International Journal of Advanced Computer Science and Applications,
Год журнала:
2024,
Номер
15(5)
Опубликована: Янв. 1, 2024
Population
growth
and
urbanization
demand
innovative
strategies
for
sustainable
city
management.
This
paper
focuses
on
the
integration
of
Internet
Things
(IoT)
image
processing
technologies
environmental
monitoring
in
urban
development.
The
IoT
forms
an
integral
part
Information
Communication
Technology
(ICT)
infrastructure
smart
cities.
It
offers
a
new
model
design,
due
to
ability
offer
environmentally
alternatives.
Furthermore,
is
method
employed
computer
vision
that
provides
reliable
approaches
extracting
significant
data
from
images.
convergence
these
has
capacity
enhance
effectiveness
durability
our
surroundings.
discusses
current
state-of-the-art
both
processing,
highlighting
their
individual
applications,
architectures,
challenges.
explores
aforementioned
harmonized
system
promote
synergies
complementarities.
Several
case
studies
demonstrate
successful
adoption
approach
contexts,
focusing
monitoring,
energy
management,
transportation,
social
well-being.
combination
with
raises
concerns
regarding
privacy,
standardization,
scalability.
study
provided
direction
future
research
suggested
more
participant
multiple-strategy
could
be
beneficial
address
some
existing
limitations
move
toward
context.
should
therefore
viewed
as
compass
or
roadmap
areas
processing-based
towards
todays
environments.
Desalination and Water Treatment,
Год журнала:
2024,
Номер
319, С. 100530 - 100530
Опубликована: Июнь 12, 2024
This
study
investigated
the
electrocoagulation
(EC)
treatment
of
tannery
wastewater
using
plane
and
punched
aluminum
iron
electrodes
at
optimum
condition
pH
9,
voltage
20
V,
electrode
distance
1
cm
90
min
electrolysis
duration.
The
efficiency
EC
process
was
determined
by
evaluating
levels
biochemical
oxygen
demand
(BOD),
chemical
(COD),
Chromium
(Cr)
in
treated
effluents.
experiment
utilized
both
linear
regression
Artificial
Neural
Network
(ANN)
models
for
modeling,
with
ANN
model
validating
predicted
from
experimental
design
95
%
confidence.
use
resulted
an
removal
BOD
(89.66
%),
COD
(96.21
Cr
(96.05
TDS
(95.77
%).
On
other
hand,
achieved
a
90.86
98.62
96.94
(Cr),
96.92
(TDS).
Similarly,
when
electrodes,
BOD,
COD,
87.57
%,
94.77
93.42
93.08
respectively,
while
removed
89.01
96.59
94.66
TDS.
results
demonstrate
that
proposed
effectively
predicts
effluent
TDS,
addressing
economic
environmental
sustainability
concerns.
Societies,
Год журнала:
2024,
Номер
14(8), С. 139 - 139
Опубликована: Авг. 1, 2024
Urban
crime
prevention
remains
a
critical
challenge
intertwined
with
socioeconomic
disparities.
This
study
investigates
the
spatial
nexus
between
urban
deprivation
and
decline
in
Chicago
from
2015
to
2022,
addressing
question:
How
do
changes
neighborhood
relate
reduction
patterns?
Using
comprehensive
incident
census
tract
Area
Deprivation
Index
(ADI)
data,
this
conducted
exploratory
analysis,
regression
modeling,
local
bivariate
relationship
analysis.
The
findings
reveal
persistent
hotspots
of
concentrated
on
Chicago’s
south
west
sides,
alongside
general
citywide
decline.
However,
current
research
uncovered
significant
heterogeneity
both
patterns
reduction,
challenging
achievement
equitable
public
safety
outcomes.
Surprisingly,
while
incidents
2022
significantly
predicted
change,
ADI
scores
were
not
statistically
predictors
our
model.
Local
analysis
exposed
diverse
relationships
rate
across
neighborhoods,
72.2%
tracts
showing
no
relationship.
underscores
complexity
dynamics
importance
context
understanding
these
patterns.
Our
contributes
nuanced
intricate
patterns,
providing
valuable
insights
for
policymakers,
law
enforcement
agencies,
planners.
These
highlight
need
integrated,
long-term
strategies
that
address
disparities,
ultimately
fostering
safer,
more
environments
informing
evidence-based
interventions
tailored
specific
contexts.
International Journal of Geographical Information Science,
Год журнала:
2024,
Номер
38(12), С. 2514 - 2544
Опубликована: Авг. 27, 2024
Street
view
imagery
(SVI),
an
emerging
geospatial
dataset,
is
useful
for
evaluating
active
transportation
infrastructure,
but
it
faces
potential
biases
from
its
vehicle-based
capture
method,
diverging
pedestrians'
and
cyclists'
perspectives.
Existing
literature
lacks
both
examination
of
these
a
solution.
This
study
identifies
quantifies
by
comparing
conventional
SVI
with
views
the
road
shoulder/sidewalk.
To
mitigate
such
perspective
biases,
we
introduce
novel
framework
generative
adversarial
network
(GAN)-based
image
generation
models
(Pix2Pix
CycleGAN),
regression
model
(ResNet-50),
tabular
(LightGBM).
Experiments
assessed
effectiveness
in
translating
car-centric
to
those
pedestrian
cyclist
Results
show
significant
differences
semantic
indicators
(e.g.
green
index)
between
center
shoulder/sidewalk
SVI,
low
Pearson's
correlation
coefficients
r
(0.35–0.55
shoulders
0.45–0.47
sidewalks)
indicating
bias.
The
succeeded
creating
realistic
images
aligning
pixel
ratios
perspectives,
achieving
strong
(0.81
0.83
sidewalks),
thus
reducing
work
contributes
providing
scalable
model-agnostic
approach
produce
accurate
SVIs
urban
planning
sustainability,
setting
foundation
improving
bikeability
walkability
assessments
promoting
transportation.
Water,
Год журнала:
2025,
Номер
17(8), С. 1205 - 1205
Опубликована: Апрель 17, 2025
Climate-induced
hydrological
risks
and
deteriorating
infrastructure
present
major
challenges
for
small
river
basins
in
border
regions,
particularly
non-EU
countries
with
limited
institutional
capacity
funding.
These
issues
are
especially
acute
post-socialist
contexts,
where
outdated
hydrotechnical
systems
no
longer
meet
current
environmental
safety
standards.
This
study
investigates
the
vulnerabilities
of
Uzh
River
basin
Uzhhorod,
Ukraine—a
city
strong
ecological
ties
to
neighboring
EU
regions—and
proposes
an
adaptive
management
model
tailored
such
environments.
An
integrated
assessment
flood
protection
systems,
sediment
transport,
drainage
performance,
governance
gaps
was
conducted
inform
proposed
framework,
which
combines
structural
ecosystem-based
interventions
a
focus
on
transboundary
water
governance.
Unlike
many
existing
approaches
that
lack
mechanisms
localized
implementation
cross-border
coordination,
this
offers
transferable,
evidence-based
methodology
enhancing
resilience
sustainability
similar
urban
areas.
The
insights
relevant
cities
across
Eastern
Europe,
Western
Balkans,
South
Caucasus,
contributing
both
engineering
practice
regional
policy
by
aligning
solutions
cooperative
climate
adaptation
strategies.
International Journal of Intelligent Networks,
Год журнала:
2024,
Номер
5, С. 267 - 274
Опубликована: Янв. 1, 2024
Machine
learning
models
are
the
backbone
of
smart
grid
optimization,
but
their
effectiveness
hinges
on
access
to
vast
amounts
training
data.
However,
grids
face
critical
communication
bottlenecks
due
ever-increasing
volume
data
from
distributed
sensors.
This
paper
introduces
a
novel
approach
leveraging
Generative
Artificial
Intelligence
(GenAI),
specifically
type
pre-trained
Foundadtion
Model
(FM)
architecture
suitable
for
time
series
its
efficiency
and
privacy-preserving
properties.
These
GenAI
agents,
or
holders,
empowering
them
fine-tune
foundation
model
with
local
datasets.
By
fine-tuning
model,
updated
can
produce
synthetic
that
mirrors
real-world
conditions.
The
server
aggregates
fine-tuned
all
agents
then
generates
which
considers
collected
in
grid.
be
used
train
global
machine
specific
tasks
like
anomaly
detection
energy
optimization.
Then,
trained
task
leverage
them.
highlights
advantages
communication,
including
reduced
burden,
enhanced
privacy
through
anonymized
transmission,
improved
scalability.
enabling
intelligent
architecture,
way
more
secure,
efficient,
sustainable
future.
Sustainability,
Год журнала:
2024,
Номер
16(15), С. 6579 - 6579
Опубликована: Авг. 1, 2024
Buildings
play
a
significant
role
in
the
rise
of
energy
consumption
and
carbon
emissions.
Building
operations
are
responsible
for
28%
world’s
It
is
crucial,
therefore,
to
evaluate
environmental
impact
various
buildings’
operational
phase
order
implement
sustainable
strategies
mitigation
their
usage
associated
footprint.
While
numerous
studies
have
been
conducted
determine
footprint
conventional
building
operation
phases,
there
still
lack
actual
data
on
(OC)
emissions
mass
timber
buildings.
There
also
research
pertaining
buildings
within
larger
campuses
inherent
usage.
This
study,
aims
quantify
empirical
building,
using,
as
case
recent
Adohi
Hall
situated
at
University
Arkansas,
Fayetteville.
The
study
examine
identify
best
use
scenarios
campus
under
consideration.
team
obtained
Hall’s
consumption,
fuel
input
usage,
other
utilities
(such
water,
electricity,
chilled
natural
gas)
accounting
from
2021
2023,
span
three
years.
Arkansas
Facilities
Management
(FAMA)
provided
data.
relies
life
cycle
assessment
(LCA)
its
primary
approach,
with
SimaPro
9,
Ecoinvent
v3.7
database,
DataSmart,
version
2023.1
U.S.
Life
Cycle
Inventory
(USLCI)
database
utilized
model
water
during
(B6
&
B7).
results
indicate
4496
kg
CO2
eq
per
square
meter
over
50-year
lifespan.
examines
sources
leading
provides
insights
into
reduction
Among
them,
electricity
based
cleaner
source
diversification,
according
realistic
expectations
technological
advancements
projections,
17%
OC.
Due
combined
heat
power
(CHP)
plant
complementary
heating
Hall,
resulting
emission
approximately
21%
(20.73%)
less
when
compared
similar
same
city
but
outside
campus.
reveals
that
CHP
development
highly
effective
strategy
OC
reduction.
