Integrating Artificial Intelligence Agents with the Internet of Things for Enhanced Environmental Monitoring: Applications in Water Quality and Climate Data
Electronics,
Год журнала:
2025,
Номер
14(4), С. 696 - 696
Опубликована: Фев. 11, 2025
The
integration
of
artificial
intelligence
(AI)
agents
with
the
Internet
Things
(IoT)
has
marked
a
transformative
shift
in
environmental
monitoring
and
management,
enabling
advanced
data
gathering,
in-depth
analysis,
more
effective
decision
making.
This
comprehensive
literature
review
explores
AI
IoT
technologies
within
sciences,
particular
focus
on
applications
related
to
water
quality
climate
data.
methodology
involves
systematic
search
selection
relevant
studies,
followed
by
thematic,
meta-,
comparative
analyses
synthesize
current
research
trends,
benefits,
challenges,
gaps.
highlights
how
enhances
IoT’s
collection
capabilities
through
predictive
modeling,
real-time
analytics,
automated
making,
thereby
improving
accuracy,
timeliness,
efficiency
systems.
Key
benefits
identified
include
enhanced
precision,
cost
efficiency,
scalability,
facilitation
proactive
management.
Nevertheless,
this
encounters
substantial
obstacles,
including
issues
quality,
interoperability,
security,
technical
constraints,
ethical
concerns.
Future
developments
point
toward
enhancements
technologies,
incorporation
innovations
like
blockchain
edge
computing,
potential
formation
global
systems,
greater
public
involvement
citizen
science
initiatives.
Overcoming
these
challenges
embracing
new
technological
trends
could
enable
play
pivotal
role
strengthening
sustainability
resilience.
Язык: Английский
Data-Driven Solutions Enhancing Adaptive Education Through Technological Innovations for Disability Support
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 101 - 124
Опубликована: Дек. 30, 2024
This
chapter
explores
the
transformative
role
of
data-driven
solutions
in
advancing
adaptive
education
for
students
with
disabilities.
examines
how
advanced
data
analysis
techniques
enable
creation
personalized
learning
environments
tailored
to
individual
needs
and
challenges.
Key
topics
include
innovative
collection
methods,
such
as
analytics
behavioral
data,
their
application
designing
customized
educational
tools
strategies.
The
also
presents
real-world
case
studies
showcasing
successful
use
approaches
enhance
accessibility
inclusivity
settings.
By
providing
a
comprehensive
analysis,
this
underscores
potential
improve
outcomes,
foster
equity,
create
more
effective
support
systems
Язык: Английский
Impact of artificial intelligence and knowledge management on proactive green innovation: the moderating role of trust and sustainability
Asia-Pacific Journal of Business Administration,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 25, 2024
Purpose
In
this
research,
we
seek
to
understand
the
effects
of
artificial
intelligence
(AI)
and
knowledge
management
(KM)
processes
in
enhancing
proactive
green
innovation
(PGI)
within
oil
gas
organizations.
It
also
aims
investigate
moderator
role
trust
sustainability
these
relationships.
Design/methodology/approach
This
paper
employs
a
quantitative
analysis.
Surveys
have
been
gathered
from
middle-line
managers
twenty-four
government
organizations
evaluate
perceptions
towards
AI,
KM
processes,
trust,
measures
toward
innovation.
Analytical
statistical
tools
that
were
employed
study,
including
structural
equation
modeling
with
SmartPLSv3.9,
used
analyze
data
examine
measurement
models
study.
Findings
The
study
results
reveal
significant
positive
impact
AI
utilization,
PGI
Furthermore,
turn
out
be
viable
moderators
affecting,
influencing
strength
direction
particular,
higher
levels
more
substantial
commitments
enhance
on
outcomes.
Practical
implications
Understanding
KM,
offers
valuable
insights
for
organizational
leaders
policymakers
seeking
promote
industry.
Thus,
can
increase
efficiency
sustainable
product
development,
process
improvement
environmental
by
using
robust
technologies
effective
systems.
fostering
among
stakeholders
embedding
principles
into
culture
amplify
effectiveness
initiatives
driving
Originality/value
extends
current
assessing
effect
while
accounting
as
moderators.
Utilizing
methods
nuanced
understanding
complex
interactions
between
variables,
thereby
advancing
theoretical
fields
management,
behavior.
Additionally,
identification
specific
mechanisms
contextual
factors
enriches
practical
practitioners
striving
dynamics
complexities
an
AI-driven
era.
Язык: Английский
How Robotics is Shaping Digital Logistics and Supply Chain Management: An Ongoing Call for Research
Journal of Business Logistics,
Год журнала:
2025,
Номер
46(1)
Опубликована: Янв. 1, 2025
ABSTRACT
The
Journal
of
Business
Logistics
has
been
the
top
location
for
publishing
logistics
and
supply
chain‐related
technological
research
over
forty
years.
With
digital
transformation,
reshoring
manufacturing,
labor
shortages,
decreasing
birth
rates,
aging
workforces,
companies
are
increasingly
adopting
artificial
intelligence‐supported
robotics
to
increase
ability
chains
react
quickly
effectively
changes
in
customer
demand,
market
conditions,
or
disruptions.
This
paper
analyzes
use
hardware
robots
across
fulfillment
process.
study
addresses
evolution
robotic
training
from
explicit
programming
machine
learning
continues
with
a
detailed
discussion
generative
learning.
We
then
provide
an
overview
key
driven
by
models
that
used
examines
challenges
robot
adoption
presents
organizations
concludes
directions
further
using
Theory
Resource
Orchestration.
Язык: Английский
Investigating the potential of blockchain technology in enabling circular economy practices in Industry 5.0: an electronics industry case study
Benchmarking An International Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 24, 2025
Purpose
This
study
seeks
to
investigate
the
ability
of
blockchain
technology
(BCT)
increase
circular
economy
(CE)
practices
in
electronics
industry,
emphasising
India
and
Taiwan.
Design/methodology/approach
The
adopts
a
mixed-methods
approach.
Initial
qualitative
semi-structured
interviews
examined
how
BCT
could
inform
CE
practice.
aspects
were
followed
by
Analytical
Hierarchy
Process
(AHP),
integrating
quantitative
approaches,
fuzzy-set
Qualitative
Comparative
Analysis
(fsQCA),
analyse
data
from
391
industry
experts
surveyed.
Findings
results
show
that
has
great
potential
promote
processes
improving
security,
transparency
traceability.
adoption
is
driven
conducive
regulatory
regime,
stakeholder
collaboration,
availability
required
technology.
Research
limitations/implications
By
identifying
key
drivers
requisite
requirements
for
successful
practices,
this
research
offers
critical
guidance
policymakers,
practitioners
researchers.
It
adds
wider
conversation
about
emerging
technologies
can
support
sustainability
efficiency
industry.
Originality/value
contributes
literature
providing
new
lens
intersectionality,
particularly
context
countries
such
as
Unlike
previous
studied
either
or
independently,
uniquely
illustrates
principles
underpinning
these
concepts,
when
implemented
together,
positively
impact
outcomes
within
resource-intensive
notorious
generating
highly
significant
waste
streams.
Язык: Английский
Enhancing Organizational Success: A Strategic Approach to Data Quality and Governance
Опубликована: Янв. 1, 2025
Язык: Английский
From talk to trust: cultural dynamics of AI-driven social responsibility in negotiations for strategic communication
International Communication of Chinese Culture,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
Язык: Английский
Sustainable Food and Beverage Practices With AI
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 1 - 14
Опубликована: Апрель 11, 2025
Incorporating
Artificial
Intelligence
in
food
and
beverage
management
policies
establishments
is
gradually
changing
the
sustainability
progress
hospitality
industries.
This
chapter
looks
at
innovation
sustainable
sourcing,
Sustainable
Resource
Management,
energy
efficiency,
Customized
Consumer
Experiences
that
can
be
served
with
help
of
AI
techniques.
Focusing
on
existing
literature
discusses
current
trends,
case
studies,
technology
advances,
underlines
principal
capability
diminishing
environmental
impacts
beverages
service
while
integrating
high
quality
into
business
model.
It
also
highlights
application
efficient
supply
chains,
forecasting
consumer
behavior,
driving
path.
The
concludes
tactic
suggestions
for
applying
to
objective
F&B
industry
ensuring
advancement
engineering
does
not
cause
a
regression
ecological
motives.
Язык: Английский
Ethical Considerations in AI Development for Cloud Computing and Data-Driven Software Solutions
Advances in human and social aspects of technology book series,
Год журнала:
2024,
Номер
unknown, С. 23 - 58
Опубликована: Окт. 17, 2024
As
Artificial
Intelligence
(AI)
becomes
increasingly
integrated
into
cloud
computing
and
data-driven
software
solutions,
the
ethical
implications
of
its
development
deployment
gain
paramount
importance.
This
chapter
delves
complex
landscape
surrounding
AI
technologies
within
these
domains.
It
explores
key
considerations
such
as
privacy,
bias,
transparency,
accountability,
potential
for
misuse
AI-driven
systems.
The
also
examines
challenges
ensuring
data
security
use
large
datasets,
emphasizing
need
robust
frameworks
that
balance
innovation
with
responsible
practices.
By
analyzing
case
studies
current
regulations,
this
provides
actionable
insights
guidelines
developers,
researchers,
policymakers
to
foster
in
environments.
aim
is
contribute
a
sustainable
equitable
technological
future
where
serves
humanity
responsibly
justly.
Язык: Английский