A feature curve-based method for balancing brand identity and emotional imagery in automobile frontal form design
Advanced Engineering Informatics,
Год журнала:
2025,
Номер
65, С. 103118 - 103118
Опубликована: Янв. 18, 2025
Язык: Английский
"Human or artificial intelligence?": an empirical study of respondents' declared preferences in digital graphics
Svetlana Borisovna Solomentseva
Человек и культура,
Год журнала:
2025,
Номер
1, С. 37 - 49
Опубликована: Янв. 1, 2025
Currently,
technologies
based
on
the
use
of
artificial
intelligence
are
being
integrated
into
most
spheres
life
in
modern
society,
which
determines
relevance
research
topic.
The
initial
stages
this
movement
were
associated
with
solving
problems
optimizing
routine
processes,
but
recently
there
has
been
a
tendency
to
introduce
innovative
neural
network
practices
such
areas
as
culture
and
art,
considered
prerogative
man.
purpose
work
is
experimentally
identify
respondents'
declared
preferences
between
digital
graphic
works
created
by
humans
intelligence.
This
will
allow
us
give
an
objective
assessment
potential
generative
technologies,
their
ability
compete
copyrighted
works,
well
degree
influence
vectors
further
development
field
artistic
creativity
creative
design.
A
target
group
62
respondents
skills
was
formed
for
empirical
study.
data
collected
method
using
Google
Forms.
methods
quantitative
statistical
analysis
used
during
performance
stage.
no
formalized
criteria
evaluating
quality
images.
scientific
novelty
study
lies
fact
that,
results
opinions
qualified
survey
participants,
emotional
perception
existing
practical
experience,
announced
determined
first
time.
In
general,
demonstrated
commitment
author
projects
score
55.5%
(the
answer
"yes"
–
20.3%,
"rather
yes"
35.2%),
while
illustrations
developed
received
44.5%
13.5%,
31.0%).
obtained
can
be
theoretical
importance
artists
designers,
researchers
teaching
staff
educational
institutions
providing
training
training.
timely
response
large-scale
changes
when
basic
concepts
art
undergoing
transformation,
rethinking
algorithms
creating
introducing
new
forms
organizing
process.
Язык: Английский
SSE-Net: A novel network based on sequence spatial equation for Camellia sinensis lysine acetylation identification
Computational Biology and Chemistry,
Год журнала:
2025,
Номер
unknown, С. 108442 - 108442
Опубликована: Март 1, 2025
Язык: Английский
Research on the Path to Improving the Teaching Effectiveness of News Communication in Colleges and Universities under the Background of Artificial Intelligence
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2025,
Номер
10(1)
Опубликована: Янв. 1, 2025
Abstract
With
the
rapid
development
of
artificial
intelligence
technology,
field
education,
especially
journalism
communication
teaching
in
colleges
and
universities,
is
facing
unprecedented
opportunities
for
change.
Artificial
not
only
promotes
innovation
methods,
but
also
provides
a
new
path
improving
effects.
This
paper
takes
major
universities
as
research
object,
discusses
how
to
effectively
improve
effect
under
background
intelligence.
Through
investigation
data
analysis
disciplines
30
across
country,
introduction
technology
has
shown
significant
advantages
students’
learning
efficiency,
enhancing
curriculum
interactivity,
teachers’
quality.
The
intelligence-assisted
personalized
system
can
customize
course
content
according
progress
interests,
while
evaluation
real-time
feedback
on
performance
through
analysis,
helping
teachers
adjust
strategies
more
accurately.
In
using
average
grades
have
increased
by
15%,
classroom
participation
20%,
satisfaction
25%.
Язык: Английский
Generative Large Model-Driven Methodology for Color Matching and Shape Design in IP Products
Entropy,
Год журнала:
2025,
Номер
27(3), С. 319 - 319
Опубликована: Март 19, 2025
The
rise
in
generative
large
models
has
gradually
influenced
traditional
product
design
processes,
with
AI-generated
content
(AIGC)
playing
an
increasingly
significant
role.
Globally,
tourism
IP
cultural
products
are
crucial
for
promoting
sustainable
development.
However,
there
is
a
lack
of
practical
methodologies
incorporating
products.
Therefore,
this
study
proposes
methodology
the
color
matching
and
shape
using
multimodal
models.
process
includes
four
phases,
as
follows:
(1)
GPT-4o
used
to
explore
visitors’
emotional
needs
identify
target
imagery;
(2)
Midjourney
generates
options
that
align
imagery,
optimal
selected
through
quadratic
curvature
entropy
method
based
on
curves;
(3)
colored
images
reflecting
representative
colors
AHP
OpenCV;
(4)
harmony
calculations
best
combination.
These
alternatives
evaluated
quantitatively
qualitatively
color-matching
aesthetic
measurement
formula
sensibility
questionnaire.
effectiveness
demonstrated
case
harbor
seal,
showing
strong
correlation
between
quantitative
qualitative
evaluations,
confirming
its
design.
Язык: Английский