Sustainability,
Год журнала:
2023,
Номер
15(22), С. 15774 - 15774
Опубликована: Ноя. 9, 2023
Despite
the
vast
potential
of
wind
energy,
it
has
yet
to
be
implemented
widely
in
Bangladesh.
Several
barriers
play
major
roles
obstructing
energy
sector’s
development
Hence,
is
necessary
identify
these
progress
this
growth.
The
analytic
hierarchy
process
(AHP)
a
multi-criteria
decision-making
method
that
can
rank
alternatives
by
considering
multiple
factors.
It
valuable
tool
for
complex
problems
with
criteria,
and
their
relationships
must
clarified.
So,
analysis,
AHP
used
related
First,
six
main
eighteen
sub-barriers
have
been
identified
from
detailed
comprehensive
literature
review.
are
categorized
into
technical,
administrative,
policy
political,
economic,
social,
geographic.
After
that,
questionnaire
was
sent
experts
obtain
opinions
on
barriers.
Based
found
weighted
score
0.46,
technical
were
most
significant
ones.
Administrative
ranked
second
0.21,
social
last
0.03.
Among
sub-barriers,
risks
associated
technology
significant,
while
land
use
conflict
least
significant.
Finally,
several
recommendations
provided
overcome
findings
study
help
policymakers
stakeholders
develop
strategies
Journal of Environmental Science and Health Part C,
Год журнала:
2023,
Номер
41(3-4), С. 77 - 120
Опубликована: Окт. 2, 2023
Climate
change
and
air
pollution
are
two
interconnected
global
challenges
that
have
profound
impacts
on
human
health.
In
Africa,
a
continent
known
for
its
rich
biodiversity
diverse
ecosystems,
the
adverse
effects
of
climate
particularly
concerning.
This
review
study
examines
implications
health
well-being
in
Africa.
It
explores
intersection
these
factors
their
impact
various
outcomes,
including
cardiovascular
disease,
respiratory
disorders,
mental
health,
vulnerable
populations
such
as
children
elderly.
The
highlights
disproportionate
groups
emphasizes
need
targeted
interventions
policies
to
protect
Furthermore,
it
discusses
role
exacerbating
potential
long-term
consequences
public
also
addresses
importance
considering
temperature
precipitation
changes
modifiers
pollution.
By
synthesizing
existing
research,
this
aims
shed
light
complex
relationships
highlight
key
findings,
knowledge
gaps,
solutions
mitigating
region.
insights
gained
from
can
inform
evidence-based
mitigate
promote
sustainable
development
PLoS ONE,
Год журнала:
2025,
Номер
20(1), С. e0317277 - e0317277
Опубликована: Янв. 17, 2025
This
work
explores
an
intelligent
field
irrigation
warning
system
based
on
the
Enhanced
Genetic
Algorithm—Backpropagation
Neural
Network
(EGA-BPNN)
model
in
context
of
smart
agriculture.
To
achieve
this,
flow
prediction
agricultural
fields
is
chosen
as
research
topic.
Firstly,
BPNN
principles
are
studied,
revealing
issues
such
sensitivity
to
initial
values,
susceptibility
local
optima,
and
sample
dependency.
address
these
problems,
a
genetic
algorithm
(GA)
adopted
for
optimizing
BPNN,
EGA-BPNN
used
predict
fields.
Secondly,
can
overcome
optimization
overfitting
problems
traditional
through
global
search
ability
GA.
Moreover,
it
suitable
task
with
complex
environmental
factors
Finally,
comparative
experiments
compare
accuracy
using
single
dual
water
level
models
respectively.
The
results
reveal
that
number
nodes
hidden
layer
increases,
model’s
Mean
Squared
Error
(MSE)
Relative
(RE)
show
decreasing
trend,
indicating
improvement
accuracy.
When
increases
from
6
16,
MSE
decreases
4.53×10
−4
3.68×10
2.38×10
1.66×10
,
Under
standalone
absolute
relative
error
1.09%.
In
contrast,
achieves
significantly
lower
mean
0.41%
single-flow
prediction,
demonstrating
superior
performance.
Furthermore,
compared
exhibits
2.11
reduction
MSE,
further
emphasizing
positive
impact
introducing
GA
outcomes
contribute
more
accurate
resource
planning
management,
providing
reliable
basis
decision-making.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 17, 2025
The
Embedded
operating
system
based
on
STC12C5A
MCU
is
designed
to
facilitate
real-time
monitoring
and
control
of
the
home
environment,
in
order
solve
some
problems
such
as
low
acquisition
frequency,
poor
performance,
lack
feedback
adaptation.
Kalman
filter
improved
k-means
algorithm
are
used
analyze
big
data
which
processed
by
BP
neural
network,
then
most
comfortable
living
environment
parameters
can
be
obtained.
independent
mechanism
adjustment
achieve
efficient
collaboration
stable
operation
hardware
software.
test
results
show
that
has
high
accuracy,
fast
response
speed,
good
reliability
well
adaptive
capabilities.
