Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 257 - 284
Published: Dec. 13, 2024
This
chapter
provides
an
in-depth
study
at
the
latest
developments
in
deep
reinforcement
learning
(DRL)
as
applied
to
drones
and
unmanned
aerial
vehicles
(UAVs),
with
a
focus
on
safety
standards
overcoming
challenges
like
object
detection
cybersecurity.
Real-world
instances
across
sectors
demonstrate
how
DRL
significantly
improves
efficiency
adaptability
autonomous
systems.
By
contrasting
various
techniques,
highlights
their
effectiveness
potential
advance
drone
UAV
capabilities.
The
practical
implications
advantages
of
applications
are
emphasized,
showcasing
transformative
influence
industries.
Moreover,
explores
future
research
paths
stimulate
innovation
enhance
self-piloting
vehicle
technology.
In
essence,
it
thorough
overview
DRL's
role
operations,
underscoring
importance
standards,
capacity
boost
systems,
its
contribution
evolving
technology
landscape.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 197 - 220
Published: Feb. 28, 2025
The
rapid
advancement
of
Artificial
Intelligence
(AI)
has
transformed
social
interaction,
reshaping
communication,
relationship-building,
and
community
engagement.
This
chapter
examines
AI's
multifaceted
impact
on
human
dynamics,
highlighting
both
the
benefits
challenges
posed
by
AI
technologies
in
modern
communication
tools,
media,
online
platforms.
While
AI-driven
algorithms
automated
responses
personalize
interactions,
they
also
raise
concerns
about
authenticity
emotional
connection,
making
relationships
paradoxically
impersonal.
explores
how
enhances
efficiency
through
real-time
translation
AI-assisted
moderation,
while
addressing
ethical
dilemmas
related
to
echo
chambers,
behavior
influence,
algorithmic
bias.
By
providing
a
balanced
perspective
role
contexts,
advocates
for
responsible
development
emphasizes
need
maintain
standards
safeguard
human-centered
values
an
world.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 24
Published: Feb. 14, 2025
Phishing
remains
a
significant
cybersecurity
threat,
targeting
individuals
and
organizations
to
access
confidential
data.
As
techniques
evolve,
innovative
protective
measures
are
essential.
This
paper
offers
detailed
overview
of
phishing
defense
strategies,
focusing
on
both
technological
solutions
human-centered
approaches.
Multi-layered
defenses,
blending
traditional
security
with
user
education,
vital
for
mitigating
risks.
Simulated
exercises
ongoing
training
empower
employees
recognize
respond
threats,
strengthening
the
human
aspect
cybersecurity.
Leadership
commitment
open
communication
crucial
cultivating
strong
culture,
encouraging
staff
report
suspicious
activities.
Continuous
evaluation
updates
defenses
necessary
adapt
evolving
threats.
Real-world
case
studies,
such
as
2020
Twitter
breach
SolarWinds
attack,
highlight
severe
impacts
phishing,
reinforcing
need
proactive
that
combines
technology,
risk
management
protect
digital
assets
effectively.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 111 - 138
Published: Feb. 28, 2025
This
chapter
examines
the
essential
components
of
virtual
economies
in
metaverse
and
their
transformative
effects
on
user
interactions,
community
development,
economic
engagements.
It
explores
various
economies,
from
MMOs
like
*World
Warcraft*
to
platforms
*Second
Life*
blockchain-based
systems
such
as
*Axie
Infinity*.
Key
elements
analyzed
include
digital
assets,
currencies,
trading
venues,
labor,
supply
demand,
governance
frameworks.
The
discusses
how
traditional
theories
are
applied
spaces,
fostering
ecosystems
that
reflect
enhance
real-world
economies.
Social
structures,
guilds,
social
capital,
cooperative
highlighted
for
role
building.
these
centralized
DAOs,
is
evaluated
its
impact
stability
engagement.
also
consequences,
including
job
creation,
innovation,
ethical
concerns,
providing
valuable
insights
developers,
policymakers,
researchers.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 135 - 156
Published: Feb. 28, 2025
This
chapter
explores
the
role
of
artificial
intelligence
(AI)
in
enhancing
cyber
defense
strategies
for
space
systems.
As
technology
evolves,
increasing
reliance
on
interconnected
satellite
networks,
communication
systems,
and
space-based
infrastructure
presents
new
cybersecurity
challenges.
AI
offers
advanced
capabilities
threat
detection,
real-time
monitoring,
anomaly
automated
response,
making
it
a
critical
tool
safeguarding
assets.
The
examines
AI-driven
solutions
protecting
satellites,
ground
control
stations,
data
transmission
channels
from
cyberattacks.
Additionally,
addresses
challenges
limitations
this
context,
including
privacy,
reliability,
potential
adversarial
use
AI.
By
evaluating
current
applications
future
possibilities,
study
highlights
how
can
revolutionize
cybersecurity,
ensuring
resilience
security
missions
assets
an
increasingly
contested
complex
digital
landscape.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 285 - 304
Published: Dec. 13, 2024
The
integration
of
multi-modal
sensor
fusion
with
CRNNs
in
agile
industrial
drones
addresses
the
need
for
improved
object
detection
and
SLAM
capabilities.
This
technology
enhances
drone's
ability
to
navigate
map
complex
environments
greater
accuracy
reliability.
It
is
crucial
tasks
such
as
inspection,
monitoring,
autonomous
navigation
dynamic
challenging
settings.
By
integrating
visual,
LiDAR,
inertial
measurement
unit
(IMU)
information,
approach
situational
awareness,
facilitating
safer
intelligent
interaction
amidst
conditions.
IMU,
optical
sensors
provides
awareness
environment,
enabling
drone
adjust
changing
circumstances
instantly.
suggested
method
meets
needs
applications,
which
demand
dependable
durable
solutions.
achieves
this
by
offering
precision,
dependability,
flexibility
that
eventually
expands
potential
a
variety
operational
contexts.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 257 - 284
Published: Dec. 13, 2024
This
chapter
provides
an
in-depth
study
at
the
latest
developments
in
deep
reinforcement
learning
(DRL)
as
applied
to
drones
and
unmanned
aerial
vehicles
(UAVs),
with
a
focus
on
safety
standards
overcoming
challenges
like
object
detection
cybersecurity.
Real-world
instances
across
sectors
demonstrate
how
DRL
significantly
improves
efficiency
adaptability
autonomous
systems.
By
contrasting
various
techniques,
highlights
their
effectiveness
potential
advance
drone
UAV
capabilities.
The
practical
implications
advantages
of
applications
are
emphasized,
showcasing
transformative
influence
industries.
Moreover,
explores
future
research
paths
stimulate
innovation
enhance
self-piloting
vehicle
technology.
In
essence,
it
thorough
overview
DRL's
role
operations,
underscoring
importance
standards,
capacity
boost
systems,
its
contribution
evolving
technology
landscape.
