Internet of Things with Deep Learning Techniques for Pandemic Detection: A Comprehensive Review of Current Trends and Open Issues
Electronics,
Journal Year:
2024,
Volume and Issue:
13(13), P. 2630 - 2630
Published: July 4, 2024
Technological
advancements
for
diverse
aspects
of
life
have
been
made
possible
by
the
swift
development
and
application
Internet
Things
(IoT)
based
technologies.
IoT
technologies
are
primarily
intended
to
streamline
various
processes,
guarantee
system
(technology
or
process)
efficiency,
ultimately
enhance
quality
life.
An
effective
method
pandemic
detection
is
combination
deep
learning
(DL)
techniques
with
IoT.
proved
beneficial
in
many
healthcare
domains,
especially
during
last
worldwide
health
crisis:
COVID-19
pandemic.
Using
studies
published
between
2019
2024,
this
review
seeks
examine
ways
that
IoT-DL
models
contribute
detection.
We
obtained
titles,
keywords,
abstracts
chosen
papers
using
Scopus
Web
Science
(WoS)
databases.
This
study
offers
a
comprehensive
literature
unresolved
problems
applying
DL
19
were
eligible
be
read
from
start
finish
out
2878
initially
accessed.
To
provide
practitioners,
policymakers,
researchers
useful
information,
we
range
previous
goals,
approaches
used,
contributions
those
studies.
Furthermore,
considering
numerous
as
they
help
preparedness
control,
structured
overview
current
scientific
trends
open
issues
field.
provides
thorough
state-of-the-art
routing
currently
use,
well
their
limits
potential
future
developments,
making
it
an
invaluable
resource
practitioners
tool
multidisciplinary
research.
Language: Английский
Enhancing Security Mechanisms for IoT-Fog Networks
Journal of Robotics and Control (JRC),
Journal Year:
2024,
Volume and Issue:
5(1), P. 152 - 159
Published: Jan. 24, 2024
This
study
contributes
to
improving
Morocco's
fish
canning
industry
by
integrating
artificial
intelligence
(AI).
The
primary
objective
involves
developing
an
AI
and
image
processing-based
system
monitor
guarantee
process
quality
in
the
facility.
It
commenced
with
IoT-enabled
device
capable
of
capturing
processing
images,
leading
creation
AI-driven
adept
at
accurately
categorizing
improperly
crimped
cans.
Further
advancements
focused
on
reinforcing
communication
between
IoT
devices
servers
housing
individual
client's
neural
network
weights.
These
weights
are
vital,
ensuring
functionality
our
device.
efficiency
cans
relies
updated
from
Fog
server,
crucial
for
continual
refinement
adaptation
diverse
can
shapes.
Securing
integrity
server
is
imperative
avoid
disruptions
classification,
emphasizing
need
secure
channels.
In
this
paper,
key
scientific
contribution
revolves
around
devising
a
security
protocol
founded
HMAC.
guarantees
authentication
preserves
exchanged
computing
nodes
devices.
innovative
addition
comprehensive
dictionary
within
significantly
bolsters
measures,
enhancing
overall
safety
these
interconnected
entities.
Language: Английский