IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 271 - 290
Опубликована: Апрель 4, 2025
The
rapid
adoption
of
cloud
technologies
has
revolutionized
data
analytics
and
management,
giving
rise
to
serious
worries
about
intellectual
property
(IP)
protection.
intricacies
in
cloud-based
settings,
highlighting
how
crucial
it
is
protect
priceless
resources
like
proprietary
models,
ownership,
algorithms.
It
looks
at
the
legal
frameworks
that
control
rights,
such
as
regional
laws
international
treaties,
highlights
particular
dangers
related
computing,
unclear
ownership
illegal
access.
difficulties
safeguarding
environments,
security
flaws
theft
A
dual
approach
involving
technical
strategies
proposed
address
these
challenges.
To
establish
safeguard
measures
are
essential.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 153 - 168
Опубликована: Дек. 13, 2024
The
real-time
pool
operation
through
the
combination
of
Internet
Everything
(IoE)
and
Artificial
Intelligence
(AI).
purpose
this
study
is
to
evaluate
how
technologies,
which
connect
people,
processes,
data,
effects,
may
best
optimize
effectiveness
production
when
paired
with
predictive
logical
skills
artificial
intelligence
utilization
IoE
detectors
bias
allows
for
continuous
collection
analysis
provides
insight
into
hand
performance,
workload
allocation,
functional
backups.
systems
also
take
advantage
data
provide
decision
assistance,
enables
dynamic
work
allocation
envisions
solutions
problems.
Among
significant
advantages
that
are
brought
light
by
investigation
improved
resource
application,
increased
translucency,
enhanced
engagement.
practical
operations
problems
associated
integrated
approach
demonstrated
case
studies
coming
from
diligence.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 89 - 116
Опубликована: Дек. 13, 2024
The
Internet
of
Things
(IoT)
has
emerged
as
a
transformative
technology
paradigm,
interconnecting
vast
array
devices
and
enabling
unprecedented
levels
data
collection,
analysis,
automation.
This
study
explores
the
foundational
concepts,
applications,
implications
IoT
across
various
domains.
facilitates
real-time
monitoring
control,
enhancing
efficiency
productivity
in
sectors
such
healthcare,
agriculture,
manufacturing,
smart
cities.
By
integrating
sensors,
actuators,
connectivity
technologies,
enables
seamless
communication
between
systems,
facilitating
intelligent
decision-making
predictive
analytics.However,
rapid
proliferation
also
raises
significant
challenges,
including
privacy
concerns,
security
risks,
interoperability
issues.
Addressing
these
challenges
requires
robust
protocols,
standards,
regulatory
frameworks
to
ensure
reliable
secure
operation
ecosystems.Looking
ahead,
continues
evolve
with
advancements
edge
computing,
artificial
intelligence,
5G
.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 567 - 586
Опубликована: Дек. 13, 2024
Concrete
mix
design
is
a
critical
process
in
construction,
influencing
the
strength,
durability,
and
workability
of
concrete.
Traditional
methods
design,
such
as
empirical
analytical
approaches,
often
involve
trial-and-error
techniques
that
can
be
time-consuming
imprecise.
With
advancements
artificial
intelligence
(AI),
new
for
optimizing
concrete
mixes
have
emerged,
offering
enhanced
accuracy
efficiency.
This
paper
reviews
integration
AI
into
automated
with
specific
focus
on
role
computerized
grading
curves
aggregate
distribution.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 24
Опубликована: Дек. 13, 2024
Revolutionizing
industries
and
civilizations
alike,
data
analysis
artificial
intelligence
(AI)
have
emerged
as
transformative
forces
in
modern
technology.
Machine
learning
other
forms
of
allow
systems
to
gain
knowledge
from
data,
see
trends,
make
judgments
with
more
independence
precision.
To
enhance
AI's
decision-making
forecasting
capacities
across
a
wide
range
disciplines,
is
essential
for
mining
massive
datasets
actionable
insights.
Companies
can
improve
their
operations,
provide
better
customer
experiences,
come
up
new
goods
services
the
help
AI
analysis.
The
significance
ethically
deploying
highlighted
by
factors
like
privacy
bias
prevention.
Future
technologies,
such
healthcare
diagnostics,
autonomous
systems,
smart
cities,
are
expected
be
transformed
combination
Efforts
research,
development,
governance
must
coordinated
if
these
areas
realize
full
potential,
overcome
obstacles.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 8, 2025
Land
use
land
cover
change
due
to
urbanization
is
the
prime
driving
forces
environmental
problem
and
surface
temperature.
The
gap
of
study
lack
awareness
stakeholders
regarding
protection
native
forests,
fruit
trees,
BEBEKA
coffee
plantations.
Deforestation
for
urban
functions,
including
timber
production,
construction
materials,
firewood,
adversely
affects
environment.
aim
this
was
analyze
effect
on
Use
Cover
Change
(LULCC)
at
Mizan
Aman
city,
southwest
Ethiopia
from
1992
2022
using
geographic
information
systemand
remote
sensing
technique.
employed
systematic
sampling
household
surveys
high-resolution
techniques
identify
impact
temperature
change.
Sample
survey
focused
family
size,
education
level,
parcel,
year
house,
type
employment
monthly
income.
LULC
classification
were
based
eight
class
(settlement,
dense
forest,
moderate
sparse
closed
grassland,
open
shrub
land,
annual
crop
land).
Preprocessing,
images
accuracy
assessment
tested
separately
kappa
coefficient.
analysis
incorporates
factor
graph
optimization
ambiguity
resolution.
results
indicated
that
cumulative
81.52%,
82.96%,
85.41%
84.46%
coefficient
82.41%,
84.86%,
89.45%
88.76%%
1992,
2002,
2012
respectively.
This
research
showed
forest
significantly
decreased
by
68.96%,
24.60%,
31.36%
8.28%
respectively
in
last
30
years.
Urban
settlement
increased
alarming
rate
demand
housing,
infrastructure
manufacturing.
Therefore,
planners
must
prioritize
sustainable
management,
integrated
zoning,
active
community
involvement
order
protect
against
unsustainable
changes
cover.
For
future
research,
incorporating
methodologies
such
as
multi-source
imaging
will
help
differentiate
more
effectively.
City
experiences
a
nine-month
rainy
season
with
hot
climate,
cloud
can
affect
image
quality,
making
it
challenging
map
covers
clearly.
Utilizing
SENTINEL
data
enhance
resolution
improve
spatio-temporal
monitoring
frameworks.
Furthermore,
integrating
CO2
estimation
could
offer
deeper
insights
into
associated
urbanization.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 73 - 88
Опубликована: Дек. 13, 2024
Since
they
are
used
in
an
array
of
real-life
uses,
wireless
sensor
equipment
Internet
Things
(IoT)
systems
will
be
among
the
biggest
prolific
sources
big
data
on
connection.
The
huge
quantity
collected
from
sensing
increases
transmission
overhead,
reducing
short
lifespan
IoT
equipment.
As
a
result,
it
is
required
to
cleanse
and
reduce
sensed
information
order
cut
costs
conserve
power
A
Data
Reduction
Cleansing
Technique
(DRCT)
for
consumption
IoT-based
networks
(WSNs)
suggested
this
research.
This
method
depends
2
levels
cleansing
reduction:
aggregation.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 21 - 40
Опубликована: Апрель 4, 2025
Cloud
computing
has
revolutionized
public
administration
and
e-government,
emphasizing
how
it
can
improve
digital
governance.
The
evolution
of
e-government
reflects
a
significant
shift
towards
more
accessible,
efficient,
citizen-centric
services,
as
governments
increasingly
adopt
cloud
solutions.
Transformative
applications
like
smart
cities,
e-health
taxation
are
discussed
alongside
the
benefits
computing,
which
include
better
service
delivery,
process
automation,
resource
optimization.
solution
implementation
is
not
without
its
difficulties,
though,
especially
when
comes
to
data
governance,
legacy
systems,
trust.
Building
citizen
confidence
requires
addressing
problems
with
security,
integrating
outdated
IT
infrastructure,
guaranteeing
transparency.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 501 - 514
Опубликована: Май 1, 2025
The
automotive
sector
must
be
guaranteed
to
reduce
injuries
and
enhance
worker
wellbeing.
Based
on
historical
incident
data
real-time
sensor
data,
this
research
suggests
a
Random
Forest
classifier
with
Principal
Component
Analysis
for
feature
extraction
forecast
workplace
safety
hazards.
By
reducing
dimensionality,
PCA
increases
computational
efficiency
while
maintaining
important
safety-related
characteristics.
Because
of
its
resilience
in
managing
variety
characteristics,
such
as
tiredness
levels,
machine
performance,
environmental
factors,
the
was
selected.
To
anticipate
high-risk
areas
identify
possible
hazards,
model
is
trained
using
accident
statistics.
According
results,
AI-powered
strategy
improves
predictive
accuracy
helps
HR
put
proactive
measures
like
early
hazard
detection
efficient
shift
scheduling
into
place.
This
shows
how
learning
has
ability
completely
transform
human
resource
management
industry.
