A Bayesian regularization neural network procedure to solve the language learning system
Knowledge-Based Systems,
Год журнала:
2025,
Номер
unknown, С. 112997 - 112997
Опубликована: Янв. 1, 2025
Язык: Английский
A novel radial basis neural network for the Zika virus spreading model
Computational Biology and Chemistry,
Год журнала:
2024,
Номер
112, С. 108162 - 108162
Опубликована: Июль 26, 2024
Язык: Английский
An adaptive algorithm for numerically solving fractional partial differential equations using Hermite wavelet artificial neural networks
Communications in Nonlinear Science and Numerical Simulation,
Год журнала:
2024,
Номер
137, С. 108121 - 108121
Опубликована: Июнь 1, 2024
Язык: Английский
Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning
Computers in Biology and Medicine,
Год журнала:
2024,
Номер
179, С. 108856 - 108856
Опубликована: Июль 24, 2024
Язык: Английский
On QSPR analysis of glaucoma drugs using machine learning with XGBoost and regression models
Computers in Biology and Medicine,
Год журнала:
2025,
Номер
187, С. 109731 - 109731
Опубликована: Янв. 28, 2025
Язык: Английский
Disruptive Attacks on Artificial Neural Networks: A Systematic Review of Attack Techniques, Detection Methods, and Protection Strategies
Intelligent Systems with Applications,
Год журнала:
2025,
Номер
unknown, С. 200529 - 200529
Опубликована: Апрель 1, 2025
Язык: Английский
Application of an electronic tongue combined with meta-learning for rice origin detection
Engineering Applications of Artificial Intelligence,
Год журнала:
2025,
Номер
156, С. 111174 - 111174
Опубликована: Май 26, 2025
Язык: Английский
Design and experimental implementation of skewed stator structured PM generator using Multi-Objective Genetic Algorithm for gearless direct driven wind system
Ain Shams Engineering Journal,
Год журнала:
2024,
Номер
unknown, С. 103067 - 103067
Опубликована: Сен. 1, 2024
Язык: Английский
Physics‐informed neural networks guided modelling and multiobjective optimization of a mAb production process
The Canadian Journal of Chemical Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 1, 2024
Abstract
In
this
paper,
we
aim
to
correlate
various
process
and
product
quality
attributes
of
a
mammalian
cell
culture
with
parameters.
To
achieve
this,
employed
physics‐informed
neural
networks
that
solve
the
governing
ordinary
differential
equations
comprising
independent
variables
(inputs‐
time,
flow
rates,
volume)
dependent
(outputs‐
viable
density,
dead
glucose
concentration,
lactate
monoclonal
antibody
concentration).
The
proposed
model
surpasses
prediction
accuracy
capabilities
other
commonly
used
modelling
approaches,
such
as
multilayer
perceptron
model.
It
has
higher
R
‐squared
(
2
),
lower
root
mean
square
error,
absolute
error
than
for
all
output
(viable
viability,
Furthermore,
incorporate
Bayesian
optimization
study
maximize
density
concentration.
Single
objective
weighted
sum
multiobjective
were
carried
out
concentration
in
separate
(single
optimization)
combined
(multiobjective
forms.
An
increment
13.01%
18.57%
respectively,
projected
under
single
optimization,
46.32%
67.86%,
compared
base
case.
This
highlights
potential
networks‐based
upstream
processing
cell‐based
antibodies
biopharmaceutical
operations.
Язык: Английский
Towards key genes identification for breast cancer survival risk with neural network models
Computational Biology and Chemistry,
Год журнала:
2024,
Номер
112, С. 108143 - 108143
Опубликована: Авг. 2, 2024
Breast
cancer,
one
common
malignant
tumor
all
over
the
world,
has
a
considerably
high
rate
of
recurrence,
which
endangers
health
and
life
patients.
While
more
data
have
been
available,
how
to
leverage
gene
expression
predict
survival
risk
cancer
patients
identify
key
genes
become
hot
topic
for
research.
Therefore,
in
this
work,
we
investigate
clinical
breast
patients,
specifically
novel
framework
is
proposed
focusing
on
classification
identification
task.
We
firstly
combine
differential
univariate
Cox
regression
analysis
achieve
dimensional
reduction
data.
The
median
time
subsequently
as
threshold
learning
model
based
neural
network
trained
classify
Innovatively,
activation
region
visualization
technology
selected
tool,
20
related
further
analyze
function
these
STRING
database.
It
critical
learn
that,
genetic
biomarkers
identified
paper
may
possess
value
following
treatment
according
literature
findings.
Importantly,
Our
work
accomplishes
objective
proposing
targeted
approach
enhancing
therapeutic
strategies
through
advanced
computational
techniques
analysis.
Язык: Английский