Advances in wireless technologies and telecommunication book series,
Год журнала:
2024,
Номер
unknown, С. 230 - 250
Опубликована: Июнь 28, 2024
The
chapter
explores
the
use
of
machine
learning
(ML)
in
detecting
and
addressing
anomalies
advanced
6G
communication
systems.
It
emphasizes
drawbacks
conventional
approaches
delves
into
ML
algorithms
that
are
appropriate
for
identifying
anomalies,
such
as
clustering,
classification,
deep
learning.
study
focuses
on
difficulties
choosing
important
features
from
various
data
sources
networks,
including
network
traffic
device
behavior.
also
possible
attacks
models
suggests
ways
to
improve
their
resilience.
Exploring
integration
with
slicing
highlighting
adaptability
dynamic
virtualized
networks.
highlights
importance
ML-based
anomaly
detection
strengthening
security
areas
future
research.
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.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 511 - 572
Опубликована: Апрель 4, 2025
The
commoditization
of
computing
resources,
known
as
Compute
a
Commodity
(CaaC),
is
driving
significant
shift
in
cloud
computing.
This
chapter
explores
CaaC's
evolution,
from
traditional
models
to
highly
flexible,
scalable,
and
cost-efficient
approach
computational
power.
By
examining
key
principles,
benefits,
challenges,
strategic
implications,
this
provides
detailed
analysis
how
organizations
can
leverage
on-demand
compute
resources
for
operational
efficiency
innovation.
also
covers
the
future
trends
CaaC,
including
edge
computing,
artificial
intelligence,
quantum
highlighting
these
advancements
are
shaping
business
landscape.
Through
real-world
case
studies
technical
insights,
work
equips
professionals
researchers
with
solid
understanding
adopt
optimize
CaaC
sustained
growth.
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 196 - 208
Опубликована: Янв. 29, 2024
The
COVID-19
pandemic
has
imposed
several
challenges
to
mankind,
among
them
one
being
biometric,
for
attendance
of
working
community
and
the
related
demand
supply
chain
biometric
companies,
developers,
investors
customers.
Due
many
medical
constraints,
people
are
now
reluctant
use
contact-based
systems.
With
increase
in
personal
social
hygiene
avoid
transmission
pathogens
via
contact,
try
usage
fingerprint,
facial-,
voice-based
biometrics.
Further,
if
system
is
not
active
then
multiple
times
access
contacts
may
be
necessary.
This
aspect
restricted
avoidance
future
situations.
Advances in wireless technologies and telecommunication book series,
Год журнала:
2024,
Номер
unknown, С. 212 - 229
Опубликована: Июнь 28, 2024
This
chapter
describes
the
different
newly
adopted
6G
technologies,
along
with
any
security
risks
and
potential
fixes.
The
primary
technologies
that
will
open
up
a
whole
new
universe
of
possibilities
are
AI/ML,
DLT,
quantum
computing,
VLC,
THz
communication.
emergence
generation
information
communication
including
blockchain
technology,
virtual
reality/augmented
reality/extended
reality,
internet
things,
artificial
intelligence,
gave
rise
to
network.
intelligence
process
development,
which
includes
holographic,
pervasive,
deep,
intelligent
connectivity,
is
significantly
impacted
by
development
6G.
Many
studies
have
revealed
that
students'
performance
in
school,
is
affected
by
symptoms
of
depression,
anxiety,
and
stress,
which
may
impair
their
academic
achievement,
lead
to
school
dropout.
However,
date,
no
evaluated
these
three
disorders
among
high
students
Africa.
Therefore,
this
study,
we
aimed
assess
the
prevalence
associated
factors
Northwest
Ethiopia.An
institution-based
cross-sectional
study
was
conducted.
A
simple
random
sampling
technique
used
select
849
participants
from
six
schools
Ethiopia.
self-administered
Depression,
Anxiety,
Stress
Scale
(DASS-21)
questionnaire
collect
data.
Data
were
analyzed
using
SPSS
Version
25.0
software
identify
with
DAS,
bi-variable
multi-variable
analyses
performed.The
stress
41.4,
66.7,
52.2%
respectively.
Being
female
(AOR
=
1.304,
95%
CI
1.006-1.849),
higher
risky
khat
chewers
5.595,
2.357-11.132),
having
social
phobia
1.416,
1.045-1.919)
depression.
cigarette
smokers
4.777,
1.407-7304),
a
history
chronic
medical
illness
2.099,
1.045-4.218),
family
mental
1.777,
1.028-3.073)
anxiety.
high-risk
alcohol
drinkers
1.828,
1.012-3.303),
rural
residency
1.395,
95%CI
1.010-1.925),
low
support
1.7391,
1.203-2.515).The
burden
DAS
found
be
high.
Female
sex,
chewing
khat,
are
Conversely,
smoking
cigarettes,
illness,
all
linked
highly
alcoholic
drinker,
poor
support,
being
resident
positively
stress.
extending
health
services
schools,
strengthening
existing
counseling
services,
recommended.
