Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 33 - 44
Published: Dec. 13, 2024
The
management
of
current
economic
data
has
been
entirely
revolutionised
by
the
integration
artificial
intelligence
(AI)
and
Internet
Everything
(IoE).
This
research
is
dedicated
to
improvement
collection,
processing,
interpretation
through
application
AI
algorithms
IoE
technology.
method
swiftly
reliably
reveals
trends,
consumer
behaviour,
market
dynamics
combining
advanced
analytical
capabilities
with
interconnected
sensors,
devices,
systems
Things.
(IoE)
facilitates
immediate
analysis,
which
can
be
employed
governments,
corporations,
researchers
improve
decision-making
processes,
thereby
contributing
economy's
growth.
paper
investigates
potential,
constraints,
future
ramifications
paradigm
transition
towards
AI-enhanced
technologies.
It
illustrates
potential
for
these
transform
processing
data.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 341 - 354
Published: Dec. 13, 2024
The
implementation
of
systems
that
are
anchored
on
AI.
system
is
being
proposed
designed
to
optimize
the
flow
business,
minimize
amount
traffic,
and
improve
general
mobility
community
by
utilizing
sophisticated
machine
learning
algorithms
real-time
data
analytics.
To
provide
a
full
overview
present
state
incorporates
from
wide
variety
sources,
such
as
business
cameras,
detectors,
bias
enabled
GPS.
A
grounded
in
artificial
intelligence
can
predict
respond
dislocations
through
utilization
prophetic
modeling
dynamic
signal
control.
This
allows
for
reduction
detainments
improvement
trip
effectiveness.
Additionally,
research
delves
into
armature
system,
examining
its
limitations
terms
perpetration
well
implicit
benefits.
findings
airman
some
metropolitan
regions
reveal
considerable
improvements
corporate
operations
time
spent
commuting.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 367 - 382
Published: Dec. 13, 2024
Today,
businesses
are
interested
in
innovation
by
way
of
technological
exploration
to
increase
reach
and
efficiency.
This
study
aims
visualize
the
research
done
business
management
performance,
with
an
implication
machine
learning
techniques.
The
Scopus
database
was
used
collect
source
documents
relating
this
area.
A
bibliometric
analysis,
including
a
network
link
analysis
study,
has
been
conducted
understand
relatedness
various
descriptive
characteristics
literature.
is
using
threefold
approach;
co-citation
map,
bibliographic
coupling
map
co-word
analysis.
results
show
increased
application
tools
analyzing
operational
financial
predicting
knowledge
systems.
Machine
techniques
like
deep
learning,
neural
long
short-term
memory
spotted
very
few
recent
studies
which
enhances
opportunity
for
future
researchers
use
same
performance
forecasting
models
organizations.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 18
Published: Dec. 13, 2024
Real-time
system
identification
is
an
essential
element
in
controlling
and
monitoring
dynamic
systems.
It
enables
the
accurate
description
of
behaviour
using
observable
data.
This
study
explores
application
mathematical
techniques
such
as
Kalman
filtering,
adaptive
recursive
least
squares
for
real-time
The
essay
examines
fundamental
principles
real-world
uses
robots,
telecommunications,
aviation.
algorithms'
capacity
to
adjust
changes
their
computational
efficiency
are
emphasised.
These
improve
ability
control
make
decisions
by
creating
models
systems,
proven
simulations
case
studies.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 137 - 152
Published: Dec. 13, 2024
The
businesses
to
be
able
assess
and
make
decisions
regarding
perceptivity
in
real-time,
they
are
required
have
powerful
processing
systems
that
capable
of
high
speeds.
As
a
result
limitations
terms
speed,
efficacy,
scalability,
traditional
infrastructures
frequently
fail
unexpectedly
when
it
comes
meeting
these
requirements.
Providing
tailored
design
solutions
optimize
data
output
efficiency
is
one
the
prospective
outcomes
may
accomplished
through
use
VLSI
infrastructures.
purpose
this
study
investigate
methods
currently
being
utilized
for
(VLSI)
circuits
present
unique
architectural
fabrics
enhance
performance
business
intelligence
applications
such
as
mining,
forecasting
analytics,
real-time
decision
aid.
results
experiments
indicate
there
significant
advantages
both
speed
at
which
carried
out
with
energy
compared
conventional
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 33 - 44
Published: Dec. 13, 2024
The
management
of
current
economic
data
has
been
entirely
revolutionised
by
the
integration
artificial
intelligence
(AI)
and
Internet
Everything
(IoE).
This
research
is
dedicated
to
improvement
collection,
processing,
interpretation
through
application
AI
algorithms
IoE
technology.
method
swiftly
reliably
reveals
trends,
consumer
behaviour,
market
dynamics
combining
advanced
analytical
capabilities
with
interconnected
sensors,
devices,
systems
Things.
(IoE)
facilitates
immediate
analysis,
which
can
be
employed
governments,
corporations,
researchers
improve
decision-making
processes,
thereby
contributing
economy's
growth.
paper
investigates
potential,
constraints,
future
ramifications
paradigm
transition
towards
AI-enhanced
technologies.
It
illustrates
potential
for
these
transform
processing
data.
