Enhancing the safety of hydroelectric power generation systems: an intelligent identification of axis orbits based on a nonlinear dynamics method
Energy,
Год журнала:
2025,
Номер
unknown, С. 135864 - 135864
Опубликована: Апрель 1, 2025
Язык: Английский
Control and dynamic analysis of a BLDC-based pico-pump hydro energy storage system in a utility-interactive wind-based AC/DC microgrid
Journal of Energy Storage,
Год журнала:
2025,
Номер
123, С. 116773 - 116773
Опубликована: Апрель 26, 2025
Язык: Английский
A new multi-strategy optimization stability prediction framework based on DBO - Case study of pumped storage units
Journal of Energy Storage,
Год журнала:
2025,
Номер
125, С. 117005 - 117005
Опубликована: Май 14, 2025
Язык: Английский
Pumped storage hydropower operation for supporting clean energy systems
Опубликована: Май 27, 2025
Язык: Английский
Transient behavior of pumped storage-wind hybrid power system under grid-connected operation condition
Journal of Energy Storage,
Год журнала:
2024,
Номер
103, С. 114222 - 114222
Опубликована: Окт. 23, 2024
Язык: Английский
Tensor Poincaré plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units
Reliability Engineering & System Safety,
Год журнала:
2024,
Номер
254, С. 110607 - 110607
Опубликована: Ноя. 7, 2024
Язык: Английский
The Use of Intelligent Computing in Teaching Model Innovation in Higher Education
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
In
the
field
of
education
and
teaching,
adaptive
learning
is
generally
considered
to
be
superior
non-adaptive
learning,
intelligent
computing
regarded
as
a
valuable
tool
in
terms
building
platforms.
this
paper,
we
intelligently
calculate
students’
neighbor
totals
knowledge
point
competencies
resources
through
collaborative
filtering
recommendation
algorithm
get
similarity
between
students
higher
teaching
generate
resource
dataset.
Subsequently,
an
system
constructed
based
on
assist
promote
innovation
modes.
The
average
MAE
value
(1.90)
paper
lower
than
that
other
algorithms,
indicating
improved
has
better
prediction
accuracy.
experimental
study
practice
shows
there
significant
difference
level
posttest
ability
different
modes
at
end
experiment
(P=0.002),
anxiety
score
group
applying
innovative
(M=10.48)
control
group.
This
paper’s
serves
guide
for
comprehensive,
reform
future,
well
provides
research
direction
enter
teaching.
Язык: Английский
Multimedia Delivery and Teaching Innovation of Civic Value in Art Education in the Digital Media Era
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
The
rapid
development
of
information
technology
and
multimedia
education
in
today’s
world
has
led
to
important
changes
the
delivery
ideological
values
process
art
education.
In
this
paper,
according
form
presentation
knowledge,
a
learning
cognitive
model
is
used
study
transmission
Civic
political
values.
A
diverse
efficient
recommendation
algorithm
proposed,
system
for
Civics
Politics
courses
constructed
based
on
algorithm.
method
mines
set
high-efficiency
items
related
relationship
between
categories
through
conceptual
hierarchical
tree
introduces
diversity
upper
bound
function
optimize
mining
process.
Thus,
rules
are
efficiently
generated
generalized
itemsets.
collaborative
filtering
users
course
types
find
neighbors
that
best
match
target
users.
results
show
four
indicators
paper’s
recommender
better
than
other
methods.
F-measure
0.45,
which
indicates
can
produce
effect
courses.
students
get
more
suitable
them,
improves
efficiency
value
among
students.
Язык: Английский
Innovation of Teaching Methods of Civic and Political Education in Colleges and Universities with the Assistance of Artificial Intelligence
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
Artificial
intelligence
empowers
education
and
promotes
its
integration
innovation,
enabling
the
use
of
learning
analytics
to
accurately
diagnose
situation
implement
precise
teaching.
In
this
paper,
we
have
leveraged
artificial
innovate
traditional
teaching
methods,
developed
a
wisdom
model
specifically
for
college
civic
education,
concentrated
on
application
in
context.
First,
it
creates
student
profiles
based
academic
data
then
provides
personalized
recommendations
resources
by
combining
collaborative
filtering
algorithm
an
improved
K-means
algorithm.
Finally,
analyze
actual
impact
intervention
comparing
portraits
before
after
intervention.
When
number
neighbors
K
takes
same
value,
cosine
similarity
calculation
method
outperforms
other
RMSE,
MAE,
accuracy,
recall,
F1
values
are
0.14,
0.24,
0.99,
0.74,
0.85
when
=
60,
respectively,
which
indicates
that
improvement
paper
is
practical.
This
categorizes
sample
students
into
four
groups
their
behavior
outcomes:
potential,
excellent,
marginal,
hardworking.
All
these
types
demonstrated
some
progress
following
intervention,
confirming
efficacy
paper’s
intelligence-based
approach
education.
Simultaneously,
created
establish
groundwork
future
accurate
instruction.
Язык: Английский