Energies,
Год журнала:
2024,
Номер
17(18), С. 4562 - 4562
Опубликована: Сен. 12, 2024
The
use
of
electric
automobiles,
or
EVs,
is
essential
to
environmentally
conscious
transportation.
Battery
EVs
(BEVs)
are
predicted
become
increasingly
accepted
for
passenger
vehicle
transportation
within
the
next
10
years.
Although
enthusiasm
friendly
on
rise,
there
remain
significant
concerns
and
unanswered
research
regarding
possible
future
EV
power
transmission.
Numerous
motor
drive
control
algorithms
struggle
deliver
efficient
management
when
ripples
in
torque
minimization
improved
dependability
approaches
motors
taken
into
account.
Control
techniques
involving
direct
(DTC),
field
orientation
(FOC),
sliding
mode
(SMC),
intelligent
(IC),
model
predictive
(MPC)
implemented
successfully
deal
with
this
problem.
present
study
analyses
only
sophisticated
strategies
frequently
utilized
motors,
such
as
brushless
current
(BLDC)
motor,
solutions
reduce
fluctuations.
This
additionally
explores
history
operational
method
between
EM
PEC,
design
development.
prospects
include
a
vital
selection
lowering
ripple,
well
additional
possibilities
improve
functionality.
BIONATURE,
Год журнала:
2024,
Номер
44(1), С. 16 - 27
Опубликована: Апрель 16, 2024
The
integration
of
biomimicry
principles
with
artificial
intelligence
(AI)
presents
a
compelling
approach
to
addressing
complex
challenges
across
various
domains.
This
article
explores
the
synergy
between
and
AI,
elucidating
how
emulation
natural
processes
structures
can
inspire
innovative
solutions.
Beginning
an
overview
biomimicry's
historical
roots
notable
achievements,
narrative
progresses
highlight
AI's
role
in
accelerating
biomimetic
research
innovation.
Various
applications
biomimicry,
ranging
from
material
development
biotech
climate
change
mitigation,
are
discussed,
showcasing
breadth
possibilities
offered
by
this
interdisciplinary
approach.
Challenges
ethical
considerations
inherent
combining
AI
were
also
examined,
emphasizing
need
for
multidisciplinary
collaboration
awareness.
Looking
ahead,
future
directions
outlined,
including
algorithms
that
integrate
knowledge
diverse
biological
sources
incorporation
moral
into
design
processes.
Ultimately,
concludes
suggesting
convergence
holds
promise
fostering
sustainable,
efficient,
ethically
informed
technological
advancements,
facilitating
harmonious
relationship
humanity
world.
GRAPHICAL
ABSTRACT:
Mathematics,
Год журнала:
2024,
Номер
12(8), С. 1249 - 1249
Опубликована: Апрель 20, 2024
Stagnation
at
local
optima
represents
a
significant
challenge
in
bio-inspired
optimization
algorithms,
often
leading
to
suboptimal
solutions.
This
paper
addresses
this
issue
by
proposing
hybrid
model
that
combines
the
Orca
predator
algorithm
with
deep
Q-learning.
The
is
an
technique
mimics
hunting
behavior
of
orcas.
It
solves
complex
problems
exploring
and
exploiting
search
spaces
efficiently.
Deep
Q-learning
reinforcement
learning
neural
networks.
integration
aims
turn
stagnation
problem
into
opportunity
for
more
focused
effective
exploitation,
enhancing
technique’s
performance
accuracy.
proposed
leverages
biomimetic
strengths
identify
promising
regions
nearby
space,
complemented
fine-tuning
capabilities
navigate
these
areas
precisely.
practical
application
approach
evaluated
using
high-dimensional
Heartbeat
Categorization
Dataset,
focusing
on
feature
selection
problem.
dataset,
comprising
electrocardiogram
signals,
provided
robust
platform
testing
our
model.
Our
experimental
results
are
encouraging,
showcasing
strategy’s
capability
relevant
features
without
significantly
compromising
metrics
machine
models.
analysis
was
performed
comparing
improved
method
against
its
native
version
set
state-of-the-art
algorithms.
Photonics,
Год журнала:
2024,
Номер
11(5), С. 442 - 442
Опубликована: Май 9, 2024
The
interplay
between
two
paradigms,
artificial
intelligence
(AI)
and
optical
metasurfaces,
nowadays
appears
obvious
unavoidable.
AI
is
permeating
literally
all
facets
of
human
activity,
from
science
arts
to
everyday
life.
On
the
other
hand,
metasurfaces
offer
diverse
sophisticated
multifunctionalities,
many
which
appeared
impossible
only
a
short
time
ago.
use
for
optimization
general
approach
that
has
become
ubiquitous.
However,
here
we
are
witnessing
two-way
process—AI
improving
but
some
also
AI.
helps
design,
analyze
utilize
while
ensure
creation
all-optical
chips.
This
ensures
positive
feedback
where
each
enhances
one:
this
may
well
be
revolution
in
making.
A
vast
number
publications
already
cover
either
first
or
second
direction;
modest
includes
both.
an
attempt
make
reader-friendly
critical
overview
emerging
synergy.
It
succinctly
reviews
research
trends,
stressing
most
recent
findings.
Then,
it
considers
possible
future
developments
challenges.
author
hopes
broad
interdisciplinary
will
useful
both
dedicated
experts
scholarly
audience.
Energies,
Год журнала:
2024,
Номер
17(16), С. 4104 - 4104
Опубликована: Авг. 18, 2024
The
paper
presents
the
application
of
a
new
bio-inspired
metaheuristic
optimization
algorithm.
popularity
and
usability
different
swarm-based
algorithms
are
undeniable.
majority
known
mimic
hunting
behavior
animals.
However,
current
approach
does
not
satisfy
full
bio-diversity
inspiration
among
organisms.
Thus,
Birch-inspired
Optimization
Algorithm
(BiOA)
is
proposed
as
powerful
efficient
tool
based
on
pioneering
one
most
common
tree
species.
Birch
trees
for
their
superiority
over
other
species
in
overgrowing
spreading
across
unrestricted
terrains.
two-step
algorithm
reproduces
both
seed
transport
plant
development.
A
detailed
description
mathematical
model
given.
discussion
examination
influence
parameters
efficiency
also
provided
detail.
In
order
to
demonstrate
effectiveness
algorithm,
its
selecting
control
structure
drive
system
with
an
elastic
connection
shown.
PI
controller
two
additional
feedbacks
torque
speed
difference
between
motor
working
machine
was
selected.
rated
variable
considered.
theoretical
considerations
simulation
study
were
verified
laboratory
stand.
Energies,
Год журнала:
2024,
Номер
17(18), С. 4562 - 4562
Опубликована: Сен. 12, 2024
The
use
of
electric
automobiles,
or
EVs,
is
essential
to
environmentally
conscious
transportation.
Battery
EVs
(BEVs)
are
predicted
become
increasingly
accepted
for
passenger
vehicle
transportation
within
the
next
10
years.
Although
enthusiasm
friendly
on
rise,
there
remain
significant
concerns
and
unanswered
research
regarding
possible
future
EV
power
transmission.
Numerous
motor
drive
control
algorithms
struggle
deliver
efficient
management
when
ripples
in
torque
minimization
improved
dependability
approaches
motors
taken
into
account.
Control
techniques
involving
direct
(DTC),
field
orientation
(FOC),
sliding
mode
(SMC),
intelligent
(IC),
model
predictive
(MPC)
implemented
successfully
deal
with
this
problem.
present
study
analyses
only
sophisticated
strategies
frequently
utilized
motors,
such
as
brushless
current
(BLDC)
motor,
solutions
reduce
fluctuations.
This
additionally
explores
history
operational
method
between
EM
PEC,
design
development.
prospects
include
a
vital
selection
lowering
ripple,
well
additional
possibilities
improve
functionality.
