International Journal of Adaptive Control and Signal Processing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
ABSTRACT
This
paper
proposes
a
hybrid
technique
to
optimally
detect
and
classify
inter‐turn
insulation
faults
in
three‐phase
induction
motors
(IMs).
The
proposed
strategy
is
the
novel
integration
of
Golden
Jackal
Optimization
Gradient
Boosting
Decision
Tree
termed
as
GJO‐GBDT
system.
Using
simulation
platform,
client‐characterized
framework
described
order
gather
required
error
training
dataset.
GJO,
number
features
decreased
most
significant
characteristics
from
dataset
are
selected.
motor's
health
determined
using
GBDT
method.
primary
objective
improve
life.
MATLAB
used
implement
technique,
its
performance
compared
existing
approach.
Compared
techniques
under
100
trials,
hasalower
Root
Mean
Square
Error
(RMSE)
12.2,
Absolute
Percentage
(MAPE)
2,
Bias
(MBE)
1.6,
consumption
time
4.2
min.
Information Fusion,
Journal Year:
2023,
Volume and Issue:
98, P. 101859 - 101859
Published: May 27, 2023
Integrating
artificial
intelligence
with
food
category
recognition
has
been
a
field
of
interest
for
research
the
past
few
decades.
It
is
potentially
one
next
steps
in
revolutionizing
human
interaction
food.
The
modern
advent
big
data
and
development
data-oriented
fields
like
deep
learning
have
provided
advancements
recognition.
With
increasing
computational
power
ever-larger
datasets,
approach's
potential
yet
to
be
realized.
This
survey
provides
an
overview
methods
that
can
applied
various
tasks,
including
detecting
type,
ingredients,
quality,
quantity.
We
core
components
constructing
machine
system
recognition,
augmentation,
hand-crafted
feature
extraction,
algorithms.
place
particular
focus
on
learning,
utilization
convolutional
neural
networks,
transfer
semi-supervised
learning.
provide
relevant
studies
promote
further
developments
industrial
applications.
The
advent
of
smart
cities
has
paved
the
way
for
transformative
advancements
in
healthcare,
particularly
domain
disease
diagnosis.
In
wake
COVID-19
pandemic,
accurate
and
timely
identification
Pandemic
diseases
become
paramount.
This
paper
explores
challenges
opportunities
synergizing
Artificial
Intelligence
(AI),
Internet
Things
(IoT),
Blockchain
technologies
diagnosis
cities.
study
provides
an
overview
each
technology
its
relevance
to
sustainable
healthcare
cities,
emphasizing
potential
analyzing
medical
data
making
informed
decisions.
We
also
explore
how
IoT
devices
can
contribute
surveillance,
enabling
real-time
collection
remote
healthcare.
Additionally,
we
discuss
ensuring
secure
transparent
systems.
Following,
synergistic
integrating
AI,
IoT,
blockchain,
their
combined
strengths
enhance
accuracy,
efficiency,
security
systems
Moreover,
highlights
these
research
implementation,
underlining
significance
findings
demonstrate
that
convergence
blockchain
speed
accuracy
diagnosing
diseases,
leading
more
effective
containment
management
strategies.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(4), P. 746 - 746
Published: Feb. 13, 2024
Recently,
artificial
intelligence
(AI)-based
algorithms
have
revolutionized
the
medical
image
segmentation
processes.
Thus,
precise
of
organs
and
their
lesions
may
contribute
to
an
efficient
diagnostics
process
a
more
effective
selection
targeted
therapies,
as
well
increasing
effectiveness
training
process.
In
this
context,
AI
automatization
scan
increase
quality
resulting
3D
objects,
which
lead
generation
realistic
virtual
objects.
paper,
we
focus
on
AI-based
solutions
applied
in
intelligent
visual
content
generation,
i.e.,
computer-generated
three-dimensional
(3D)
images
context
extended
reality
(XR).
We
consider
different
types
neural
networks
used
with
special
emphasis
learning
rules
applied,
taking
into
account
algorithm
accuracy
performance,
open
data
availability.
This
paper
attempts
summarize
current
development
methods
imaging
that
are
XR.
It
concludes
possible
developments
challenges
applications
reality-based
solutions.
Finally,
future
lines
research
directions
applications,
both
solutions,
discussed.
