Sensors,
Journal Year:
2024,
Volume and Issue:
24(24), P. 8053 - 8053
Published: Dec. 17, 2024
Applying
deep
learning
to
unsupervised
bearing
fault
diagnosis
in
complex
industrial
environments
is
challenging.
Traditional
detection
methods
rely
on
labeled
data,
which
costly
and
labor-intensive
obtain.
This
paper
proposes
a
novel
approach,
WDCAE-LKA,
combining
wide
kernel
convolutional
autoencoder
(WDCAE)
with
large
attention
(LKA)
mechanism
improve
under
unlabeled
conditions,
the
adaptive
threshold
module
based
multi-layer
perceptron
(MLP)
dynamically
adjusts
thresholds,
boosting
model
robustness
imbalanced
scenarios.
Experimental
validation
two
datasets
(CWRU
customized
ball
screw
dataset)
demonstrates
that
proposed
outperforms
both
traditional
state-of-the-art
methods.
Notably,
WDCAE-LKA
achieved
an
average
diagnostic
accuracy
of
90.29%
varying
scenarios
CWRU
dataset
72.89%
showed
remarkable
conditions;
compared
advanced
models,
it
shortens
training
time
by
10–26%
improves
5–10%.
The
results
underscore
potential
as
robust
effective
solution
for
intelligent
applications.
Sustainable Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 14, 2025
ABSTRACT
The
research
on
big
data
analytics
capabilities
and
innovative
industrial
technologies
such
as
Industry
4.0
(I4.0)
has
grown
to
the
extent
where
researchers
are
striving
uncover
nexus
from
distinct
perspectives,
worldwide.
present
study
explores
connection
of
state‐of‐the‐art
(SAT)
IoT
along
with
I4.0
(e.g.,
environmental,
managerial
economics,
supply
chains,
organizational,
social
capabilities)
understand
insights
into
how
it
elevates
sustainable
performance
(SP)
consideration
three
perspectives
economic,
perspective).
results
using
SmartPLS
structure
equation
techniques
(SEM)
asserted
that
positively
affect
SP
organizations.
empirical
testing
also
affirmed
positive
between
performance.
This
provides
evidence
regarding
SAT
may
enhance
corporate
development
in
current
competitive
technological‐oriented
era.
multiple
implications
for
related
management
theoretical
existing
literature
development,
analytics,
technologies.
Finally,
enlists
drawbacks
future
directions
scholars.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 147 - 184
Published: Feb. 21, 2025
The
purpose
of
this
research
was
to
conduct
a
comprehensive
review
artificial
intelligence
and
blockchain
technology
in
advancing
medical
cryptocurrency.
This
study
used
desktop
literature
approach
on
the
latest
peer-reviewed
journal
articles
technology.
In
order
achieve
this,
can
solve
current
AI
problems
offer
different
IoT
nodes
safe
resource
data
sharing.
Blockchain
power
marketplaces
for
components
decentralised
coordination
platforms.
As
result,
adoption
reaches
previously
unheard-of
level
addresses
safety
concerns
as
well
creating
alternative
economies
currencies
now
known
cryptocurrencies.
has
led
growth
intelligence,
built
capabilities
address
issues
security,
access,
building
new
markets
at
an
even
faster
scale
than
ever
before.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 3176 - 3176
Published: April 3, 2025
This
study
investigates
the
critical
roles
of
green
innovation
adoption
(GIA)
and
technology
(GTA)
in
advancing
digital
economy
(DE).
It
explores
how
creative
enterprises
(CE)
financial
capability
(FC)
mediate
moderate
relationships
between
innovation,
adoption,
economy.
Data
were
collected
from
400
respondents
automotive
industry
China
through
a
structured
survey
questionnaire.
Structural
Equation
Modeling
(SEM)
was
conducted
using
Smart
PLS
4.0
to
analyze
data
test
proposed
hypotheses.
The
findings
indicate
that
significantly
positively
impact
Moreover,
these
factors
influence
enterprises,
enhancing
Creative
also
found
relationship
innovation/technology
In
addition,
moderated
link
research
contributes
literature
by
examining
synergistic
effects
environmental
sustainability,
technological
integration
within
provides
actionable
insights
into
embedding
sustainable
practices
evolving
landscape
while
highlighting
intricate
dynamics
among
resources
driving
economic
transformation.
exploring
economy,
focusing
on
as
mediating
factor.
for
integrating
sustainability
landscape,
offering
novel
framework
transformation
industry.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 3226 - 3226
Published: April 4, 2025
While
previous
studies
have
focused
on
either
conventional
or
digital
innovations
individually,
few
empirically
compared
the
relative
impact
of
these
two
types
innovation
firm
sustainability.
Furthermore,
earlier
applied
a
dynamic
capabilities
perspective
and
technology
acceptance
model
(TAM)
to
understand
how
strategies
affect
long-term
competitiveness,
particularly
when
targeting
venture
firms.
In
this
vein,
aim
study
is
identify
factors
that
play
an
important
role
in
sustainability
firms
and,
particular,
demonstrate
which
factor
has
more
positive
effect
between
innovation,
recently
been
considered
be
crucial.
study,
‘corporate
sustainability’
refers
ability
secure
growth
potential
operational
resource
efficiency,
maintain
continuous
competitive
advantage,
even
rapidly
changing
market
environment.
This
especially
related
adapt
change,
performance,
create
new
opportunities
through
using
technology.
Based
secondary
data
jointly
surveyed
by
‘Korean
Ministry
Small-
Medium-sized
Enterprises
Startups’
‘Korea
Venture
Business
Association
(KOVA)’,
regression
analysis
3000
collected
2022
was
conducted.
According
result,
both
are
vital
factors,
but
we
found
digital-business-model
had
stronger
for
result
provides
valuable
implications
improving
competitiveness
maintaining
Administrative Sciences,
Journal Year:
2025,
Volume and Issue:
15(4), P. 146 - 146
Published: April 17, 2025
The
expansion
of
the
digital
economy
motivated
researchers
to
precisely
identify
its
effects
and
impact
on
all
factors
that
support
sustainable
development
in
nations.
This
study
examines
role
promoting
economic
interplays
with
renewable
energy
European
countries
over
period
1996–2020.
first
aim
is
provide
a
theoretical
approach
by
reviewing
most
relevant
studies
issue.
second
develop
linear
regression
model
for
evaluating
environment.
fixed-effect
estimation
technique
panel
data
models
will
be
chosen
control
heterogeneity.
results
confirm
hypothesis
positive
environmental
performance.
paper
can
considered
useful
viewpoint
understanding
complex
relationship
economy’s
contribution
advancing
performance,
thus
adding
existing
literature.
