Advances in public policy and administration (APPA) book series,
Год журнала:
2025,
Номер
unknown, С. 53 - 80
Опубликована: Янв. 24, 2025
The
chapter
examines
the
complex
ties
among
privacy,
surveillance,
and
public
safety
in
today's
world
of
AI-driven
governance.
will
further
examine
what
happens
when
a
data-driven
decision-making
process
works
without
transparency
Nigeria.
Historically,
those
authority
have
had
an
easier
time
keeping
power
is
hidden
from
citizens.
It
outline
compelling
strategies
for
mitigating
privacy
risks
that
come
with
using
AI
law
enforcement,
such
as
strong
democratic
oversight,
use
“data
minimized”
way,
design
systems
ensures
maximized.
concludes
by
arguing
these
strategies—and
informed,
equitable
future
they
make
possible—are
better
than
alternative:
society
governed
infringe
on
individual
rights
are
not
safe
or
secure.
Smart and Sustainable Built Environment,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 3, 2025
Purpose
As
cities
increasingly
embrace
smart
technologies
to
enhance
efficiency,
sustainability
and
quality
of
life,
integrating
cybersecurity
data
protection
measures
becomes
paramount.
This
paper
analyzes
practices
based
on
the
existing
strategies
projects
in
cities.
Design/methodology/approach
A
research
methodology
involving
searching
for
resources,
content
analysis
Delphi
method
was
developed
select
sample
cities,
identify
relevant
analyze
categorize
their
content,
validate
relevance
transform
them
into
a
list
recommendations.
Findings
The
findings
include
validated
39
recommendations
categorized
6
categories
implementing
robust
We
found
that
employ
various
address
protection,
including
technical
solutions,
organizational
practices,
policies
human
resources
initiatives.
economy
governance
components
are
prioritized
regarding
measures,
while
living
environments
receive
less
attention
than
others.
There
regional
differences
implementation
with
Asia
Europe
demonstrating
higher
levels
engagement.
Originality/value
provides
an
approach
different
contexts
gather
best
practices.
identified
contribute
building
sustainable
resilient
urban
governance.
International Journal of Innovation Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 27, 2025
Purpose
This
study
aims
to
examine
how
specific
regulatory
indicators
–
such
as
quality,
information
and
communications
technology
environment,
regulation
of
emerging
technologies,
e-commerce
legislation
privacy
protection
by
law
content
affect
the
economic
outcomes,
quality
life
sustainable
development
goals
associated
with
future
including
artificial
intelligence,
robotics,
big
data
analytics,
cloud
computing
app-
web-enabled
markets.
Design/methodology/approach
Using
Bayesian
Belief
Network
models
Readiness
Index
2023
from
134
countries,
this
explores
relationships
between
factors
various
socioeconomic
outcomes.
Findings
Regulatory
emerge
central
determinants,
directly
or
indirectly
impacting
development,
societal
well-being
sustainability
objectives.
Notably,
is
identified
a
pivotal
factor
across
all
emphasizing
critical
role
effective
frameworks
in
fostering
positive
Research
limitations/implications
The
relies
on
cross-sectional
data,
which
restricts
causal
inference,
focuses
national-level
potentially
overlooking
subnational
variations.
In
addition,
use
secondary
sources
introduces
possible
measurement
errors
biases.
Despite
these
constraints,
offers
valuable
insights
into
strategies
their
advancing
social
Originality/value
highlights
importance
tailoring
interventions
address
needs
challenges
faced
countries
at
different
stages
development.
findings
provide
for
policymakers,
authorities
stakeholders
seeking
navigate
opportunities
inherent
era
rapid
technological
advancement.
contributes
understanding
complex
interplay
regulation,
outcomes
contemporary
global
landscape.
Systems,
Год журнала:
2023,
Номер
11(9), С. 456 - 456
Опубликована: Сен. 2, 2023
The
growth
of
urban
areas
and
the
management
energy
resources
highlight
need
for
precise
short-term
load
forecasting
(STLF)
in
systems
to
improve
economic
gains
reduce
peak
usage.
Traditional
deep
learning
models
STLF
present
challenges
addressing
these
demands
efficiently
due
their
limitations
modeling
complex
temporal
dependencies
processing
large
amounts
data.
This
study
presents
a
groundbreaking
hybrid
model,
BiGTA-net,
which
integrates
bi-directional
gated
recurrent
unit
(Bi-GRU),
convolutional
network
(TCN),
an
attention
mechanism.
Designed
explicitly
day-ahead
24-point
multistep-ahead
building
electricity
consumption
forecasting,
BiGTA-net
undergoes
rigorous
testing
against
diverse
neural
networks
activation
functions.
Its
performance
is
marked
by
lowest
mean
absolute
percentage
error
(MAPE)
5.37
root
squared
(RMSE)
171.3
on
educational
dataset.
Furthermore,
it
exhibits
flexibility
competitive
accuracy
Appliances
Energy
Prediction
(AEP)
Compared
traditional
models,
reports
remarkable
average
improvement
approximately
36.9%
MAPE.
advancement
emphasizes
model’s
significant
contribution
accentuating
efficacy
proposed
approach
power
system
optimizations
smart
city
enhancements.
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 342 - 405
Опубликована: Янв. 19, 2024
The
advent
of
Industry
4.0,
characterized
by
the
integration
digital
technologies
into
industrial
processes,
has
ushered
in
a
transformative
era
for
manufacturing
and
beyond.
This
chapter
delves
future
trends
research
directions
that
will
shape
landscape
4.0
coming
years.
One
prominent
trend
is
continued
proliferation
internet
things
(IoT)
its
convergence
with
artificial
intelligence
(AI).
As
IoT
devices
become
more
interconnected
intelligent,
they
enable
real-time
data
analysis,
predictive
maintenance,
adaptive
manufacturing,
fostering
increased
efficiency
cost-effectiveness
across
industries.
Moreover,
rise
edge
computing
set
to
redefine
processing
analytics.
deployment
powerful
resources
closer
source
promises
reduced
latency
enhanced
decision-making
capabilities,
particularly
critical
applications
like
autonomous
remote
robotics.
International Journal on Semantic Web and Information Systems,
Год журнала:
2024,
Номер
20(1), С. 1 - 32
Опубликована: Янв. 12, 2024
This
study
aims
to
quantify
the
perception
of
value
and
acceptance
by
citizens
use
cyber-physical
systems
(CPS)
in
transportation
smart
cities
using
neurotechnologies.
The
work
has
been
developed
main
following
Latin
American
countries:
Spain,
Ecuador,
Colombia,
Argentina.
Targeting
urban,
public
transport-using
graduates,
it
assesses
CPS
user
experiences.
Triangulating
qualitative
research
neurotechnology,
extends
taxonomy
emotional
domains.
results
indicate
that
users
do
not
always
assign
equivalent
importance
what
they
truly
feel,
is
noteworthy
most
important
factor,
both
quantitatively
emotionally,
application
improve
efficiency
transportation.
implications
these
analyses
are
discussed
final
part
article
with
aim
providing
recommendations
policymakers
on
key
aspects
be
considered
design
development
for
cities.
