Information,
Journal Year:
2023,
Volume and Issue:
14(11), P. 592 - 592
Published: Nov. 1, 2023
Recently,
the
precise
location
of
sensor
nodes
has
emerged
as
a
significant
challenge
in
realm
Internet
Things
(IoT)
applications,
including
Wireless
Sensor
Networks
(WSNs).
The
accurate
determination
geographical
coordinates
for
detected
events
holds
pivotal
importance
these
applications.
Despite
DV-Hop
gaining
popularity
due
to
its
cost-effectiveness,
feasibility,
and
lack
additional
hardware
requirements,
it
remains
hindered
by
relatively
notable
localization
error.
To
overcome
this
limitation,
our
study
introduces
three
new
approaches
that
combine
with
Chicken
Swarm
Optimization
(CSO).
primary
objective
is
improve
precision
DV-Hop-based
approaches.
In
paper,
we
compare
efficiency
proposed
algorithms
other
existing
approaches,
several
based
on
Particle
(PSO),
while
considering
random
network
topologies.
simulation
results
validate
algorithms.
HW-DV-HopCSO
algorithm
achieves
considerable
improvement
positioning
accuracy
compared
those
models.
Journal of Economy and Technology,
Journal Year:
2023,
Volume and Issue:
1, P. 127 - 143
Published: Aug. 24, 2023
ChatGPT
is
an
Artificial
Intelligence
(AI)-powered
Natural
Language
Processing
(NLP)
tool
that
comprehends
and
produces
text
in
response
to
given
commands.
It
can
be
adopted
for
various
requirements,
like
answering
our
inquiries,
assisting
us
with
content
creation,
translating
languages,
more.
The
fourth
industrial
revolution,
called
"Industry
4.0,"
denotes
a
new
production
age
focused
on
automation,
digitalisation,
real-time
connectivity
of
systems.
help
Industry
4.0
variety
ways.
AI-driven
process
optimisation
poised
revolutionise
by
enhancing
productivity,
quality
assurance,
efficiency.
For
developing
this
paper,
articles
ChatGPT/
AI
were
identified
through
Scopus,
ScienceDirect,
Google
Scholar
ResearchGate.
progresses
due
the
incorporation
cutting-edge
technology
AI,
Machine
Learning
(ML),
NLP
Manufacturing
operations
are
changing.
language
model
becoming
well-known
daily
use
because
its
promising
applications.
In
framework
4.0,
it
promises
processes
assist
advancement
boosting
business
productivity
This
paper
studies
major
need
4.0.
Various
associated
features,
traits
versatile
competencies
briefed.
Finally,
identifies
discusses
significant
applications
very
flexible
efficient
method
creating
human-machine
interfaces
automatically
generating
text,
which
provides
proper
knowledge
guidance
employee.
Applications
include
chatbots,
virtual
assistants,
automated
customer
care,
translation,
production.
future,
will
become
effective
communication
automating
Advances in mechatronics and mechanical engineering (AMME) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 295 - 320
Published: March 4, 2024
The
mathematical
model
of
the
BEV
is
created
in
this
instance
using
MATLAB/Simulink
environment
and
evaluated
several
standard
drive
cycles
order
to
evaluate
performance.
To
ensure
that
battery
continues
operate
a
safe
manner,
fuzzy
logic
control
employed
determine
regenerative
braking
component.
implemented
EV
system's
performance
checked
by
authors
with
regard
RES,
braking,
analysis.
This
accomplished
artificial
intelligence
(AI)
techniques.
sensors
detect
external
physical
parameters.
overall
monitored
two-way
communication
system
cloud
computing
techniques
wireless
technology.
Energy Science & Engineering,
Journal Year:
2024,
Volume and Issue:
12(3), P. 835 - 859
Published: Jan. 2, 2024
Abstract
Industry
4.0
is
a
term
used
to
refer
the
fourth
industrial
revolution,
characterized
by
introduction
of
new
technologies,
such
as
Internet
Things,
Big
Data,
and
artificial
intelligence
(AI).
As
number
connected
devices
in
settings
grows,
energy
optimization
sensors
becomes
increasingly
essential.
This
paper
proposes
an
framework
for
sensor
nodes
4.0.
The
based
on
efficiency,
conservation,
harvesting
principles.
It
designed
optimize
consumption
while
maintaining
their
performance.
includes
dynamic
power
management,
scheduling,
techniques
reduce
In
addition,
provides
comprehensive
approach
optimization,
including
advanced
analytics
AI
predict
use.
proposed
model
reached
96.93%
sensitivity,
91.36%
false
discovery
rate,
11.28%
omission
90.12%
prevalence
threshold,
91.24%
threat
score.
expected
improve
performance
4.0,
enabling
increased
efficiency
cost
savings.
Contrast Media & Molecular Imaging,
Journal Year:
2022,
Volume and Issue:
2022(1)
Published: Jan. 1, 2022
Growth
and
advancement
of
the
Deep
Learning
(DL)
Internet
Things
(IoT)
are
figuring
out
their
way
over
modern
contemporary
world
through
integrating
various
technologies
in
distinct
fields
viz,
agriculture,
manufacturing,
energy,
transportation,
supply
chains,
cities,
healthcare,
so
on.
Researchers
had
identified
feasibility
deep
learning,
cloud,
IoT
to
enhance
overall
automation,
where
may
prolong
its
application
area
utilizing
cloud
services
can
even
applications
data
acquired
by
devices
like
sensors
learning
for
disease
detection
diagnosis.
This
study
explains
a
summary
techniques
utilized
smart
i.e.,
cloud-based-IoT
fog
computing
challenges
issues
faced
healthcare
it
presents
wider
scope
as
is
not
intended
particular
such
aspatient
monitoring,
detection,
diagnosing
used
developing
this
systems
outlined.
Smart
health
bestows
quality
life.
Convenient
comfortable
living
made
possible
provided
(SHSs).
Since
massive
with
enormous
broad
spectrum
diseases
associated
different
organs,
immense
research
be
done
overcome
drawbacks
traditional
methods.
effectively
applied
sector
automate
treatment
process
rural
areas
remotely.
Applications
include
prevention
diagnosis,
fitness
patient
food
mobile
health,
telemedicine,
emergency
systems,
assisted
living,
self-management
chronic
diseases,
Sensors,
Journal Year:
2022,
Volume and Issue:
22(7), P. 2688 - 2688
Published: March 31, 2022
Industry
4.0
is
a
new
paradigm
of
digitalization
and
automation
that
demands
high
data
rates
real-time
ultra-reliable
agile
communication.
Industrial
communication
at
sub-6
GHz
industrial,
scientific,
medical
(ISM)
bands
has
some
serious
impediments,
such
as
interference,
spectral
congestion,
limited
bandwidth.
These
limitations
hinder
the
throughput
reliability
requirements
modern
industrial
applications
mission-critical
scenarios.
In
this
paper,
we
critically
assess
potential
60
millimeter-wave
(mmWave)
ISM
band
an
enabler
for
low-latency
(URLLC)
in
smart
manufacturing,
factories,
operations
beyond.
A
holistic
overview
wireless
standards
key
performance
indicators
are
discussed.
Then
review
antenna
systems
facilitating
beyond
presented.
We
envisage
use
crucial
so
URLLC
could
soar
to
its
full
potential.
