Potable
water
accessibility
is
becoming
the
scarcest
matter
all
over
world.
It
essential
to
assess
quality
indices.
This
paper,
aimed
create
a
user-friendly
MATLAB
interface
tailored
for
practitioners
with
limited
programming
experience.
built
on
base
of
natural
phenomena
and
consists
algorithmic
complex
solutions
by
combining
particle
swarm
optimization
(PSO)
support
vector
machines
(SVMs).
employed
fundamental
Artificial
Intelligent
Machine
Learning
methods
predict
quality,
merging
PSO
SVMs.
investigation
delved
into
classification
predictive
AI
systems,
leading
development
four
individual
models,
hybrid
metaheuristic
regression
model,
ensemble
techniques
(stacking,
voting,
bagging).
Initial
focus
singular
technique,
SVM.
The
primary
goal
propose
versatile
framework
modeling.
approach
enhance
both
accuracy
practical
application
models.
resulting
empowers
administrators
hydrologists
select
suitable
analytical
tools
management
using
techniques.
system
shows
96%
accurate
result.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 19, 2024
Abstract
The
selection
of
an
optimal
decision-making
method
for
water
resource
management
is
important
and
necessary.
In
this
context,
game
theory
makes
a
significant
contribution
to
the
advancement
achieving
outcomes
due
its
high
efficiency
in
solving
multi-objective
problems
offering
diverse
modeling
techniques.
study,
prioritization
potential
contamination
springs
Khorramabad
was
considered,
by
using
Borda
bargaining
algorithms
theory,
most
effective
parameters
critical
resources
terms
were
identified.
Various
parameters,
including
pH,NO3
etc.,
collected
calculated
studied
entered
into
based
on
their
importance
creating
pollution
potential.
Landsat
8
satellite's
OLI
sensor
with
imagery
date
2017
utilized
generate
LU/LC
map
region.
By
employing
scoring
method,
CO3,
K,
HCO3
effective,
scores
232,
157.5
153.5,
respectively.
Implementing
algorithm,
pH
254,
177
165,
Finally,
presented
both
methods.
Golestan
Qeyu,
ranked
first.
implementing
Qeyu
Dareh-Saki
are
as
top
priorities.
Which
these
methods
more
suitable
groundwater
management,
according
guiding
principles,
depends
preferences
decision-makers
goals
management.
Journal of Physics Conference Series,
Journal Year:
2023,
Volume and Issue:
2449(1), P. 012008 - 012008
Published: March 1, 2023
Abstract
In
this
paper,
we
are
committed
to
investigating
the
fractal
decomposition
of
power
sets.
Our
main
result
is
that
every
set
can
be
decomposed
into
a
sum
and
an
isomorphic
does
not
intersect
with
it.
For
finite
set,
property
drawn
on
ordinal
line
by
constructing
number
axis
line,
distribution
graph
obtained
using
parallel
translation
drawing
method.
Moreover,
distributions
do
overlap
or
cross.
The
results
in
paper
provide
new
perspective
for
further
investigation
Potable
water
accessibility
is
becoming
the
scarcest
matter
all
over
world.
It
essential
to
assess
quality
indices.
This
paper,
aimed
create
a
user-friendly
MATLAB
interface
tailored
for
practitioners
with
limited
programming
experience.
built
on
base
of
natural
phenomena
and
consists
algorithmic
complex
solutions
by
combining
particle
swarm
optimization
(PSO)
support
vector
machines
(SVMs).
employed
fundamental
Artificial
Intelligent
Machine
Learning
methods
predict
quality,
merging
PSO
SVMs.
investigation
delved
into
classification
predictive
AI
systems,
leading
development
four
individual
models,
hybrid
metaheuristic
regression
model,
ensemble
techniques
(stacking,
voting,
bagging).
Initial
focus
singular
technique,
SVM.
The
primary
goal
propose
versatile
framework
modeling.
approach
enhance
both
accuracy
practical
application
models.
resulting
empowers
administrators
hydrologists
select
suitable
analytical
tools
management
using
techniques.
system
shows
96%
accurate
result.
