MATEC Web of Conferences,
Год журнала:
2024,
Номер
392, С. 01095 - 01095
Опубликована: Янв. 1, 2024
You
In
the
fiercely
competitive
landscape
of
E-Commerce
industry,
significance
Personalization
cannot
be
overstated
when
it
comes
to
retaining
customers
and
bolstering
revenue
streams.
Employing
a
recommendation
system
proves
highly
efficacious
strategy
for
achieving
this
personalization
objective,
as
furnishes
users
with
pertinent
product
suggestions
tailored
their
preferences
behaviors.
The
focal
point
project
is
development
an
E-commerce
platform,
poised
elevate
user
experiences
amplify
sales.
Our
methodology
involves
comprehensive
analysis
data
coupled
application
machine
learning
algorithms,
all
aimed
at
refining
optimizing
engine.
findings
from
our
unveil
marked
advancement
in
both
engagement
conversion
rates.
Rigorous
testing
has
underscored
substantial
efficacy
personalized
recommendations
reinforcing
edge
platforms.
As
demand
interactions
continues
rise
among
consumers,
dedicated
delivering
seamless
customized
shopping
experience,
fostering
customer
loyalty,
propelling
sustainable
business
growth.
MATEC Web of Conferences,
Год журнала:
2024,
Номер
392, С. 01100 - 01100
Опубликована: Янв. 1, 2024
Technology
has
greatly
advanced
the
agriculture
industry,
making
it
more
data-
driven
and
intelligent.
The
Internet
of
Things
grown
at
an
exponential
rate,
causing
significant
changes
in
many
industries,
radical
change
creates
opportunities
as
well
challenges
because
destroys
current
farming
methods.
(IoT)
wireless
sensors'
possible
uses
are
covered
this
article.
It
also
discusses
some
that
could
occur
from
integrating
technology
with
traditional
IoT
tools
techniques
used
agricultural
applications
explained
detail.
Based
on
article,
we
can
determine
trends
agriculture.
MATEC Web of Conferences,
Год журнала:
2024,
Номер
392, С. 01114 - 01114
Опубликована: Янв. 1, 2024
Translational
CT
(TCT),
in
developing
nations,
a
low-end
computed
tomography
(CT)
technology
are
relatively
common.
The
limited-angle
TCT
scanning
mode
is
often
used
with
large-angle
to
scan
items
within
narrow
angular
range,
reduce
X-ray
radiation,
long
objects,
and
prevent
detector
discrepancies..
However,
this
greatly
reduces
the
picture
quality
diagnostic
accuracy
due
added
noise
distortions.
A
U-net
convolutional
neural
network-based
approach
for
image
reconstruction
has
been
created
reconstruct
high-quality
(CNN).
projection
data
first
examined
using
SART
method,
resulting
then
fed
into
trained
CNN
that
can
artifacts
maintain
structures
provide
better
reconstructed
image.
Simulated
studies
demonstrate
effectiveness
of
algorithm
designed
limitedangle
mode.
In
contrast
certain
modern
techniques,
developed
considerably
lowers
while
maintaining
structures.
MATEC Web of Conferences,
Год журнала:
2024,
Номер
392, С. 01120 - 01120
Опубликована: Янв. 1, 2024
You
In
most
cases,
doctors
and
the
use
of
image
processing
tools
can
assess
placenta—the
actual
site
physical
birth—during
pregnancy.
Models
built
using
Machine
Learning
produce
performance
metrics
such
as
Accuracy,
ROC,
Precision,
Recall,
F-Measure,
which
quantify
this
support.
This
research
makes
tailored
strategy
into
Weka
tool,
namely
DeepLearning4j
package.Using
common
architectures
LeNet,
VGGnet,
ResNet,
Alexnet
yields
results
that
are
comparable.
By
iterating
over
input
layer's
Loss
functions
output
errors,
evaluates
optimizes
suggested
architecture
based
on
its
quality.
The
experimental
show
out
seven
distinct
loss
functions,
one
with
abbreviation
"MCXENT"
(meaning
"Multi-class
Cross
Entropy")
produces
accurate
least
error-prone
results.
Additionally,
a
maximum
accuracy
95.7%
is
obtained,
considered
best
performance.
These
findings
lend
credence
to
an
additional
machine
learning
employs
interactive
development
tool
for
gynecologists
offer
fresh
assurance
in
efficacy.
MATEC Web of Conferences,
Год журнала:
2024,
Номер
392, С. 01095 - 01095
Опубликована: Янв. 1, 2024
You
In
the
fiercely
competitive
landscape
of
E-Commerce
industry,
significance
Personalization
cannot
be
overstated
when
it
comes
to
retaining
customers
and
bolstering
revenue
streams.
Employing
a
recommendation
system
proves
highly
efficacious
strategy
for
achieving
this
personalization
objective,
as
furnishes
users
with
pertinent
product
suggestions
tailored
their
preferences
behaviors.
The
focal
point
project
is
development
an
E-commerce
platform,
poised
elevate
user
experiences
amplify
sales.
Our
methodology
involves
comprehensive
analysis
data
coupled
application
machine
learning
algorithms,
all
aimed
at
refining
optimizing
engine.
findings
from
our
unveil
marked
advancement
in
both
engagement
conversion
rates.
Rigorous
testing
has
underscored
substantial
efficacy
personalized
recommendations
reinforcing
edge
platforms.
As
demand
interactions
continues
rise
among
consumers,
dedicated
delivering
seamless
customized
shopping
experience,
fostering
customer
loyalty,
propelling
sustainable
business
growth.
