Introduction:
The
study
explored
the
impact
of
global
competitiveness
and
technological
progress
on
enhancing
economic
sustainability
within
framework
globalization.Methods:
A
comprehensive
survey
was
conducted,
gathering
data
from
210
respondents.
Logit
regression
analysis
used
to
assess
influence
innovation,
competitiveness,
technical
outcomes.
Model
accuracy
tested
using
Receiver
Operating
Characteristic
(ROC)
curve.Results:
findings
showed
that
innovation
increased
likelihood
achieving
with
an
odds
ratio
2.34
(p
=
0.003).
Global
also
played
a
significant
role,
improving
by
1.90
times
0.008).
Technical
positively
influenced
sustainability,
1.62
0.025).
model's
predictive
validated
AUC
value
0.82.Conclusions:
emphasized
importance
fostering
strengthening
market
participation,
advancing
capabilities
drive
sustainability.
In
line
Sustainable
Development
Goals,
policymakers
business
leaders
should
prioritize
ecosystems
strategic
investments
in
technology
ensure
long-term
growth
resilience
globalized
economy
Batteries,
Год журнала:
2024,
Номер
10(12), С. 440 - 440
Опубликована: Дек. 11, 2024
Battery
recycling
has
become
increasingly
crucial
in
mitigating
environmental
pollution
and
conserving
valuable
resources.
As
demand
for
battery-powered
devices
rises
across
industries
like
automotive,
electronics,
renewable
energy,
efficient
is
essential.
Traditional
methods,
often
reliant
on
manual
labor,
suffer
from
inefficiencies
harm.
However,
recent
artificial
intelligence
(AI)
advancements
offer
promising
solutions
to
these
challenges.
This
paper
reviews
the
latest
developments
AI
applications
battery
recycling,
focusing
methodologies,
challenges,
future
directions.
technologies,
particularly
machine
learning
deep
models,
are
revolutionizing
sorting,
classification,
disassembly
processes.
AI-powered
systems
enhance
efficiency
by
automating
tasks
such
as
identification,
material
characterization,
robotic
disassembly,
reducing
human
error
occupational
hazards.
Additionally,
integrating
with
advanced
sensing
technologies
computer
vision,
spectroscopy,
X-ray
imaging
allows
precise
characterization
real-time
monitoring,
optimizing
strategies
recovery
rates.
Despite
advancements,
data
quality,
scalability,
regulatory
compliance
must
be
addressed
realize
AI’s
full
potential
recycling.
Collaborative
efforts
interdisciplinary
domains
essential
develop
robust,
scalable
AI-driven
solutions,
paving
way
a
sustainable,
circular
economy
materials.
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 315 - 332
Опубликована: Сен. 20, 2024
Mobile
apps
and
room
technology
are
transforming
the
hotel
sector,
improving
productivity
visitor
experiences.
Smartphone
make
booking
rooms,
checking
in
out,
using
amenities,
unlocking
rooms
easy.
These
improve
experiences
with
personalized
recommendations
smooth
staff
contact.
Smart
thermostats,
automatic
lighting,
voice-activated
assistants,
integrated
entertainment
systems
individual
havens.
innovations
convenience,
energy
efficiency,
sustainability
revealing
future
of
hospitality.
technologies'
advanced
data
analytics
help
hotels
understand
preferences,
offerings,
increase
service
efficiency.
smart
technologies
not
a
fad
hospitality;
they
elevate
bar
client
satisfaction
loyalty
towards
products
services
operations.
As
these
improve,
that
integrate
use
them
will
stay
relevant
gain
competitive
edge
by
giving
guests
better
experience.
Sustainability,
Год журнала:
2024,
Номер
16(16), С. 6890 - 6890
Опубликована: Авг. 11, 2024
This
article
addresses
the
use
of
artificial
intelligence
for
needs
effective,
sustainable
development
in
logistics
and
its
components.
The
subject
this
is
to
highlight
possibility
processing
optimization
methods
using
an
module.
goal
determine
whether
AI
module
can
replicate
same,
or
at
least
have
a
similar
result,
as
traditional
used
practice.
challenge
involves
constantly
identifying
reserves
already
highly
sophisticated
micro-logistics
systems
modern
commercial
means
intelligence.
Applying
elements
company’s
model
new
approach.
aims
reduce
costs
through
calculations
specific
area
defined
it.
By
optimizing
distribution
routes
ChatGPT-3.5,
we
significantly
reduced
total
distance
traveled,
leading
substantial
savings
transportation
costs.
led
significant
improvement
efficiency
logistic
processes
considerable
cost
savings.
result
demonstrates
that
be
effective
tool
solving
complex
tasks.
possibilities
effectively
with
help
lie
not
only
quality
achieved
outputs
but
also
speed
procedures
project
It
follows
from
definition
will
continue
play
essential
role
field
future.
Human computer interaction.,
Год журнала:
2024,
Номер
8(1), С. 163 - 163
Опубликована: Дек. 26, 2024
AI-driven
predictive
analytics
has
revolutionized
decision-making
processes
in
business,
providing
organizations
with
actionable
insights
derived
from
vast
datasets.
By
leveraging
advanced
machine
learning
algorithms
and
data
mining
techniques,
enables
businesses
to
anticipate
trends,
identify
risks,
optimize
strategies
unprecedented
accuracy.
This
research
explores
the
transformative
impact
of
across
industries,
focusing
on
its
applications
customer
behavior
analysis,
supply
chain
optimization,
financial
forecasting.
Additionally,
it
examines
ethical
practical
challenges,
including
privacy
concerns,
algorithmic
bias,
need
for
skilled
personnel.
analyzing
real-world
case
studies,
study
demonstrates
how
fosters
innovation
competitiveness
while
highlighting
overcoming
implementation
barriers.
The
findings
underscore
potential
reshape
business
landscapes,
offering
a
significant
edge
data-driven
world.
Introduction:
The
study
explored
the
impact
of
global
competitiveness
and
technological
progress
on
enhancing
economic
sustainability
within
framework
globalization.Methods:
A
comprehensive
survey
was
conducted,
gathering
data
from
210
respondents.
Logit
regression
analysis
used
to
assess
influence
innovation,
competitiveness,
technical
outcomes.
Model
accuracy
tested
using
Receiver
Operating
Characteristic
(ROC)
curve.Results:
findings
showed
that
innovation
increased
likelihood
achieving
with
an
odds
ratio
2.34
(p
=
0.003).
Global
also
played
a
significant
role,
improving
by
1.90
times
0.008).
Technical
positively
influenced
sustainability,
1.62
0.025).
model's
predictive
validated
AUC
value
0.82.Conclusions:
emphasized
importance
fostering
strengthening
market
participation,
advancing
capabilities
drive
sustainability.
In
line
Sustainable
Development
Goals,
policymakers
business
leaders
should
prioritize
ecosystems
strategic
investments
in
technology
ensure
long-term
growth
resilience
globalized
economy
