Big Data and Cognitive Computing,
Journal Year:
2022,
Volume and Issue:
6(4), P. 117 - 117
Published: Oct. 17, 2022
Deep
learning
techniques
have
rapidly
become
important
as
a
preferred
method
for
evaluating
medical
image
segmentation.
This
survey
analyses
different
contributions
in
the
deep
field,
including
major
common
issues
published
recent
years,
and
also
discusses
fundamentals
of
concepts
applicable
to
The
study
can
be
applied
categorization,
object
recognition,
segmentation,
registration,
other
tasks.
First,
basic
ideas
techniques,
applications,
frameworks
are
introduced.
that
operate
ideal
applications
briefly
explained.
paper
indicates
there
is
previous
experience
with
class
has
been
designed
describe
respond
various
challenges
field
analysis
such
low
accuracy
classification,
segmentation
resolution,
poor
enhancement.
Aiming
solve
these
present
improve
evolution
challenges,
we
provide
suggestions
future
research.
Sensors,
Journal Year:
2022,
Volume and Issue:
22(13), P. 4670 - 4670
Published: June 21, 2022
A
stroke
is
caused
when
blood
flow
to
a
part
of
the
brain
stopped
abruptly.
Without
supply,
cells
gradually
die,
and
disability
occurs
depending
on
area
affected.
Early
recognition
symptoms
can
significantly
carry
valuable
information
for
prediction
promoting
healthy
life.
In
this
research
work,
with
aid
machine
learning
(ML),
several
models
are
developed
evaluated
design
robust
framework
long-term
risk
occurrence.
The
main
contribution
study
stacking
method
that
achieves
high
performance
validated
by
various
metrics,
such
as
AUC,
precision,
recall,
F-measure
accuracy.
experiment
results
showed
classification
outperforms
other
methods,
an
AUC
98.9%,
F-measure,
precision
recall
97.4%
accuracy
98%.
Opto-Electronic Advances,
Journal Year:
2022,
Volume and Issue:
5(3), P. 210147 - 210147
Published: Jan. 1, 2022
In
the
recent
years,
a
dramatic
boost
of
research
is
observed
at
junction
photonics,
machine
learning
and
artificial
intelligence.
A
new
methodology
can
be
applied
to
description
variety
photonic
systems
including
optical
waveguides,
nanoantennas,
metasurfaces.
These
novel
approaches
underpin
fundamental
principles
light-matter
interaction
developed
for
smart
design
intelligent
devices.
Artificial
intelligence
machine
learning
penetrate
rapidly
into
physics
light,
they
provide
effective
tools
study
field
metaphotonics
driven
by
optically
induced
electric
magnetic
resonances.
Here
we
overview
evaluation
metaphotonics
artificial
present
summary
concepts
with
some
specific
examples
demonstrated
metasystems
Sensors,
Journal Year:
2023,
Volume and Issue:
23(1), P. 527 - 527
Published: Jan. 3, 2023
Artificial
intelligence
has
significantly
enhanced
the
research
paradigm
and
spectrum
with
a
substantiated
promise
of
continuous
applicability
in
real
world
domain.
intelligence,
driving
force
current
technological
revolution,
been
used
many
frontiers,
including
education,
security,
gaming,
finance,
robotics,
autonomous
systems,
entertainment,
most
importantly
healthcare
sector.
With
rise
COVID-19
pandemic,
several
prediction
detection
methods
using
artificial
have
employed
to
understand,
forecast,
handle,
curtail
ensuing
threats.
In
this
study,
recent
related
publications,
methodologies
medical
reports
were
investigated
purpose
studying
intelligence's
role
pandemic.
This
study
presents
comprehensive
review
specific
attention
machine
learning,
deep
image
processing,
object
detection,
segmentation,
few-shot
learning
studies
that
utilized
tasks
COVID-19.
particular,
genetic
analysis,
clinical
data
sound
biomedical
classification,
socio-demographic
anomaly
health
monitoring,
personal
protective
equipment
(PPE)
observation,
social
control,
patients'
mortality
risk
approaches
forecast
threatening
factors
demonstrates
artificial-intelligence-based
algorithms
integrated
into
Internet
Things
wearable
devices
quite
effective
efficient
forecasting
insights
which
actionable
through
wide
usage.
The
results
produced
by
prove
is
promising
arena
can
be
applied
for
disease
prognosis,
forecasting,
drug
discovery,
development
sector
on
global
scale.
We
indeed
played
important
helping
fight
against
COVID-19,
insightful
knowledge
provided
here
could
extremely
beneficial
practitioners
experts
domain
implement
systems
curbing
next
pandemic
or
disaster.
