Bioengineering,
Journal Year:
2024,
Volume and Issue:
11(12), P. 1281 - 1281
Published: Dec. 17, 2024
Multispectral
transmission
imaging
has
emerged
as
a
promising
technique
for
breast
tissue
with
high
resolution.
However,
the
method
encounters
challenges
such
low
grayscale,
noisy
images
weak
signals,
primarily
due
to
strong
absorption
and
scattering
of
light
in
tissue.
A
common
approach
improve
signal-to-noise
ratio
(SNR)
overall
image
quality
is
frame
accumulation.
factors
camera
jitter
respiratory
motion
during
acquisition
can
cause
misalignment,
degrading
accumulated
image.
To
address
these
issues,
this
study
proposes
novel
registration
method.
hybrid
combining
genetic
algorithm
(GA)
constriction
factor-based
particle
swarm
optimization
(CPSO),
referred
GA-CPSO,
applied
before
The
efficiency
enhanced
by
incorporating
squared
factor
(SCF),
which
speeds
up
process
improves
convergence
towards
optimal
solutions.
GA
identifies
potential
solutions,
are
then
refined
CPSO
expedite
convergence.
This
methodology
was
validated
on
sequence
frames
taken
at
600
nm,
620
670
760
nm
wavelength
proved
enhancement
accuracy
various
mathematical
assessments.
It
demonstrated
(99.93%)
reduced
time.
As
result,
GA-CPSO
significantly
effectiveness
accumulation
enhances
quality.
explored
groundwork
precise
multispectral
segmentation
classification.
International Transactions on Electrical Energy Systems,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
Conventional
energy
networks
produce
with
less
efficiency.
Also,
these
source’s
development
costs
and
size
are
more.
So,
the
world
is
focusing
on
renewable
for
production
to
consumer.
In
this
work,
a
proton
exchange
membrane
fuel
stack
(PEMFS)
technology
selected
feeding
hydrogen
vehicle.
The
merits
of
more
abundant,
faster
operational
response,
efficient
electrical
automotive
networks.
However,
stack’s
nonlinear
its
point
varies
concerning
device
operating
temperature.
particle
swarm
optimized
adaptive
network‐based
fuzzy
inference
system
(PSO‐ANFIS)
proposed
in
work
find
cell
network.
features
hybrid
methodology
low
number
iteration
values
required,
convergence
time,
low‐level
dependence
stack,
high
compliance
quick
deviations
efficiency
tracking
time
maximum
power
(MPPT)
controller
95.60%
0.1089
s.
Another
issue
output
current
generation
voltage
production.
This
condition
happening
because
chemical
reaction
dynamics,
internal
resistance
cell,
electrochemical
potential.
Due
excess
flow
direct
stack‐fed
face
conduction
losses.
To
reduce
losses
system,
single‐switch
circuit
used
source
current,
thereby
optimizing
excessive
system.
whole
network
analyzed
by
selecting
MATLAB
Window.
Bioengineering,
Journal Year:
2024,
Volume and Issue:
11(12), P. 1281 - 1281
Published: Dec. 17, 2024
Multispectral
transmission
imaging
has
emerged
as
a
promising
technique
for
breast
tissue
with
high
resolution.
However,
the
method
encounters
challenges
such
low
grayscale,
noisy
images
weak
signals,
primarily
due
to
strong
absorption
and
scattering
of
light
in
tissue.
A
common
approach
improve
signal-to-noise
ratio
(SNR)
overall
image
quality
is
frame
accumulation.
factors
camera
jitter
respiratory
motion
during
acquisition
can
cause
misalignment,
degrading
accumulated
image.
To
address
these
issues,
this
study
proposes
novel
registration
method.
hybrid
combining
genetic
algorithm
(GA)
constriction
factor-based
particle
swarm
optimization
(CPSO),
referred
GA-CPSO,
applied
before
The
efficiency
enhanced
by
incorporating
squared
factor
(SCF),
which
speeds
up
process
improves
convergence
towards
optimal
solutions.
GA
identifies
potential
solutions,
are
then
refined
CPSO
expedite
convergence.
This
methodology
was
validated
on
sequence
frames
taken
at
600
nm,
620
670
760
nm
wavelength
proved
enhancement
accuracy
various
mathematical
assessments.
It
demonstrated
(99.93%)
reduced
time.
As
result,
GA-CPSO
significantly
effectiveness
accumulation
enhances
quality.
explored
groundwork
precise
multispectral
segmentation
classification.
