E-Waste and Lithium-ion Battery Recycling Insights for Sustainable Transportation
Lecture notes in intelligent transportation and infrastructure,
Год журнала:
2025,
Номер
unknown, С. 203 - 230
Опубликована: Янв. 1, 2025
Язык: Английский
AI and Smart Manufacturing
Advances in business strategy and competitive advantage book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 28
Опубликована: Авг. 26, 2024
This
chapter
explores
the
impact
of
Industry
4.0
on
various
sectors,
focusing
smart
manufacturing,
supply
chain
optimization,
and
artificial
intelligence.
It
highlights
potential
intelligent
technologies,
automated
processes,
data
analytics
to
enhance
production
efficiency,
product
quality,
financial
savings.
The
also
discusses
role
blockchain,
predictive
analytics,
IoT
in
improving
management.
Real-time
visibility,
end-to-end
traceability,
accurate
demand
projections
are
essential
for
a
responsive
adaptable
chain.
Artificial
intelligence,
including
machine
learning,
natural
language
processing,
computer
vision,
can
improve
operational
productivity,
innovation.
provides
real-world
examples
technology
offers
an
optimistic
outlook
its
transformational
beneficial
possibilities.
challenges
possibilities,
using
actual
thorough
review
academic
literature.
Язык: Английский
Computational Intelligence-Driven Design and Optimization of Polyurethane Belt-Type Oil Skimmer for Sustainable Manufacturing Using Solidworks 3D CAD
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 445 - 464
Опубликована: Фев. 21, 2025
This
study
focuses
on
developing
a
belt-type
oil
skimmer
to
effectively
remove
from
water
surfaces,
promoting
green
industry
and
reducing
global
pollution.
The
uses
belt
mechanism
that
density
differences
oil,
achieving
an
efficiency
of
62%
92%
depending
the
type.
SOLIDWORKS
create
detailed
3D
model,
adhering
best
practices.
research
extends
beyond
environmental
protection
aquatic
ecosystems,
aligning
with
eco-friendly
industrial
practices
showcasing
impact
technical
advancements
challenges.
demonstrates
potential
improving
oil-water
separation-dependent
operations
Язык: Английский
Digital Health Technologies for Preventive Cardiology
Advances in medical technologies and clinical practice book series,
Год журнала:
2024,
Номер
unknown, С. 379 - 400
Опубликована: Окт. 18, 2024
This
chapter
explores
the
potential
of
digital
health
technologies
in
preventive
cardiology,
including
telemedicine,
wearables,
sensors,
artificial
intelligence,
and
mobile
platforms.
These
have
shown
effectiveness
reducing
cardiovascular
risk
factors
improving
patient
outcomes.
However,
barriers
to
widespread
adoption
include
literacy
gaps,
limited
internet
access,
data
privacy
concerns,
technical
complexities.
To
overcome
these,
this
proposes
strategies
like
national
e-Health
guidelines,
stakeholder
engagement,
improved
regulatory
standards,
human-centered
design
principles,
integration
with
existing
healthcare
systems,
technology
infrastructure
investments,
fair
pricing
models.
Addressing
security,
accessibility,
ethical
considerations
is
crucial
for
a
future
personalized,
proactive,
accessible
care.
The
concludes
by
highlighting
challenges
cardiology.
Язык: Английский
AI-Enabled Sustainable Urban Planning and Management
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 233 - 260
Опубликована: Ноя. 22, 2024
This
chapter
explores
the
transformative
potential
of
Artificial
Intelligence
(AI)
in
sustainable
urban
planning.
As
cities
grapple
with
rapid
urbanization
and
climate
change,
AI
offers
innovative
solutions
through
data
analytics,
predictive
modeling,
optimization.
Successful
AI-enabled
planning
projects
demonstrate
importance
data-driven
decision-making,
community
engagement,
interdisciplinary
collaboration,
scalability.
The
examines
applications
traffic
management,
energy
efficiency,
waste
design,
engagement.
Ethical
considerations,
including
privacy,
algorithmic
bias,
digital
divide,
are
discussed,
emphasizing
need
for
responsible
development
inclusive
provides
insights
into
how
AI-enhanced
can
promote
sustainability,
resilience,
social
equity.
Key
considerations
adoption,
such
as
decision-making
highlighted.
Язык: Английский
Inferences on Countries Through MCDM Over Pharmaceutical Consumption
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 33 - 64
Опубликована: Окт. 25, 2024
This
chapter
aims
to
obtain
various
inferences
about
the
health
systems
of
countries
by
using
multi-criteria
decision
making
(MCDM)
methods
on
drug
consumption
data.
Pharmaceutical
is
seen
as
a
useful
resource
for
assessing
performance
systems.
comprehensively
analyse
combining
CoCoSo
and
TOPSIS-Sort-B
methods.
will
be
used
assess
countries'
each
group
within
framework
anatomical
therapeutic
chemical
(ATC)
classification.
For
ATC
class,
ranked
method
classified
good-medium-poor
method.
The
findings
have
potential
valuable
managers,
policy
makers,
economists,
researchers,
other
relevant
stakeholders.
It
also
serve
practical
guide
researchers
who
want
apply
MCDM
in
field
health.
Язык: Английский
Digital Transformation Across Generations
Advances in human and social aspects of technology book series,
Год журнала:
2024,
Номер
unknown, С. 23 - 40
Опубликована: Ноя. 29, 2024
The
integration
of
robotics
and
artificial
intelligence
(AI)
is
transforming
industries,
enhancing
efficiency,
safety,
productivity.
This
chapter
explores
the
impact
autonomous
systems
across
various
sectors,
including
manufacturing,
healthcare,
transportation,
agriculture.
convergence
AI
enables
adaptive
to
perform
complex
tasks
independently,
driving
innovation
reshaping
business
operations.
Machine
learning,
computer
vision,
sensor
fusion
empower
robots
learn
from
data,
recognize
patterns,
interact
with
humans.
Successful
applications
include
self-driving
cars,
robotic-assisted
surgery,
precision
farming,
smart
home
devices.
However,
challenges
persist,
such
as
reliability,
ethics,
data
privacy,
complexity
implementation.
As
continue
evolve,
they
will
drive
sustainable
practices,
optimize
resource
use,
encourage
interdisciplinary
collaboration.
Future
research
should
focus
on
developing
robust
algorithms,
safety
protocols,
establishing
ethical
guidelines.
Язык: Английский