International Journal of Communication Networks and Information Security (IJCNIS),
Год журнала:
2022,
Номер
14(3), С. 73 - 85
Опубликована: Дек. 23, 2022
ECG
(Electrocardiogram)
performs
classification
using
a
machine
learning
model
for
processing
different
features
in
the
signal.
The
electrical
activity
of
heart
is
computed
with
signal
library.
key
issue
handling
signals
an
estimation
irregularities
to
evaluate
health
status
patients.
impulse
waveform
specialized
tissues
cardiac
diseases.
However,
comprises
difficulties
associated
derive
certain
features.
Through
(ML)
input
are
signals.
In
this
paper,
proposed
Noise
QRS
Feature
effective
classification.
computes
sequences.
Initially,
pre-processed
Finite
Impulse
response
(FIR)
filter
analysis
processed
and
responses
kNN
performance
comparatively
examined
Discrete
Wavelet
Transform
(DWT),
Dual-Tree
Complex
Transforms
(DTCWT)
Orthonormal
Stockwell
(DOST)
Cascade
Feed
Forward
Neural
Network
(CFNN),
(FFNN).
Simulation
expressed
that
exhibits
higher
accuracy
99%
which
~6
–
7%
than
conventional
classifier
model.
Advances in civil and industrial engineering book series,
Год журнала:
2024,
Номер
unknown, С. 173 - 186
Опубликована: Май 6, 2024
Image
processing
has
become
more
crucial
in
medical
applications
due
to
its
ability
collect
and
evaluate
data
from
images.
This
book
chapter
provides
an
overview
of
various
image
techniques
used
for
applications,
including
deep
learning
algorithms,
segmentation
techniques,
a
combination
both.
Additionally,
the
authors
discuss
other
studies
that
analysed
X-rays
identify
cancer,
brain
tumours,
disorders.
The
results
study
demonstrate
how
have
potential
significantly
improve
sickness
detection
speed
accuracy,
facilitating
early
diagnosis
treatment.
planning
therapies
accuracy
diagnoses
can
both
be
enhanced
by
use
tools.
Healthcare
workers'
recognise
manage
variety
conditions
will
undoubtedly
increase.
Advances in civil and industrial engineering book series,
Год журнала:
2024,
Номер
unknown, С. 355 - 368
Опубликована: Май 6, 2024
Remote
areas
benefit
from
lower
costs
for
transporting
enormous
amounts
of
data
between
a
source
node
and
multiple
networking
devices.
Noise
constraints
necessitated
64
kb/s
broadcaster.
Bit
defect
rates,
abnormalities,
frequent
retransmission
prevented
movement.This
could
greatly
minimize
channel
usage.
The
maximum
transmission
unit
distance
was
64B.
Data
packet
size
limits
exacerbated
issues.
Massive
traffic,
connection
imprecision,
changing
topology
affect
network
structure,
making
dissemination
nodes
to
all
devices
difficult.This
book
chapter
suggests
using
an
advanced
throughput
optimal
broadcast
in
point-to-multipoint
wireless
networks
improve
wire-less
link
precision
by
the
Mayfly
optimization
method,
recent
swarm
intelligence
soft
computing
technique,
geometrical
configuration
interfering
terminals
forecasted
per-flow
Advances in civil and industrial engineering book series,
Год журнала:
2024,
Номер
unknown, С. 342 - 354
Опубликована: Май 6, 2024
Cloud
computing
involves
virtualization,
distributed
computers,
networking,
software,
and
web
services.
Clouds
have
clients,
datacenters,
servers.
It
has
fault
tolerance,
high
availability,
scalability,
flexibility,
little
user
overhead,
cheap
ownership
cost,
on-demand
services,
etc.
These
difficulties
require
a
powerful
load
balancing
algorithm.
Memory,
CPU,
latency,
or
network-load.
Load
distributes
demand
to
avoid
overloaded
system
nodes
optimises
resource
use
job
response
time.
balancers
ensure
that
processors
network
perform
similarly.
Methods
initiated
by
sender,
recipient,
symmetric.
Using
the
divisible
scheduling
theorem,
method
will
optimise
throughput
latency
for
clouds
of
different
sizes.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Ноя. 29, 2024
Abstract
A
mask
identification
and
social
distance
monitoring
system
using
Unmanned
Aerial
Vehicles
(UAV)
in
the
outdoors
has
been
proposed
for
a
health
establishment.
The
above
approach
performed
surveillance
of
surrounding
area
cameras
installed
UAVs
internet
things
technologies,
captured
images
seem
useful
tracking
entire
environment.
However,
innate
from
unmanned
aerial
vehicles
show
an
adaptable
visual
effect
uncontrolled
environment,
making
face-mask
detection
recognition
harder.
UAV
picture
first
had
to
be
converted
grayscale,
then
its
contrast
was
amplified.
Image
improved
Optimum
Wavelet-Based
Masking
Enhanced
Cuckoo
Methodology
(ECM).
According
contrast-enhanced
image,
Gabor-Transform
(GT)
Stroke
Width
Transform
(SWT)
methods
are
used
derive
attributes
that
help
categorise
mask-wearers
non-mask-wearers.
Using
retrieved
attributes,
Weighted
Naive
Bayes
Classification
(WNBC)
detected
masks
images.
Additionally,
deep
neural
network-based,
faster
Region-Based
Convolutional
Neural
Networks
(R-CNN)
algorithm
combined
with
Adaptive
Galactic
Swarm
Optimization
(AGSO)
is
being
identify
appropriate
incorrect
face
wear
images,
as
well
monitor
distancing
among
individuals
crowded
areas.
When
recognises
unmasked
individuals,
it
sends
their
information
doctor
nearby
police
station.
One
vehicle’s
automated
alert
people
via
speakers,
ensuring
spacing.
problem
involves
large
percentage
data
GitHub
Kaggle,
including
training
repository
16,000
testing
set
12,751
To
enhance
performance
model’s
learning,
methodology
10-fold
cross-validation
will
used.
Precision,
recall,
F1-score,
speed
measured
determine
efficacy
suggested
approach.
Advances in civil and industrial engineering book series,
Год журнала:
2024,
Номер
unknown, С. 214 - 232
Опубликована: Май 6, 2024
Block
chain
secures
data.
Blockchain
imitates
computerised
trading
markets.
The
2008
cryptocurrency
and
transaction
network
Bitcoin
leads
blockchain
technology.
When
buyers
or
sellers
declare
payments,
transfers
bitcoin.
can
change
finance
like
the
Internet.
technology
may
affect
medicine.
This
fast-growing
issue
affects
many
healthcare
providers.
Open,
irreversible,
stable,
collaborative
are
preferred
by
over
regulated,
hidden,
proprietary,
changeable
ones.
is
used
in
medical
records,
security,
database
management,
biotechnology
regulation.
helps
biopharmaceuticals
track
illicit
medications.
It
monitors
medicines
counterfeiters.
book
chapter
presents
a
comprehensive
block
for
health
sector
decision
makers
explores
difficulties
constraints
using
suitable
markup.
Here
current
potential
applications.
Advances in computational intelligence and robotics book series,
Год журнала:
2023,
Номер
unknown, С. 25 - 38
Опубликована: Июнь 30, 2023
Taking
into
account
the
uses
of
ML
in
field
vision,
many
practical
vision
systems'
first
processing
stages
include
enhancing
or
reconstructing
images.
The
goal
these
tools
is
to
enhance
quality
photos
and
give
accurate
data
for
making
decisions
based
on
appearance.
In
this
research
study,
authors
examine
three
distinct
types
neural
networks:
convolutional
networks,
residual
generative
countermeasure
networks.
There
a
proposal
model
structure
scalable
supplementary
generation
network
as
part
that
enhances
evidence
images
countermeasure.
present
objective
loss
function
definition,
well
periodic
consistency
perceptual
analysis.
An
in-depth
solution
framework
picture
layering
offered
once
problem's
core
aspects
are
explained.
This
approach
implements
multitasking
with
help
adaptive
feature
learning,
provides
strong
theoretical
guarantee.
For
the
purposes
of
internet
things
(IoT),
a
WSN
is
collection
geographically
scattered,
purpose-built
sensors
that
monitor
and
record
environmental
variables
then
transmit
data
in
bulk
by
wireless
means
to
central
server
connected
internet.
Using
IoT
healthcare
facilities,
there
are
several
ways
which
devices
might
benefit
hospitals
beyond
just
keeping
tabs
on
patients'
well-being.
The
real-time
position
medical
such
as
wheelchairs,
defibrillators,
nebulizers,
oxygen
pumps,
other
monitoring
equipment
may
be
tracked
with
help
equipped
sensors.
Yet,
it
has
been
realized
settings
need
dispersed
optimization.
It
difficult
implement
system
using
WSN.
Hence,
traditional
studies
various
types
research
techniques
taken
into
account
WSN-based
fields.
