2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA),
Journal Year:
2023,
Volume and Issue:
unknown, P. 689 - 696
Published: Nov. 22, 2023
Fluoride
in
drinking
water
has
been
a
significant
issue
recent
years
due
to
speculation
about
positive
benefits
on
dental
health.
When
fluoride
levels
are
too
high,
fluorosis
may
develop
the
enamel
and
remain
permanently.
Traditional
methods
of
determining
concentration
often
laborious
time
consuming,
not
mention
non-real
time.
This
study
introduces
an
ML
method
for
predicting
assessing
effects
tooth
In
this
study,
wide
variety
models,
such
as
Decision
Trees,
Neural
Networks,
Support
Vector
Machines,
employed
analyze
dataset
consisting
samples
from
various
locations
oral
health
characteristics.
approach
be
beneficial
detecting
real-time
identifying
their
impact
health,
since
our
best-performing
model
had
accuracy
96.4%.
only
paves
way
proactive
quality
management,
but
it
also
helps
communities
anticipate
avoid
risks
caused
by
changing
concentrations.
International Journal on Recent and Innovation Trends in Computing and Communication,
Journal Year:
2023,
Volume and Issue:
11(10), P. 172 - 184
Published: Nov. 2, 2023
With
the
proliferation
of
digital
content,
efficient
image
matching
in
natural
databases
has
become
paramount.
Traditional
techniques,
while
effective
to
a
certain
extent,
face
challenges
dealing
with
high
variability
inherent
images.
This
research
delves
into
application
deep
learning
models,
particularly
Convolutional
Neural
Networks
(CNNs),
Siamese
Networks,
and
Triplet
address
these
challenges.
We
introduce
various
techniques
enhance
efficiency,
such
as
data
augmentation,
transfer
learning,
dimensionality
reduction,
sampling,
amalgamation
traditional
computer
vision
strategies
learning.
Our
experimental
results,
garnered
from
specific
dataset,
demonstrate
significant
improvements
quantified
by
metrics
like
precision,
recall,
F1-Score,
time.
The
findings
underscore
potential
transformative
tool
for
database
matching,
setting
stage
further
optimization
this
domain.
Advances in computational intelligence and robotics book series,
Journal Year:
2023,
Volume and Issue:
unknown, P. 346 - 369
Published: Dec. 29, 2023
Machine
learning
and
blockchain
have
the
potential
to
completely
change
landscape
of
industrial
robots.
Learning
adaptation
give
robots
an
edge
in
functionality
independence.
Blockchain,
on
other
hand,
provides
a
decentralized
secure
platform
for
information
exchange
transaction
verification.
In
this
chapter,
authors
look
at
benefits
drawbacks
integrating
machine
technology
use
manufacturing
The
study
begins
with
brief
introduction
learning,
blockchain,
their
respective
robot
applications.
Some
possibilities
advantages
that
will
be
covered
next
sections
include
better
data
security,
more
transparent
auditable
decision
making,
control
systems.
importance
collaboration
between
academic
institutions,
businesses,
government
agencies
is
emphasized
order
speed
up
process
mainstreaming
integration
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA),
Journal Year:
2023,
Volume and Issue:
unknown, P. 689 - 696
Published: Nov. 22, 2023
Fluoride
in
drinking
water
has
been
a
significant
issue
recent
years
due
to
speculation
about
positive
benefits
on
dental
health.
When
fluoride
levels
are
too
high,
fluorosis
may
develop
the
enamel
and
remain
permanently.
Traditional
methods
of
determining
concentration
often
laborious
time
consuming,
not
mention
non-real
time.
This
study
introduces
an
ML
method
for
predicting
assessing
effects
tooth
In
this
study,
wide
variety
models,
such
as
Decision
Trees,
Neural
Networks,
Support
Vector
Machines,
employed
analyze
dataset
consisting
samples
from
various
locations
oral
health
characteristics.
approach
be
beneficial
detecting
real-time
identifying
their
impact
health,
since
our
best-performing
model
had
accuracy
96.4%.
only
paves
way
proactive
quality
management,
but
it
also
helps
communities
anticipate
avoid
risks
caused
by
changing
concentrations.
