Journal Of Big Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: May 28, 2024
Abstract
Breast
cancer
is
a
major
public
health
concern,
and
early
detection
classification
are
essential
for
improving
patient
outcomes.
However,
breast
tumors
can
be
difficult
to
distinguish
from
benign
tumors,
leading
high
false
positive
rates
in
screening.
The
reason
that
both
malignant
have
no
consistent
shape,
found
at
the
same
position,
variable
sizes,
correlations.
ambiguity
of
correlation
challenges
computer-aided
system,
inconsistency
morphology
an
expert
identifying
classifying
what
negative.
Due
this,
most
time,
screen
prone
rates.
This
research
paper
presents
introduction
feature
enhancement
method
into
Google
inception
network
classification.
proposed
model
preserves
local
global
information,
which
important
addressing
variability
tumor
their
complex
A
locally
preserving
projection
transformation
function
introduced
retain
information
might
lost
intermediate
output
model.
Additionally,
transfer
learning
used
improve
performance
on
limited
datasets.
evaluated
dataset
ultrasound
images
achieves
accuracy
99.81%,
recall
96.48%,
sensitivity
93.0%.
These
results
demonstrate
effectiveness
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: March 30, 2023
Abstract
A
novel
bio-inspired
meta-heuristic
algorithm,
namely
the
American
zebra
optimization
algorithm
(AZOA),
which
mimics
social
behaviour
of
zebras
in
wild,
is
proposed
this
study.
are
distinguished
from
other
mammals
by
their
distinct
and
fascinating
character
leadership
exercise,
navies
baby
to
leave
herd
before
maturity
join
a
separate
with
no
family
ties.
This
departure
encourages
diversification
preventing
intra-family
mating.
Moreover,
convergence
assured
exercise
zebras,
directs
speed
direction
group.
lifestyle
indigenous
nature
main
inspiration
for
proposing
AZOA
algorithm.
To
examine
efficiency
CEC-2005,
CEC-2017,
CEC-2019
benchmark
functions
considered,
compared
several
state-of-the-art
algorithms.
The
experimental
outcomes
statistical
analysis
reveal
that
capable
attaining
optimal
solutions
maximum
while
maintaining
good
balance
between
exploration
exploitation.
Furthermore,
numerous
real-world
engineering
problems
have
been
employed
demonstrate
robustness
AZOA.
Finally,
it
anticipated
will
accomplish
domineeringly
forthcoming
advanced
CEC
complex
problems.
Artificial Intelligence Review,
Journal Year:
2024,
Volume and Issue:
57(8)
Published: July 4, 2024
Abstract
Rapid
industrialization
has
fueled
the
need
for
effective
optimization
solutions,
which
led
to
widespread
use
of
meta-heuristic
algorithms.
Among
repertoire
over
600,
300
new
methodologies
have
been
developed
in
last
ten
years.
This
increase
highlights
a
sophisticated
grasp
these
novel
methods.
The
biological
and
natural
phenomena
inform
strategies
seen
paradigm
shift
recent
observed
trend
indicates
an
increasing
acknowledgement
effectiveness
bio-inspired
tackling
intricate
engineering
problems,
providing
solutions
that
exhibit
rapid
convergence
rates
unmatched
fitness
scores.
study
thoroughly
examines
latest
advancements
optimisation
techniques.
work
investigates
each
method’s
unique
characteristics,
properties,
operational
paradigms
determine
how
revolutionary
approaches
could
be
problem-solving
paradigms.
Additionally,
extensive
comparative
analyses
against
conventional
benchmarks,
such
as
metrics
search
history,
trajectory
plots,
functions,
are
conducted
elucidate
superiority
approaches.
Our
findings
demonstrate
potential
optimizers
provide
directions
future
research
refine
expand
upon
intriguing
methodologies.
survey
lighthouse,
guiding
scientists
towards
innovative
rooted
various
mechanisms.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(11), P. 3573 - 3573
Published: June 1, 2024
Path
planning
creates
the
shortest
path
from
source
to
destination
based
on
sensory
information
obtained
environment.
Within
planning,
obstacle
avoidance
is
a
crucial
task
in
robotics,
as
autonomous
operation
of
robots
needs
reach
their
without
collisions.
Obstacle
algorithms
play
key
role
robotics
and
vehicles.
These
enable
navigate
environment
efficiently,
minimizing
risk
collisions
safely
avoiding
obstacles.
This
article
provides
an
overview
algorithms,
including
classic
techniques
such
Bug
algorithm
Dijkstra’s
algorithm,
newer
developments
like
genetic
approaches
neural
networks.
It
analyzes
detail
advantages,
limitations,
application
areas
these
highlights
current
research
directions
robotics.
aims
provide
comprehensive
insight
into
state
prospects
applications.
also
mentions
use
predictive
methods
deep
learning
strategies.
