Iraqi Journal of Science,
Год журнала:
2024,
Номер
unknown, С. 1707 - 1724
Опубликована: Март 29, 2024
This
article
suggests
designing
an
intelligent
system
to
rehabilitate
criminals
in
smart
cities,
which
consists
of
two
categories:
the
first
category
a
“smart
social
system,"
managing
behaviors
(good
or
bad)
individuals
as
root
crime
committing.
To
manage
any
criminal
behavior,
we
proposed
electronic
recording
behavior
step,
then
submitting
with
its
under
rehabilitation
theories
second
step
examine
enhancement.
depends
on
prize-and-penalty
principle.
The
penalty
this
is
suspended
sentence
community
services
and
fines
instead
prison
punishment.
constructing
techniques
by
automating
system”
part
police
organization
city.
methodology
working
training
submit
that
should
be
going
standard
cases
process
within
specific
period.
suggested
three
categories
into
prisoner
may
fall;
he
might
fall
"very
bad
people,"
where
needs
go
due
his
worst
actions.
Second,
good
person"
category,
so
punishment
now
over
free
can
released
because
has
enhanced
behavior.
whereas
third
gradual
person
whose
actions
lie
between
these
characteristics;
for
scenario,
our
improve
A
uniform
crossover
genetic
algorithm
been
implemented
check
performance
system.
Thus,
could
very
useful
improving
crime-preventing
systems
population
cities.
International Journal of Environmental Research and Public Health,
Год журнала:
2022,
Номер
19(18), С. 11416 - 11416
Опубликована: Сен. 10, 2022
Urban
crimes
are
a
severe
threat
to
livable
and
sustainable
urban
environments.
Many
studies
have
investigated
the
patterns,
causes,
strategies
for
curbing
occurrence
of
crimes.
It
is
found
that
neighborhood
socioeconomic
status,
physical
environment,
ethnic
composition
all
might
play
role
in
Inspired
by
recent
interest
exploring
crime
patterns
with
spatial
data
analysis
techniques
development
Bayesian
hierarchical
analytical
approaches,
we
attempt
explore
inherently
intricate
relationships
between
assaultive
violent
Paterson,
NJ,
using
census
American
Community
Survey,
alcohol
tobacco
sales
outlet
data,
abandoned
property
listing
from
2013.
Analyses
set
at
block
group
level.
obtained
Paterson
Police
Department.
Instead
examining
global
level
both
non-spatial
analyses,
examine
depth
potential
locally
varying
local
through
spatially
coefficient
model.
At
levels,
it
median
household
income
decisively
negatively
related
occurrence.
Percentage
African
Americans
Hispanics,
number
outlets,
properties
positively
analysis,
however,
different
factors
influence
on
throughout
city
having
broadest
across
city.
The
practice
applying
framework
understand
characteristics
enables
planners,
stakeholders,
public
safety
officials
engage
more
active
targeted
crime-reduction
strategies.
Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia,
Год журнала:
2022,
Номер
unknown
Опубликована: Янв. 1, 2022
Romance
awakens
fond
memories
of
the
city.Finding
out
relationship
between
romantic
scene
and
urban
morphology,
providing
a
prediction,
can
potentially
facilitate
better
design
life.Taking
Yangtze
River
Delta
region
China
as
an
example,
this
study
aims
to
predict
distribution
locations
using
deep
learning
based
on
multi-source
data.Specifically,
we
use
web
crawlers
extract
romance-related
messages
geographic
from
social
media
platforms,
visualize
them
romance
heatmap.The
environment
building
features
associated
with
information
are
identified
by
Pearson
correlation
analysis
annotated
in
city
map.Then,
both
labelled
maps
heatmaps
fed
into
Generative
Adversarial
Networks
(GAN)
training
dataset
achieve
final
predictions
across
regions
for
other
cities.The
ideal
prediction
results
highlight
ability
techniques
quantify
experience-based
decision-making
strategies
that
be
used
further
research
design.
Journal of Advanced Research in Applied Sciences and Engineering Technology,
Год журнала:
2024,
Номер
42(1), С. 130 - 143
Опубликована: Март 26, 2024
Crime
is
a
significant
problem
in
society,
and
crime
prevention
crucial.
Factors
such
as
politics,
economics,
culture,
education,
demographics,
employment
have
been
identified
contributing
to
crime.
Recent
studies
also
explored
the
relationship
between
weather
Therefore,
this
research
aims
identify
best-performing
machine
learning
algorithm
based
on
Malaysia,
using
data
from
Royal
Malaysia
Police
Meteorological
Department
2011
2020.
Five
algorithms
were
utilized,
results
showed
that
all
had
good
prediction
accuracy,
with
Gradient
Boosted
Trees
performing
best,
an
error
rate
of
less
than
23%.
Location
was
found
be
most
important
feature
models.
This
study
provides
valuable
fundamental
framework
for
environmental
social
impact
scholars
conduct
more
in-depth
analysis
establishes
models,
thereby
better
understanding
complex
crime,
aiding
development
effective
strategies.
Iraqi Journal of Science,
Год журнала:
2024,
Номер
unknown, С. 1707 - 1724
Опубликована: Март 29, 2024
This
article
suggests
designing
an
intelligent
system
to
rehabilitate
criminals
in
smart
cities,
which
consists
of
two
categories:
the
first
category
a
“smart
social
system,"
managing
behaviors
(good
or
bad)
individuals
as
root
crime
committing.
To
manage
any
criminal
behavior,
we
proposed
electronic
recording
behavior
step,
then
submitting
with
its
under
rehabilitation
theories
second
step
examine
enhancement.
depends
on
prize-and-penalty
principle.
The
penalty
this
is
suspended
sentence
community
services
and
fines
instead
prison
punishment.
constructing
techniques
by
automating
system”
part
police
organization
city.
methodology
working
training
submit
that
should
be
going
standard
cases
process
within
specific
period.
suggested
three
categories
into
prisoner
may
fall;
he
might
fall
"very
bad
people,"
where
needs
go
due
his
worst
actions.
Second,
good
person"
category,
so
punishment
now
over
free
can
released
because
has
enhanced
behavior.
whereas
third
gradual
person
whose
actions
lie
between
these
characteristics;
for
scenario,
our
improve
A
uniform
crossover
genetic
algorithm
been
implemented
check
performance
system.
Thus,
could
very
useful
improving
crime-preventing
systems
population
cities.
