Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2024,
Номер
34(11)
Опубликована: Ноя. 1, 2024
Firing
dynamics
and
its
energy
property
of
neuron
are
crucial
for
exploring
the
mechanism
intricate
information
processing
within
nervous
system.
However,
analysis
discrete
is
significantly
lacking
in
comparison
to
vast
literature
mature
theory
available
on
continuous
neuron,
thereby
necessitating
a
focused
effort
this
underexplored
realm.
In
paper,
we
introduce
Chaivlo
map
by
employing
flux-controlled
memristor
simulate
electromagnetic
radiation
(EMR),
detailed
firing
conducted
based
an
equivalent
Hamiltonian
approach.
Our
observations
reveal
that
range
energy-based
behaviors,
such
as
spike
firing,
coexistence
mixed-mode
chaotic
bursting
can
be
induced
EMR
injected
current.
To
delve
deeper
into
synchronous
dynamics,
establish
network
electrically
coupling
two
memristive
EMR-based
neurons.
Subsequently,
experimentally
evaluate
synchronization
behavior
quantifying
both
factor
average
difference
energy.
findings
conclusively
demonstrate
strength
positively
contribute
network's
ability.
Artificial Intelligence Review,
Год журнала:
2024,
Номер
57(7)
Опубликована: Июнь 11, 2024
Abstract
Deep
artificial
neural
networks
have
become
a
good
alternative
to
classical
forecasting
methods
in
solving
problems.
Popular
deep
classically
use
additive
aggregation
functions
their
cell
structures.
It
is
available
the
literature
that
of
multiplicative
shallow
produces
successful
results
for
problem.
A
type
high-order
network
uses
dendritic
neuron
model
network,
which
has
performance.
In
this
study,
transformation
turned
into
multi-output
architecture.
new
based
on
and
proposed.
The
training
carried
out
with
differential
evolution
algorithm.
performance
compared
basic
some
recent
over
stock
market
time
series.
As
result,
it
been
observed
very
Case Studies in Thermal Engineering,
Год журнала:
2023,
Номер
53, С. 103843 - 103843
Опубликована: Дек. 3, 2023
Microchannel
heat
sinks
play
a
crucial
role
in
dissipating
microelectronic
systems
computer
data
centers.
To
enhance
their
thermal
performance,
this
study
proposes
combined
microchannel
design
consisting
of
various
cavity
shapes
and
straight
ribs,
analyzes
its
transfer
flow
performance
through
numerical
simulation.
The
characteristics
sink
with
different
rib
structures
are
compared.
Moreover,
the
four
parameters
including
relative
length
(α),
width
(β),
ribs
(γ)
(λ)
investigated,
effects
Reynolds
number
variation
on
Nusselt
(Nu),
friction
coefficient
(f)
enhancement
efficiency
(η)
studied.
optimization
process
employs
an
artificial
neural
network
multi-objective
genetic
algorithm
to
determine
optimal
compromise
solution
model,
utilizing
as
evaluation
indices.
results
show
that
rectangular
rounded
is
best
comprehensive
average
η
approximately
9.7
%
higher
than
non-straight
ribbed
model.
Furthermore,
studied
yields
distinct
number,
coefficient,
efficiency.
Notably,
achieved
when
Nu
=
13.59679
f
0.11855,
corresponding
parameter
values
α
0.1575,
β
0.3931,
γ
0.0714,
λ
1.2149.
Ultimately,
these
provide
valuable
insights
into
structural
combination
models.
International Journal of Innovative Science and Modern Engineering,
Год журнала:
2024,
Номер
12(4), С. 1 - 10
Опубликована: Апрель 23, 2024
A
thorough
analysis
of
trends
and
future
directions
reveals
how
machine
learning
is
revolutionizing
stock
market
forecasting.
The
most
recent
research
on
applications
for
prediction
during
the
previous
20
years
methodically
reviewed
in
this
article.
Artificial
neural
networks,
support
vector
machines,
genetic
algorithms
conjunction
with
other
methodologies,
hybrid
or
alternative
AI
approaches
were
categories
used
to
group
journal
articles.
Every
category
was
examined
identify
trends,
distinct
perspectives,
constraints,
areas
that
needed
more
research.
results
provide
insightful
suggestions
further
study
developing
topic.
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0317148 - e0317148
Опубликована: Фев. 20, 2025
Cancer,
the
second-leading
cause
of
mortality,
kills
16%
people
worldwide.
Unhealthy
lifestyles,
smoking,
alcohol
abuse,
obesity,
and
a
lack
exercise
have
been
linked
to
cancer
incidence
mortality.
However,
it
is
hard.
Cancer
lifestyle
correlation
analysis
mortality
prediction
in
next
several
years
are
used
guide
people's
healthy
lives
target
medical
financial
resources.
Two
key
research
areas
this
paper
Data
preprocessing
sample
expansion
design
Using
experimental
comparison,
study
chooses
best
cubic
spline
interpolation
technology
on
original
data
from
32
entry
points
420
converts
annual
into
monthly
solve
problem
insufficient
prediction.
Factor
possible
because
sources
indicate
changing
factors.
TSA-LSTM
Two-stage
attention
popular
tool
with
advanced
visualization
functions,
Tableau,
simplifies
paper's
study.
Tableau's
testing
findings
cannot
analyze
predict
time
series
data.
LSTM
utilized
by
optimization
model.
By
commencing
input
feature
attention,
model
technique
guarantees
that
encoder
converges
subset
sequence
features
during
output
features.
As
result,
model's
natural
learning
trend
quality
enhanced.
The
second
step,
performance
maintains
We
can
choose
network
improve
forecasts
based
real-time
performance.
Validating
source
factor
using
Most
cancers
overlapping
risk
factors,
excessive
drinking,
exercise,
obesity
breast,
colorectal,
colon
cancer.
A
poor
directly
promotes
lung,
laryngeal,
oral
cancers,
according
visual
tests.
expected
climb
18-21%
between
2020
2025,
2021.
Long-term
projection
accuracy
98.96
percent,
smoking
may
be
main
causes.
