tabs
on
their
patients’
health
statuses.
In
addition
alerting
nurses,
this
serves
as
warning
patient
so
that
they,
too,
can
take
preventative
measures.
Several
scientific
teams
utilizing
AI
contributed
victory.
Predicting
disease
using
information
gathered
from
smart
challenging
due
low
accuracy
time
complexity.
We
propose
new
optimization
strategy
based
deep
learning
tackle
problems.
particular,
relies
Condition-Convolutional
Neural
Network
(Condition-CNN)
Auction-based
Optimization
algorithm,
which
analyzes
algorithms
(ABO)
while
also
considering
Opto
electronics
property
(sensor
detector
characteristics,
MOSFET)
mechanism
details,
active
element
triumvirate.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 78867 - 78878
Published: Jan. 1, 2023
This
paper
proposes
a
two-dimensional
resource
allocation
technique
for
vehicle-to-infrastructure
(V2I)
communications.
Vehicular
communications
requires
high
data
rates,
low
latency,
and
reliability
simultaneously.
The
3rd
generation
partnership
project
(3GPP)
included
various
numerologies
to
support
this,
leading
diversification
of
transmit
time
interval
(TTI).
It
enables
the
that
considers
frequency
simultaneously,
which
has
yet
be
studied
much.
To
tackle
this
issue,
we
propose
reinforcement
learning
approach
solve
problem
V2I
A
agent
in
base
station
allocates
quality
service
(QoS)
guaranteed
block
each
vehicle
maximize
sum
achievable
quantity
(ADQ).
exploits
received
power
information
occupancy
status
as
input.
outputs
vehicles'
consists
time-frequency
position,
bandwidth,
TTI,
is
solution
allocation.
simulation
results
show
proposed
method
outperforms
fixed
method.
Because
ability
pursue
ADQ
maximization
QoS
guarantee,
performs
better
than
an
optimization-based
benchmark
if
constraint.
Also,
can
see
selects
according
constraint
varies
maximizes
ADQ.
Insurance Markets and Companies,
Journal Year:
2024,
Volume and Issue:
15(1), P. 12 - 29
Published: Feb. 27, 2024
Blockchain
technology
has
surfaced
as
a
formidable
catalyst,
capable
of
reshaping
the
operational
dynamics
conventional
businesses.
The
integration
blockchain
within
insurance
industry
prompted
need
for
comprehensive
understanding
and
assessment.
This
study
aims
to
elucidate
relevance
in
sector,
identify
key
trends,
influential
research,
overarching
goals
motivating
incorporation
practices.
employed
systematic
review
collect
125
research
articles
published
between
2017
2023
focused
on
from
Web
Science
database.
used
Biblioshiny.
analysis
encompasses
wide
range
parameters,
including
publication
authors,
thematic
clusters,
geographic
distribution
research.
IEEE
Access
emerges
prominent
platform,
hosting
11
dedicated
this
topic.
results
keyword
co-occurrence
highlighted
two
keywords:
insurance.
country
collaboration
map
particular
shortcomings,
such
concentration
countries
like
China,
USA,
India,
KSA,
Malaysia,
Australia.
A
lack
developing
underdeveloped
insufficient
knowledge
sharing
among
researchers
highlights
gap.
In
conclusion,
offers
valuable
insights
into
evolving
landscape
industry.
The
advent
of
wearable
sensor
technology,
like
oximeters,
accelerometers,
and
gyroscope-based
monitoring
devices,
are
being
widely
used
to
address
the
important
problem
health
for
mobility
patients.
Unusual
patient
data
prompts
healthcare
facilities
take
immediate
action
by
sending
out
alerts.
major
goal
this
paper
is
investigate
field
fog
computing-assisted
service
with
regard
priority-aware
task
offloading.
When
it
comes
providing
end
users
extra
processing
power
time-sensitive
tasks,
server
essential.
But
ever-changing
environment
really
hard
when
some
jobs
demand
a
far
slower
response
time
than
others.
This
solved
introducing
scheduling
offloading
technique
that
prioritizes
high-priority
jobs,
especially
those
strict
deadlines,
allocating
CPU
resources.
Any
resources
left
over
then
carefully
allocated
provide
longer
average
low
priority
which
lower
on
hierarchy.
Furthermore,
basic
lower-bound
obtained
mean
assignments
soft
deadlines.
study
demonstrates
effectiveness
proposed
strategy
wide
range
simulations,
skillfully
edge
servers
giving
hard-deadline
tasks
top
soft-deadline
tasks.
