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.
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.
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 289 - 298
Опубликована: Март 1, 2024
This
study
emphasizes
the
importance
of
adopting
a
consumer-centric
approach
to
supply
chain
management,
highlighting
role
data-driven
analytics,
including
artificial
intelligence
and
machine
learning
(AI/ML),
in
extracting
actionable
insights
from
consumer
data.
Such
can
enhance
demand
forecasting,
personalization
strategies,
efficiency,
customer
satisfaction,
risk
mitigation.
chapter
looks
into
developing
landscape
emphasizing
approach.
It
examines
learning,
The
also
discusses
how
such
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 14
Опубликована: Март 1, 2024
The
creation
of
computer
systems
that
are
capable
performing
tasks
typically
require
human
intelligence
is
known
as
artificial
(AI).
Problem-solving,
education,
perception,
reasoning,
understanding
natural
language,
and
some
types
decision-making
all
included
in
this
list.
Artificial
a
technology
from
the
20th
century
has
undergone
an
accelerated
evolution
foundation
for
solutions
to
difficult
issues
business
world.
Currently,
terms
like
digital
marketing,
decision-making,
Industry
4.0,
transformation
associated
with
concepts
neural
networks,
machine
learning,
or
deep
learning.
As
competitive
advantages
using
by
economic
entities
realized,
interest
likely
rise.
This
study
aims
investigate
progression
within
realm
business.
In
the
previous
several
years,
wireless
telecommunications
technology
has
seen
a
significant
change.
The
term
"generation"
in
context
of
communication
typically
describes
to
shift
essential
characteristics
assistance
being
offered,
such
as
transmission
technologies,
bit
rates,
frequency
bands,
channel
bandwidth,
and
data
transfer
capacity.
One
most
active
technological
fields
that
is
expanding
too
quickly
age.
There
need
implement
technologies
can
be
integrated
adjusted
order
produce
more
advanced
unified
system
because
there
are
numerous
superior
available.
this
work,
we
provide
summary
particular,
4G,
5G,
6G
Networks,
detailed
comparison
between
them.
Advances in wireless technologies and telecommunication book series,
Год журнала:
2023,
Номер
unknown, С. 1 - 20
Опубликована: Март 3, 2023
Optimizing
a
function
helps
solve
challenging
problems.
Any
optimization
problem
that
can't
be
solved
quickly
utilizing
deterministic
approaches
is
hard.
Metaheuristic
uses
metaheuristics
to
discover
optimum
solutions.
Meta
and
heuristic
mean
“higher
level”
“solution;”
using
complicated
address
unsolvable
problems.6G
will
replace
5G
wireless
networks.
6G
networks'
higher
frequencies
boost
their
capacity
minimize
latency.
The
internet
aspires
for
one-microsecond
This
1,000
times
faster
at
1
millisecond.6G
technology
expected
advance
imaging,
presence
technologies,
location
awareness.
WSNs
integrate
hardware
software
networks
monitor
record
environmental
variables
other
observable
quantities.
Wireless
sensor
(WSN)
are
utilized
commercially
domestically
effective
communication.
The
majority
of
the
data
is
preserved
as
text
(about
75%),
hence
It
believed
that
mining
has
a
significant
commercial
potential.
Unstructured
texts
continue
to
be
most
readily
available
source
knowledge,
despite
fact
knowledge
may
accessed
in
many
other
places.
Text
classification
assigns
documents
predetermined
categories.
Machine
learning
approaches
can
categories
more
accurately.
goal
this
work
introduce
classification,
give
description
technique,
general
review
classifiers,
and
comparison
few
current
classifiers.
based
on
performance,
time
complexity,
factors.
On
basis
speed,
accuracy,
benefits,
drawbacks
existing
methods
such
Decision
Tree,
Naive
Bayes,
Support
Vector
Machine,
k-Nearest
Neighbours
are
compared.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 107 - 124
Опубликована: Апрель 4, 2025
Prediction
technologies
based
on
AI
drive
crucial
automotive
safety
and
financial
risk
assessment
which
results
in
minimizing
losses
as
well
increasing
road
safety.
A
Hybrid
AI-Econometrics
Model
merges
machine
learning
algorithms
with
econometric
systems
serves
the
main
proposal
to
estimate
quantify
economic
consequences
linked
accidents.
TensorFlow
performs
deep
operations
within
framework
alongside
Statsmodels
analyze
telematics
data,
insurance
claims
data
macroeconomic
for
determining
risks
of
accidents
their
connected
costs.
The
model
uses
find
patterns
before
calculating
through
GARCH
(Generalized
Autoregressive
Conditional
Heteroskedasticity)
Vector
Autoregression
provides
both
accurate
predictions
understandable
make
it
acceptable
various
users
including
insurers
governmental
agencies
industries.
research
shows
better
capabilities
enhances
protective
driving
environments
Advances in computer and electrical engineering book series,
Год журнала:
2024,
Номер
unknown, С. 135 - 143
Опубликована: Янв. 25, 2024
In
this
chapter,
there
are
very
novel
techniques
in
which,
by
deleting
nodes
that
either
overloaded
or
underloaded
and
then
reassigning
the
total
load
to
collective
system's
nodes,
it
is
possible
maximise
usage
of
resources
amount
time
takes
for
tasks
be
completed.
The
approaches
utilised
dynamic
balancing
based
on
behaviour
system
as
being
right
now,
opposed
was
past.
When
constructing
an
algorithm
kind,
most
essential
considerations
give
attention
estimation
comparison
load,
stability
performance
system,
interaction
between
work
needs
transmitted,
choice
nodes.
Advances in psychology, mental health, and behavioral studies (APMHBS) book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 16
Опубликована: Фев. 26, 2024
A
performance
study
of
a
deep
unified
model
for
facial
expression
system
using
hybrid
models
like
ResNet
and
DenseNet
in
CNN-based
image
classification
framework
is
crucial.
Assessing
the
effectiveness
this
complex
that
interprets
expressions
to
identify
emotions
Data
carefully
prepared
separated
produce
balanced
representative
dataset.
The
ResNet-DenseNet
architecture
It
must
be
customised
face
recognition.
augmentation,
hyper
parameter
adjustment,
regularisation
are
used
optimise
during
training.
Accuracy,
precision,
recall,
F1-score,
confusion
matrix
evaluate
model's
performance.
different
dataset
may
its
generalisation
skills.
Comparing
others
might
reveal
Internet
of
Things
(IoT)
has
made
it
possible
to
diagnose
and
treat
patients
remotely,
as
well
expedite
the
transportation
essential
drugs
medical
equipment
locations
that
are
geographically
separated.
This
occurred
at
a
time
when
society
become
more
socially
distant.
During
Ebola
COVID-19
outbreaks,
technology
was
put
use
in
remote
patient
monitoring
management
vaccine
cold
chain.
Concurrently,
this
study
reflects
on
variables
required
for
IoT
scale.
Since
December
2019,
outbreak
worldwide
scale
developed
into
significant
problem.
In
order
treatment
be
successful,
is
make
prompt
accurate
diagnosis
persons
who
may
infected
with
virus.
halt
spread
COVID-19,
important
construct
an
automated
system
based
deep
transfer
learning
capable
detecting
virus
chest
X-rays.
The
authors
present
internet-of-things
makes
ensemble
earlier
stage.
It
feasible
keep
eye
potentially
hazardous
incidents
they
occur
so
long
suitable
procedures
adhered
to.
Inceptions
A
variety
different
models
included
framework
been
proposed
Things.
According
findings
study,
method
suggested
assisted
radiologists
accurately
quickly
identifying
could
have
COVID-19.
effort
focuses
developing
effective
identification
standard
setting.
