Journal of Intelligent & Fuzzy Systems,
Год журнала:
2022,
Номер
44(1), С. 981 - 999
Опубликована: Сен. 27, 2022
Social
distance
is
considered
one
of
the
most
effective
prevention
techniques
to
prevent
spread
Covid19
disease.
To
date,
there
no
proper
system
available
monitor
whether
social
distancing
protocol
being
followed
by
individuals
or
not
in
public
places.
This
research
has
proposed
a
hybrid
deep
learning-based
model
for
predicting
maintain
places
through
video
object
detection.
implemented
customized
learning
using
Detectron2
and
IOU
monitoring
process.
The
base
adapted
RCNN
optimization
algorithm
used
Stochastic
Gradient
Descent
algorithm.
been
tested
on
real
time
images
people
gathered
textile
shops
demonstrate
application
developed
model.
performance
evaluation
reveals
that
precision
97.9%
mAP
value
84.46,
which
makes
it
clear
good
adherence
individuals.
Multimedia Tools and Applications,
Год журнала:
2023,
Номер
83(2), С. 5893 - 5927
Опубликована: Май 29, 2023
Abstract
Deep
learning
(DL)
is
becoming
a
fast-growing
field
in
the
medical
domain
and
it
helps
timely
detection
of
any
infectious
disease
(IDs)
essential
to
management
diseases
prediction
future
occurrences.
Many
scientists
scholars
have
implemented
DL
techniques
for
pandemics,
IDs
other
healthcare-related
purposes,
these
outcomes
are
with
various
limitations
research
gaps.
For
purpose
achieving
an
accurate,
efficient
less
complicated
DL-based
system
therefore,
this
study
carried
out
systematic
literature
review
(SLR)
on
pandemics
using
techniques.
The
survey
anchored
by
four
objectives
state-of-the-art
forty-five
papers
seven
hundred
ninety
retrieved
from
different
scholarly
databases
was
analyze
evaluate
trend
application
areas
pandemics.
This
used
tables
graphs
extracted
related
articles
online
repositories
analysis
showed
that
good
tool
pandemic
prediction.
Scopus
Web
Science
given
attention
current
because
they
contain
suitable
scientific
findings
subject
area.
Finally,
presents
forty-four
(44)
studies
technique
performances.
challenges
identified
include
low
performance
model
due
computational
complexities,
improper
labeling
absence
high-quality
dataset
among
others.
suggests
possible
solutions
such
as
development
improved
or
reduction
output
layer
architecture
pandemic-prone
considerations.
The
intelligent
optimization
framework
for
predicting
the
vulnerable
range
of
tumor
cells
using
Internet
Things
(IoT)
provides
a
robust
and
efficient
solution
monitoring,
assessing,
managing
cancer
treatment.
This
is
based
on
combination
deep
learning
algorithms,
big
data
analytics,
cloud
computing,
IoT
technology.
main
purpose
this
to
develop
an
optimal
detecting
latest
advances
in
image
processing,
machine
natural
language
processing.
collects
from
various
medical
or
health-related
sources
such
as
patient
records,
imaging
results,
reports
stores
them
cloud.
It
filters
real-time
at
micro-levels
generate
more
accurate
analysis
order
make
better
proactive
healthcare
decisions.
In
framework,
algorithms
are
used
predictive
models
that
can
accurately
detect
cells.
analytics
platform
analyze
collected
patterns
refined
predictions.
Finally,
computing
technology
distributed
take
advantage
different
sources.
By
integrating
learning,
optimizing
diagnosis
treatment
cancer,
enabling
doctors
provide
care
their
patients.
Information,
Год журнала:
2024,
Номер
15(3), С. 153 - 153
Опубликована: Март 9, 2024
In
this
paper,
we
have
developed
the
SEMAR
(Smart
Environmental
Monitoring
and
Analytics
in
Real-Time)
IoT
application
server
platform
for
fast
deployments
of
systems.
It
provides
various
integration
capabilities
collection,
display,
analysis
sensor
data
on
a
single
platform.
Recently,
Artificial
Intelligence
(AI)
has
become
very
popular
widely
used
applications
including
IoT.
To
support
growth,
AI
into
is
essential
to
enhance
its
after
identifying
current
trends
applicable
technologies
applications.
first
provide
comprehensive
review
using
techniques
literature.
They
cover
predictive
analytics,
image
classification,
object
detection,
text
spotting,
auditory
perception,
Natural
Language
Processing
(NLP),
collaborative
AI.
Next,
identify
characteristics
each
technique
by
considering
key
parameters,
such
as
software
requirements,
input/output
(I/O)
types,
processing
methods,
computations.
Third,
design
based
findings.
Finally,
discuss
use
cases
with
techniques.
The
implementation
proposed
will
be
future
works.
Environmental
safety
is
a
significant
feature
necessary
for
the
healthy
life
style.
Any
abnormality
in
environment
changes
atmospheric
parameters
such
as
humidity,
temperature,
smoke,
level
of
carbon
monoxide
and
sound.
Fatal
health
issues
loss
or
weakening
immunity
&
infertility
occurs
due
to
different
activities
occurring
nuclear
power
plants
recycling
fuel
leakage
radiation
that
add
low
levels
atmosphere.
Leakage
gets
mixed
with
fresh
air
atmosphere
results
into
increase
In
this
work,
wireless
sensor
network
used
measuring
these
which
turn
are
displayed
by
Thingspeak
Linux
based
web
server
available
freely.
Monitoring
on
Internet
Things
(IoT)
detected
using
sensors
transmitted
remote
location
via
IoT
server.
Examination
and
evaluation
of
sentiment
The
most
popular
area
for
dissecting
extracting
knowledge
from
communication
data
many
sources,
such
as
Facebook,
Instagram,
Twitter,
Amazon,
so
on,
is
known
mining.
It
plays
a
fundamental
role
in
enabling
the
organizations
to
work
productively
on
advancing
business
system
gaining
comprehensive
understanding
buyer's
feedback
their
product.
entails
calculating
person's
behavior
terms
his
buying
preferences
then
placing
yourself
shoes
about
commercial
aspect
relationship.
You
may
think
this
component
situation,
person,
blog
post,
or
tangible
experience.
Appraisals,
checks,
Reflections
created
by
customers
be
divided
into
smaller,
more
notable
pieces
usage
large
businesses.
analysis
comparable
purchasing
used
understand
needs
customer
foresee
future
opportunities
assist
them.
E-business
Associations
track
uses
passions
associated
with
Particulars
via
internal
assessment
adopt
better
marketing
mechanism
give
tailored
shopping
experience
customers,
improving
hierarchical
advantage.
By
using
Programming
interface
key,
Twitter
article
was
collected
Twitter.
Similarly,
we
really
want
finish
setting
up
systems.
Additionally,
supported
NLP
approaches,
thus
wish
implement
calculation
crucial
backslide.
exploratory
problems
exhibit
perfection.
