Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 111 - 156
Published: Dec. 31, 2024
Advancement
in
technology
has
demonstrated
a
shift
application,
interpretability,
and
technological
acceptance.
Quantum
Computing
Generative
Adversarial
Networks
(GANs)
represent
two
transformative
domains
with
immense
potential
for
innovation
disruption.
This
study
examines
the
rise
of
ethical,
privacy,
security
considerations
accompanying
these
technologies,
highlighting
their
importance
defining
core
emphasis
on
overlapping
data
problems
mitigation.
Starting
an
overview
quantum
computing
GANs,
outlines
principles
practical
applications,
elucidating
algorithms'
revolutionary
power
unique
challenges.
It
explores
how
generative
models
reshape
industries
while
examining
ethical
dilemmas
introduced
by
synthetic
content
generation.
Privacy
concerns
are
evaluated,
focusing
privacy-enhancing
technologies.
Security
challenges
scrutinized,
proposing
strategies
to
fortify
technologies
against
adversarial
threats.
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 30
Published: July 26, 2024
Economic
success,
social
equality,
and
environmental
protection
are
needed
to
change
global
standards
for
sustainable
development.
Understanding
executing
entrepreneurship
is
complicated,
as
this
chapter
shows.
Sustainable
service
versions
evaluated
globally
health.
Actual
prototypes
demonstrate
solutions
beyond
revenue
margins
a
big
standard
departure.
CSR
shows
entrepreneurship's
complicated
campaign
network.
It
examines
firm,
activities,
society's
motivations
effects
on
online
reputation
Phase
examined
industry-specific
issues
potential
improve
sustainability
across
industries.
The
impact
of
eco-friendly
technologies
IT
business
examined.
Ecological
responsibility
trends
organizational
change.
Knowledge
used
create
dependable,
flexible,
enterprise
plans
identify
improvement
opportunities.
The
Internet
of
Medical
Things
(IoMT)
has
transformed
healthcare
by
enabling
medical
devices
to
connect
and
exchange
information
through
the
Internet.
convergence
artificial
intelligence
(AI),
machine
learning
(ML),
IoMT
resulted
in
(AIoMT)
paradigm,
which
immense
potential
delivery.
This
chapter
provides
an
overview
how
AIoMT
is
transforming
industry
unlocking
full
IoMT.
It
also
reviews
cybersecurity
aspects
this
rapid
technological
advancement,
including
different
cyber-attacks
threats,
suggested
countermeasures,
future
directions.
revolutionized
integrating
AI
ML
with
IoMT,
providing
better
diagnosis,
treatment,
patient
care.
Through
advanced
data
analytics
automation,
enhance
prevention
diseases
as
well
improve
outcomes
reduce
costs.
For
reach
its
potential,
it
crucial
collaborate
coordinate
between
providers,
scientists,
technology
experts.
not
just
a
catchphrase
but
game-changer
industry.
Lastly,
ensure
safety
security
patients'
data,
necessary
address
cyber-related
challenges
associated
AIoMT.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 78 - 106
Published: May 6, 2024
The
main
goal
is
to
appropriately
utilize
advanced
algorithms
analyze
environmental
data,
improve
early
disease
detection
and
intervention
tactics,
reduce
the
harmful
effects
of
forest
fires
on
human
beings.
Analyze
challenges
faced
by
traditional
methods
in
addressing
constantly
evolving
nature
wildfires
need
for
more
adaptable
proactive
approaches,
highlight
advantages
AI.
Discusses
constituents
incorporated
into
AI
model,
comprising
meteorological
satellite
imagery,
historical
fire
records.
It
analyzes
selection
specifically
tailored
prevention,
considering
parameters.
during
creation
implementation
models
prevention
viability
integrating
artificial
intelligence
existing
management
infrastructure
emergency
response
systems.
showcases
current
research,
progress,
use
AI-driven
solutions
address
posed
provides
a
concise
overview
chapter's
findings.
Advances in medical technologies and clinical practice book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 42 - 69
Published: June 7, 2024
The
integration
of
artificial
intelligence
(AI),
the
internet
things
(IoT),
with
medical
devices
avails
recent
development
in
sector,
specifically
digital
health,
referred
to
as
(IoMT).
AIoMT
combines
technologies
like
body
movement
detection,
sleep
monitoring,
and
rehab
assessment,
simplifying
healthcare
offering
personalized
experiences.
By
leveraging
AI,
big
data,
mobile
internet,
cloud
computing,
microelectronics,
patient
data
is
efficiently
processed,
enhancing
healthcare's
efficiency
personalization.
During
pandemic,
AI
applications
saved
lives
by
streamlining
analysis.
This
chapter
explores
wearable
electronics
sensor
architecture
addresses
challenges
security,
aiming
elevate
standards.
It
also
outlines
future
research
opportunities
AIoMT.
Advances in healthcare information systems and administration book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 31 - 58
Published: Jan. 17, 2025
Generative
Artificial
Intelligence
(AI)
is
reshaping
the
Internet
of
Medical
Things
(IoMT),
driving
innovations
in
healthcare
diagnostics,
personalized
treatment,
and
patient
monitoring.
This
integration
promises
to
enhance
medical
decision-making,
optimize
resource
allocation,
improve
outcomes.
However,
despite
technological
advancements,
challenges
persist,
including
data
privacy
concerns,
regulatory
hurdles,
need
for
robust
ethical
frameworks.
The
progress
evident
AI-driven
tools,
such
as
predictive
analytics
virtual
health
assistants,
yet
their
widespread
adoption
hindered
by
interoperability
issues
uneven
infrastructure.
As
generative
AI
continues
evolve,
addressing
these
barriers
crucial
realizing
its
full
potential
transforming
IoMT
landscape,
ensuring
that
advancements
translate
into
sustainable
equitable
progress.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 287 - 316
Published: Feb. 21, 2025
As
counselor
practices
and
the
counseling
profession
continue
to
evolve
change,
digital
offered
on
platforms
makes
traditional
educational
mental
health
services
more
accessible
than
they
have
ever
been.
Therapy
sessions
increasingly
are
virtual
or
conducted
through
direct
messaging
chatbots,
rather
a
1-to-1
(face-to-face)
model.
Virtual
therapy
has
grown
significantly
over
past
several
years,
with
very
few
of
those
clients
seeing
an
actual
person,
counselor,
therapist.
However,
online
is
not
better
greater
face-to-face
for
everyone.
For
many,
remote
technology
adds
therapeutic
conversation,
but
it
difficult
provide
privacy,
confidentiality,
emotional
tactile
presence,
possibly
erosion
relationships
between
client
continually
evolving
field,
essential
current
future
therapist
practitioners
stay
up
date
ethical
legal
standards
pertaining
counseling.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 275 - 304
Published: April 24, 2025
This
chapter
explores
the
ethical,
legal,
and
societal
risks
of
Artifificial
Intelligence
(AI)
Metaverse
in
scientific
research
publishing.
While
AI
aids
data
analysis
peer
review,
it
perpetuating
biases
that
could
distort
findings
compromise
integrity.
The
Metaverse,
as
a
new
digital
space
for
academic
engagement,
introduces
challenges
like
privacy,
intellectual
property
concerns,
opportunities
fraud.
Furthermore,
algorithmic
publishing
amplify
visibility
disparities,
creating
divide.
To
address
these
issues,
this
advocates
robust
governance,
ethical
guidelines,
collaborative
frameworks
to
ensure
fairness,
integrity,
trust
evolving
landscape.
It
is
imperative
know
dangrous
more
than
what
we
can
stress
terms
its
abilities,
applications
services,
human
race
playing
on
self
destraction
trigger
beyond
horizons.
