Support Vector Machines in Polymer Science: A Review
Polymers,
Journal Year:
2025,
Volume and Issue:
17(4), P. 491 - 491
Published: Feb. 13, 2025
Polymer
science,
a
discipline
focusing
on
the
synthesis,
characterization,
and
application
of
macromolecules,
has
increasingly
benefited
from
adoption
machine
learning
(ML)
techniques.
Among
these,
Support
Vector
Machines
(SVMs)
stand
out
for
their
ability
to
handle
nonlinear
relationships
high-dimensional
datasets,
which
are
common
in
polymer
research.
This
review
explores
diverse
applications
SVM
science.
Key
examples
include
prediction
mechanical
thermal
properties,
optimization
polymerization
processes,
modeling
degradation
mechanisms.
The
advantages
contrasted
with
its
challenges,
including
computational
cost,
data
dependency,
need
hyperparameter
tuning.
Future
opportunities,
such
as
development
polymer-specific
kernels
integration
real-time
manufacturing
systems,
also
discussed.
Language: Английский
A Model for Assessing the Impact of Intelligent Algorithms on the Translation Quality of Literary Works in Cross-Cultural Communication
Xue Li
No information about this author
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
In
recent
years,
the
accuracy
and
linguistic
fluency
of
translation
based
on
intelligent
algorithms
have
been
relatively
close
to
that
human
beings,
application
has
gradually
become
a
research
hotspot
in
academic
world.
this
paper,
it
is
found
through
relevant
semantic
retention,
cultural
appropriateness,
fluency,
content
comprehensiveness
text
readability
are
important
factors
for
literary
works
cross-cultural
communication.
To
explore
degree
influence
these
quality
works,
paper
analyzes
them
using
multiple
linear
regression
model.
The
first
step
building
mathematical
model
construct
it.
Then,
formulas
calculating
goodness-of-fit
significance
test
equations
introduced.
Finally,
was
tested
residual
analysis
multicollinearity.
results
show
=
0.165+0.124*Semantic
retention
+
0.356*Cultural
appropriateness
0.254*Linguistic
-
0.001*Content
0.256*Text
accessibility.
According
analysis,
impact
not
significant,
greatest
works.
Language: Английский
The interplay between the role of emerging technologies in the field of news communication and brand image building
Wang Lv
No information about this author
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
Emerging
technologies
such
as
big
data,
the
Internet
of
Things
and
artificial
intelligence
are
developing
rapidly
entering
into
many
fields
industries,
while
their
role
in
field
news
communication
brand
image
shaping
has
an
important
influencing.
This
paper
selects
WeChat,
a
Tencent
product,
research
object
divides
four
dimensions,
namely
awareness,
trust,
loyalty,
value,
to
test
relationship
between
emerging
shaping.
Then,
we
put
forward
hypothesis
this
use
empirical
analysis
results
show
that
r-value
technology
loyalty
is
0.591,
p<0.01,
which
proves
there
positive
correlation
two.
have
significant
impact
on
value.
Language: Английский
Adjustment and optimization of the competence structure of accountants in digital transformation
Rui Min
No information about this author
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
The
digitization
and
refinement
of
accounting
are
propelling
work
towards
intelligence,
leading
to
a
further
restructuring
accountants’
professional
competence.
Based
on
the
existing
competency
structure
framework
for
accountants,
this
paper
proposes
an
optimized
“main-core”
taking
into
account
new
requirements
in
digital
transformation.
personnel
structure,
evaluation
index
system
is
designed
combined
with
entropy
weight-TOPSIS
method
analyze
changes
competency.
To
examine
factors
that
affect
personnel’s
competence,
static
panel
regression
model
was
based
multiple
linear
competence
structure.
ability
most
weighted
at
0.2614
financial
management
index,
information
technology
application
rose
from
0.346
0.486
between
2017
2023,
adding
up
40.46%.
Each
1%
increase
knowledge
increases
their
by
0.614%,
behavioral
motivation
ethics
have
positive
effect
level.
As
result,
must
focus
technology,
consolidating
knowledge,
promoting
high-quality
development.
Language: Английский