Advances in web technologies and engineering book series,
Год журнала:
2024,
Номер
unknown, С. 219 - 247
Опубликована: Май 16, 2024
This
chapter
delves
into
the
adoption
of
cloud
computing
in
small
and
medium-sized
enterprises
(SMEs)
mechanical
engineering,
highlighting
its
transformative
potential.
It
discusses
benefits
infrastructure,
such
as
improved
operational
efficiency
innovation,
but
also
addresses
security
privacy
challenges.
The
provides
strategies
to
mitigate
these
risks
emphasizes
importance
tailoring
solutions
meet
unique
needs
SMEs.
future
technology,
focusing
on
emerging
trends
innovations.
examines
regulatory
compliance
adherence
for
a
secure
compliant
integration
journey.
concludes
with
comprehensive
roadmap
SMEs
offering
practical
strategies,
lessons
learned,
forward-looking
perspective
ever-evolving
intersection
engineering.
Advances in computational intelligence and robotics book series,
Год журнала:
2023,
Номер
unknown, С. 374 - 399
Опубликована: Ноя. 27, 2023
Modern
agriculture
faces
numerous
challenges,
ranging
from
rising
global
food
demand
to
water
scarcity.
To
address
these
issues,
the
incorporation
of
intelligent
machines,
Internet
Things
(IoT),
and
artificial
intelligence
(AI)
in
agricultural
processing
has
become
critical.
This
chapter
investigates
technologies'
transformative
potential
for
optimizing
usage,
increasing
crop
yields,
ensuring
sustainable
practices.
It
delves
into
key
concepts
applications,
emphasizing
advantages
disadvantages
this
novel
approach.
Farmers
can
make
data-driven
decisions,
automate
irrigation
processes,
adapt
changing
environmental
conditions
by
leveraging
AI
IoT-enabled
systems,
ultimately
contributing
a
more
efficient
environmentally
friendly
sector.
Advances in marketing, customer relationship management, and e-services book series,
Год журнала:
2024,
Номер
unknown, С. 241 - 270
Опубликована: Март 1, 2024
The
advent
of
6G
technology
promises
revolutionary
advancements
in
connectivity,
offering
not
just
faster
speeds
but
a
paradigm
shift
consumer
experiences
across
electronic
industries.
This
chapter
delves
into
the
realm
leveraging
beyond
its
connectivity
prowess,
exploring
how
it
serves
as
catalyst
for
innovative
and
consumer-centric
business
strategies.
By
examining
potential
impact
on
various
sectors—such
augmented
reality,
healthcare,
autonomous
vehicles,
smart
cities—this
illuminates
transformative
power
6G.
Through
detailed
analysis
capabilities,
challenges,
integration
AI,
IoT,
edge
computing,
this
aims
to
provide
insights
harnessing
6G's
drive
new
wave
personalized
immersive
experiences,
redefining
landscape
engagement
industry.
Advances in medical technologies and clinical practice book series,
Год журнала:
2024,
Номер
unknown, С. 209 - 234
Опубликована: Апрель 5, 2024
The
healthcare
industry
is
undergoing
a
transformation
due
to
the
convergence
of
advanced
technologies.
This
chapter
explores
impact
5G
connectivity,
machine
learning,
and
social
media
integration
in
healthcare.
It
delves
into
evolution
telemedicine,
role
communication,
emergence
networks
learning.
also
discusses
foundations
technology,
its
implications
for
ethical
considerations
learning
techniques
highlights
potential
foster
professional
connections,
enable
collaboration,
educate
patients.
addresses
challenges
like
adoption
barriers,
dilemmas,
legal
considerations,
envisioning
future
where
these
technologies
integrate
efficient,
ethical,
patient-centric
Advances in electronic government, digital divide, and regional development book series,
Год журнала:
2024,
Номер
unknown, С. 15 - 45
Опубликована: Янв. 24, 2024
The
chapter
explores
the
integration
of
drones,
machine
learning,
and
artificial
intelligence
(AI)
in
smart
city
development.
Drones
can
revolutionize
urban
planning,
energy
efficiency,
noise
reduction,
environmental
monitoring,
traffic
management,
infrastructure
inspection,
public
safety,
data
security,
privacy
protection.
AI-driven
solutions
enable
data-driven
decision-making
for
resource
allocation,
sustainability,
predictive
modeling.
AI
optimizes
flight
paths
reduction
strategies
enhance
drone
social
acceptance,
autonomous
navigation
is
crucial
safe
deployment.
optimize
flow,
reduce
congestion,
safety.
provides
insights
into
patterns,
drones
aid
law
enforcement,
emergency
response,
first
responder
support.
Data
security
protection
measures
are
essential
maintaining
trust.
Advances in systems analysis, software engineering, and high performance computing book series,
Год журнала:
2024,
Номер
unknown, С. 148 - 179
Опубликована: Апрель 4, 2024
The
green
power
sector
is
revolutionizing
energy
production,
grid
management,
and
sustainability
by
integrating
cloud
computing
machine
learning
techniques.
This
chapter
explores
data
handling
processes,
including
sources,
collection
methods,
preprocessing,
computing.
It
discusses
algorithms
for
predictive
modeling
real-time
monitoring.
Key
benefits,
challenges,
considerations
are
discussed,
along
with
case
studies
of
successful
adoption
in
projects.
also
emphasizes
governance,
security,
integration
techniques,
warehousing
solutions
growing
requirements.
offers
efficiency,
reliability,
environmental
responsibility,
but
faces
challenges
like
privacy,
scalability,
regulatory
compliance.
Advances in information security, privacy, and ethics book series,
Год журнала:
2024,
Номер
unknown, С. 214 - 242
Опубликована: Янв. 5, 2024
Smart
cities
are
transforming
by
integrating
artificial
intelligence
(AI)
drones
for
various
applications,
including
traffic
monitoring,
public
space
management,
and
surveillance.
However,
the
increasing
reliance
on
AI
raises
concerns
about
security,
privacy,
trust
of
both
technology
data
it
collects
processes.
Ensuring
these
factors
is
crucial
success
smart
cities.
The
chapter
explores
challenges
strategies
improving
in
It
emphasizes
role
urban
innovation,
evolving
threat
landscape,
importance
robust
security
measures.
Privacy
considerations
also
discussed,
along
with
transparency,
accountability,
ethical
use,
engagement.
Technical
solutions
include
algorithms,
secure
communication
protocols,
trusted
hardware
software
components.
future
trends
emerging
technologies
regulatory
landscape.
Advances in systems analysis, software engineering, and high performance computing book series,
Год журнала:
2024,
Номер
unknown, С. 166 - 193
Опубликована: Май 15, 2024
Digital
technology
has
revolutionized
our
lives,
but
it
also
presents
a
growing
challenge:
digital
waste.
This
issue
involves
electronic,
data,
and
obsolete
devices,
causing
significant
environmental
social
consequences.
To
tackle
this,
multi-faceted
approach
is
needed,
including
ethical
considerations,
policy
interventions,
technological
innovations,
consumer
behavior
change.
Ethical
frameworks,
strengthened
regulatory
eco-design,
producer
responsibility,
circular
economy
principles
are
essential.
Industry
best
practices
innovations
can
reduce
waste,
while
education
change
initiatives
encourage
informed
habits.
Sustainable
require
concerted
effort
from
all
stakeholders.
Advances in information security, privacy, and ethics book series,
Год журнала:
2024,
Номер
unknown, С. 164 - 193
Опубликована: Фев. 2, 2024
This
chapter
delves
into
the
intricate
relationship
between
innovation
and
security
in
digital
age.
It
highlights
challenges
of
age
transformative
impact
cloud
computing,
emphasizing
its
role
driving
innovation.
The
also
service
deployment
models,
discussing
benefits
security.
discusses
progress
through
case
studies
addressing
organizations
face.
risk
assessment
mitigation
cloud,
compliance,
regulatory
challenges,
legal
ethical
considerations,
best
practices.
explores
emerging
technologies
like
AI
machine
learning,
Zero
Trust
security,
future
directions.
Advances in systems analysis, software engineering, and high performance computing book series,
Год журнала:
2024,
Номер
unknown, С. 196 - 224
Опубликована: Март 18, 2024
The
integration
of
fog
computing
and
machine
learning
(ML)
in
digital
healthcare
has
revolutionized
patient
care,
operations,
personalized
treatment.
This
chapter
explores
the
potential
telemedicine,
remote
monitoring,
It
highlights
its
role
addressing
data
processing
challenges,
enabling
real-time
analytics,
ensuring
secure
transmission
medical
information.
Key
case
studies
demonstrate
how
these
integrated
solutions
are
driving
innovation
industry.
combination
ML
offers
a
promising
avenue
for
future
healthcare,
focusing
on
data-driven
decision-making
precision
medicine.
Advances in civil and industrial engineering book series,
Год журнала:
2024,
Номер
unknown, С. 166 - 196
Опубликована: Июнь 24, 2024
The
chapter
explores
the
transformative
role
of
artificial
intelligence
(AI)
and
machine
learning
(ML)
in
shaping
smart
energy
management
systems
(SEMS)
predicts
innovations
by
2030.
It
discusses
AI
principles
optimization,
predictive
analytics
grids,
renewable
integration
through
AI-driven
strategies.
also
addresses
critical
aspects
like
maintenance,
consumer-centric
solutions,
cybersecurity
challenges,
ethical
considerations,
regulatory
frameworks
for
responsible
implementation.
By
examining
challenges
prospects,
it
provides
insights
into
dynamic
future
driven
ML
advancements.
