Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 97 - 124
Опубликована: Апрель 30, 2025
This
chapter
has
presented
the
deep
learning
algorithms
in
smart
environments
for
object
detection
purpose;
it
has,
however,
come
to
bode
broader
introspect
towards
more
enhanced
automation
and
intelligence.
These
include
advanced
architectures
of
CNN,
Region-based
YOLO
which
have
accomplished
their
efficiencies
pursuance
both
real-time
identification
subsequent
tracking.
offer
high
accuracy
multiple
applications
home,
city
Industrial
IoT,
leveraging
large
datasets
complex
computational
power.
Discussion
The
discussion
addresses
challenges
computing
complexity,
energy
efficiency,
model
scalability
resource-impoverished
environments.
Therefore,
important
case
studies
practical
examples
would
describe
ways
these
alleys
can
be
combined
with
sensor
networks
IoT
systems,
especially
opportunity
revolutionize
areas
such
as
security,
automation,
adaptable
resource
management.
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 systems analysis, software engineering, and high performance computing book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 27
Опубликована: Май 15, 2024
The
chapter
examines
how
machine
learning
(ML)
and
artificial
intelligence
(AI)
could
be
used
to
solve
environmental
problems
throughout
the
world.
It
emphasizes
crucial
AI
ML
are
optimizing
energy
distribution,
including
demand
forecasting,
improving
smart
grid
performance,
incorporating
renewable
sources.
also
covers
use
of
methods
sustainable
agriculture,
emphasizing
predictive
analytics
for
pest
management,
soil
health
monitoring,
precision
farming.
highlights
effectiveness
resource
encourages
actions
that
ecologically
friendly.
ethical
issues,
societal
ramifications,
legal
systems,
synergies
between
agricultural
solutions.
imagines
a
day
when
advances
led
by
will
essential
environmentally
balanced
planet.
Advances in systems analysis, software engineering, and high performance computing book series,
Год журнала:
2024,
Номер
unknown, С. 255 - 287
Опубликована: Март 18, 2024
Additive
manufacturing
(AM),
commonly
known
as
3D
printing,
has
emerged
a
transformative
technology
with
profound
implications
for
multiple
industries.
The
convergence
of
AM
Industry
4.0
principles
and
advanced
technologies
given
rise
to
5.0,
new
era
characterized
by
enhanced
integration
digitalization.
This
chapter
explores
the
dynamic
landscape
within
context
highlighting
research
trends,
innovations,
challenges.
Key
developments
include
materials
advancements,
multi-material
digital
twins,
bioprinting,
AI-driven
design,
sustainability
initiatives.
5.0's
impact
is
felt
globally,
applications
spanning
aerospace,
healthcare,
fashion,
beyond.
Collaboration
between
academia
industry,
regulatory
frameworks,
pursuit
sustainable
practices
are
driving
forces
shaping
future
in
5.0.
Advances in web technologies and engineering book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 26
Опубликована: Май 16, 2024
This
chapter
explores
the
integration
of
Semantic
Web
control
models,
innovation,
and
security
in
cloud
computing,
especially
context
AIoT
integration.
The
provides
machine-understandable
data
offers
sophisticated
models
that
enhance
innovation
environments.
Technologies
like
RDF,
OWL,
SPARQL
enable
semantic
interoperability,
while
focus
on
access
mechanisms
authentication
strategies.
introduces
concept
AIoT,
integrating
AI
with
IoT
devices
discusses
potential
managing
risks
fostering
innovation.
Advances in human resources management and organizational development book series,
Год журнала:
2024,
Номер
unknown, С. 47 - 68
Опубликована: Апрель 29, 2024
This
chapter
delves
into
the
role
of
digital
HR
in
developing
economies,
focusing
on
intersection
technology,
human
resources,
and
economic
development.
It
highlights
opportunities
challenges
digitalization,
such
as
leveraging
tools
to
enhance
workforce
efficiency
foster
innovation.
The
also
discusses
implications
Industry
5.0,
emphasizing
integration
AI,
automation,
IoT
reshaping
practices.
potential
benefits
include
improved
talent
management
increased
productivity,
but
address
like
infrastructure
constraints
skill
gaps.
forecasts
trends
Digital
specific
aligning
with
5.0
principles.
explores
effects
digitalization
dynamics,
organizational
structures,
economy,
addressing
literacy,
data
privacy,
socio-economic
disparities.
bridging
gaps,
promoting
inclusive
growth,
stimulating
Advances in web technologies and engineering book series,
Год журнала:
2024,
Номер
unknown, С. 335 - 355
Опубликована: Май 16, 2024
Integrating
artificial
intelligence
(AI),
internet
of
things
(IoT),
and
machine
learning
(ML)
technologies
into
fuel
cell
systems
offers
numerous
benefits,
applications,
opportunities
for
advancement
across
various
sectors.
This
chapter
explores
the
synergistic
potential
AI,
IoT,
ML
in
integration,
outlining
their
advantages,
challenges,
solutions.
By
leveraging
AI
predictive
maintenance,
optimizing
operating
conditions
through
IoT
sensors,
employing
algorithms
efficiency
enhancements,
can
achieve
higher
performance
reliability.
Real-world
case
studies
examples
demonstrate
successful
integration
sectors
such
as
transportation,
energy
production,
manufacturing.
Moreover,
this
discusses
future
prospects,
including
advancements
data
analytics,
system
optimization,
scalability,
driving
innovation
technology
with
ML.
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 53 - 86
Опубликована: Фев. 9, 2024
The
construction
industry
is
set
for
a
transformative
era
with
advancements
in
engineered
cementitious
composites
(ECC)
and
alternative
materials.
This
chapter
explores
their
composition,
properties,
applications,
as
well
materials
like
geopolymers
recycled
aggregates.
It
highlights
the
potential
of
these
innovations
to
redefine
practices,
environmental
benefits,
economic
viability.
also
discusses
challenges
widespread
adoption
offers
solutions.
Real-world
case
studies
demonstrate
successful
applications
ECC
materials,
highlighting
performance
further
research.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 231 - 258
Опубликована: Июнь 14, 2024
AI
has
significantly
transformed
human
resources
(HR)
by
enhancing
recruitment,
talent
acquisition,
employee
engagement,
performance
management,
learning,
and
HR
analytics.
This
chapter
explores
the
convergence
of
AI,
highlighting
its
potential
to
revolutionize
modern
workplaces.
The
recruitment
processes
have
been
enhanced
in
strategies
such
as
efficiently
identifying
top
candidates
mitigating
unconscious
bias.
Automated
candidate
screening,
scheduling
interviews,
answering
frequently
asked
questions,
improving
experience
done.
personalized
learning
development
initiatives,
delivering
targeted
training
programs,
skill
gaps,
providing
timely
feedback
facilitated.
AI-powered
systems
provide
real-time
insights
into
metrics,
enabling
proactive
feedback.
By
analyzing
vast
datasets,
algorithms
can
identify
patterns
trends,
facilitating
data-driven
decision-making
evaluations
goal
setting.
Advances in civil and industrial engineering book series,
Год журнала:
2024,
Номер
unknown, С. 147 - 170
Опубликована: Июль 5, 2024
The
chapter
highlights
the
rising
demand
for
effective,
scalable,
and
networked
systems
as
it
addresses
integration
of
5G
IoT
technologies
in
smart
cities.
networks
provide
huge
connection,
speed,
low
latency,
devices
allow
real-time
data
gathering
analysis.
Enhancing
managing
resources
better,
raising
standard
living
locals
are
all
possible
with
this
synergy.
Real-time
transfer,
quick
decision-making,
optimization
energy
distribution,
transportation
systems,
waste
management,
public
services
just
a
few
advantages
that
highlighted
chapter.
But
also
tackles
issues
like
cybersecurity
threats,
infrastructure
needs,
privacy
issues,
legal
frameworks.
In
order
to
build
inclusive,
resilient,
sustainable
cities,
necessity
cooperation
between
stakeholders,
technology
companies,
governmental
organizations.
Advances in civil and industrial engineering book series,
Год журнала:
2024,
Номер
unknown, С. 113 - 146
Опубликована: Июль 5, 2024
This
chapter
explored
how
artificial
intelligence
(AI)
can
be
applied
to
internet
of
things
(IoT)
communication
networks
increase
urban
sustainability
and
connectivity.
AI
algorithms
network
performance
has
been
enhanced
by
facilitating
automated
decision-making,
predictive
analytics,
real-time
data
processing.
The
infrastructure
become
flexible
with
the
environment.
AI-powered
traffic
management
systems
that
minimize
pollution
congestion
have
analyzing
patterns
optimizing
signal
timing.
used
for
anomaly
detection
encryption
improve
IoT
security
privacy.
It
encourages
trash
management,
environmental
monitoring,
development
smart
grids,
all
which
livability
sustainability.
