Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Feb. 20, 2024
Detecting
hazardous
substances
in
the
environment
is
crucial
for
protecting
human
wellbeing
and
ecosystems.
As
technology
continues
to
advance,
artificial
intelligence
(AI)
has
emerged
as
a
promising
tool
creating
sensors
that
can
effectively
detect
analyze
these
substances.
The
increasing
advancements
information
have
led
growing
interest
utilizing
this
environmental
pollution
detection.
AI-driven
sensor
systems,
AI
Internet
of
Things
(IoT)
be
efficiently
used
monitoring,
such
those
detecting
air
pollutants,
water
contaminants,
soil
toxins.
With
concerns
about
detrimental
impact
legacy
emerging
on
ecosystems
health,
it
necessary
develop
advanced
monitoring
systems
detect,
analyze,
respond
potential
risks.
Therefore,
review
aims
explore
recent
using
AI,
IOTs
taking
into
account
complexities
predicting
tracking
changes
due
dynamic
nature
environment.
Integrating
machine
learning
(ML)
methods
revolutionize
science,
but
also
poses
challenges.
Important
considerations
include
balancing
model
performance
interpretability,
understanding
ML
requirements,
selecting
appropriate
models,
addressing
related
data
sharing.
Through
examining
issues,
study
seeks
highlight
latest
trends
leveraging
IOT
monitoring.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials,
Journal Year:
2023,
Volume and Issue:
147, P. 106103 - 106103
Axioms,
Journal Year:
2022,
Volume and Issue:
11(12), P. 709 - 709
Published: Dec. 8, 2022
Integrating
green
approaches
and
digital
marketing
strategies
for
Information
Communication
Technologies
(ICTs),
which
reduce
environmental
risks
to
desired
levels
by
eliminating
emissions
pollution,
is
considered
one
of
the
most
promising
solutions
logistics
companies.
The
study
strives
bring
a
practical
applicable
solution
decision
problem
involving
selection
indicators
ICTs
in
sector.
An
integrated
Fermatean
Fuzzy
Step-wise
Weight
Assessment
Ratio
Analysis
(FF–SWARA)
Complex
Proportional
(FF–COPRAS)
methodology
applied
evaluate
strategies.
Concerning
findings,
foremost
criterion
“data
management,”
whereas
best
strategy
“programmatic
advertising.”
To
authors’
knowledge,
there
no
other
that
both
offers
industry
considers
protection,
sustainability,
transformation,
energy
costs,
social
economic
factors.
part
ongoing
research
on
productivity,
environment,
digitization,
recycling
estimating
waste
reduction,
as
well
business
practices,
competitiveness
ensuring
employee
satisfaction
resource
efficiency.
Also,
it
investigates
similarities
dissimilarities
approach
practices
determines
extent
these
could
be
reflected.
It
expected
ensure
roadmap
support
sustainable
ecological
awareness
efforts
Logistics
companies
can
select
an
based
informatics
suits
them
using
model
employed
this
study,
handle
uncertainties
effectively.
In
regard,
study’s
focus
reaching
customers
precise
target
audience
applications
businesses,
are
critical
developing
strategy,
plan
process.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(8), P. 6526 - 6526
Published: April 12, 2023
The
integration
of
smart
city
technologies
into
waste
management
is
a
challenging
field
for
decision
makers
due
to
its
multivariate,
multi-limiting,
and
multi-stakeholder
structure,
despite
contribution
the
ecological
economic
sustainability
understanding
cities.
success
sustainable
strategies
depends
on
many
environmental,
technical,
economic,
social
variables,
stakeholders
are
involved
in
these
processes.
Using
fuzzy
multi-criteria
decision-making
(MCDM)
methods
helps
determine
effective,
affordable,
acceptable
strategies.
Although
MCDM
widely
used
various
environmental
engineering
applications,
determination
using
has
not
yet
received
enough
attention
literature.
This
study
aims
contribute
this
gap
literature
by
evaluating
four
different
hybrid
method.
performance
proposed
strategy
alternatives
according
fifteen
sub-criteria
(under
main
criteria
selected
from
literature)
was
evaluated
combined
application
analytic
hierarchy
process
(fuzzy
AHP)
technique
order
preference
similarity
obtain
ideal
solution
TOPSIS).
For
evaluation,
subjective
opinions
ten
experts
working
academia,
private
sector,
or
public
sector
were
obtained
prepared
questionnaires.
As
result,
fewer
atmospheric
emissions
(0.42),
operational
feasibility
(0.64),
initial
investment
costs
(0.56),
increased
awareness
cities
(0.53)
had
highest
weight
values
their
groups.
ranking
closeness
coefficient
(CCi)
as
A2
(0.458)
>
A3
(0.453)
A4
(0.452)
A1
(0.440),
with
being
slightly
ahead
only
0.001
higher
CCi
value.
To
test
reliability
stability
results,
sensitivity
analysis
also
performed
eighteen
scenarios,
which
weights
25%
decreased
50%,
they
assumed
be
1
0,
all
same
group
equal
values.
Since
did
change,
at
beginning
found
robust
against
sub-criterion
changes.
Journal of Environmental Planning and Management,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 27
Published: Jan. 19, 2024
This
study
employs
the
undesirable
output
super-efficiency
SBM-DEA
model
to
reassess
green
innovation
efficiency
(GIE)
of
30
Chinese
provinces
from
2011
2020.
We
pioneer
examination
public
attention
(PA)
influence
on
GIE
and
spatial
spillover
effects,
employing
Durbin
model.
Additionally,
a
mediation
model,
incorporating
big
data
technology
as
mediator,
is
adopted.
Key
findings
are
follows:
1)
Significant
correlations
exist
in
PA
GIE.
2)
Improved
one
province
can
help
enhance
neighboring
but
cannot
directly
impact
local
3)
The
positive
follows
an
indirect
path.
Specifically,
elevates
level
provinces,
this
technological
effect
significantly
enhances
across
entire
region.
4)
Industrial
structure
research
development
intensity
also
some
extent.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
353, P. 120105 - 120105
Published: Feb. 1, 2024
Food
waste
has
received
wide
attention
due
to
its
hazardous
environmental
effects,
such
as
soil,
water,
and
air
pollution.
Evaluating
food
treatment
techniques
is
imperative
realize
sustainability.
This
study
proposes
an
integrated
framework,
the
complex
q-rung
orthopair
fuzzy-generalized
TODIM
(an
acronym
in
Portuguese
for
interactive
multi-criteria
decision-making)
method
with
weighted
power
geometric
operator,
assess
appropriate
technique
waste.
The
assessment
of
can
be
divided
into
three
phases:
information
processing,
fusion,
ranking
alternatives.
Firstly,
fuzzy
set
flexibly
describes
periodic
characteristics
processing
process
various
parameters
q.
Then,
operator
employed
calculate
weight
expert
form
group
evaluation
matrix,
which
each
input
rating
depends
upon
other
ratings.
It
simulate
mutual
support,
multiplicative
preferences,
interrelationship
experts.
Next,
generalized
rank
techniques,
considering
experts’
psychological
bounded
behavior.
Subsequently,
a
real-world
application
case
examines
practicability
proposed
framework.
Furthermore,
sensitivity
analysis
verifies
validity
stability
presented
comparative
highlights
effectiveness
this
framework
using
existing
frameworks.
According
result,
Anaerobic
digestion
(0.0043)
highest
priority
among
considered
alternatives,
while
Incineration
(−0.0009)
lowest.
Supply Chain Analytics,
Journal Year:
2024,
Volume and Issue:
6, P. 100063 - 100063
Published: March 19, 2024
The
Internet
of
Things
(IoT)
has
attracted
the
attention
researchers
and
practitioners
in
supply
chains
logistics
(LSCs).
IoT
improves
monitoring,
controlling,
optimizing,
planning
LSCs.
Several
have
reviewed
IoT-based
LSCs
publications
indexed
by
academic
journals
focusing
on
decision-making.
Decision
support
systems
(DSS)
are
infancy
stage
This
paper
reviews
IoT-LSCs
from
DSS
perspective.
We
propose
a
new
framework
for
helping
decision-makers
implement
based
decisions
that
need
to
be
made
describing
transition
scheme
simple,
if-then
analytical
decision-making
approaches
IoT-LSCs.
Adopter
II
is
an
extension
framework,
which
layer
called
'decision'
been
added
enable
implementing
improve
list
predefined
processes
Although
literature
review
analysis
provides
valuable
insights,
wide
range
related
information
available
online.
study
also
utilizes
web
content
mining
approach
first
time
analyze
context.
results
show
IoT-LSC
field
involves
two
emerging
themes,
blockchain
chain
5.0,
mainstream
i.e.,
big
data
analytics
management.
