2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS),
Journal Year:
2023,
Volume and Issue:
unknown, P. 2182 - 2188
Published: March 17, 2023
The
world
has
altered
since
the
World
Health
Organization
(WHO)
designated
(COVID-19)
a
worldwide
epidemic.
Everything
in
society,
from
professions
to
routines,
shifted
accommodate
new
reality.
warns
that
future
pandemics
of
infectious
diseases
are
likely
and
people
should
be
ready
for
worst.
Therefore,
this
study
presents
framework
tracking
monitoring
COVID-19
using
Deep
Learning
(DL)
perfect.
suggested
utilises
UAVs
(such
as
quadcopter
or
drone)
equipped
with
artificial
intelligence
(AI)
Internet
Things
(IoT)
keep
an
eye
on
combat
spread
COVID-19.
AI/IoT
nursing
drone-based
IoT
scheme
sterilisation
make
up
bulk
infrastructure.
proposed
solution
is
based
use
current
camera
installed
face-shield
helmet
emergency
situations
like
pandemics.
developed
AI
algorithm
processes
thermal
images
have
been
detected
multi-scale
similar
convolution
blocks
(MPCs)
Res
trained
residual
learning.
When
infected
cases
detected,
helmet's
embedded
system
can
trigger
drone
intervene.
population
eradicated
help
drone's
process.
undergoes
experimental
evaluation,
findings
presented.
outline
delivers
novel
well-organized
arrangement
combating
additional
epidemics,
evidenced
by
results
Journal of Electronics Electromedical Engineering and Medical Informatics,
Journal Year:
2024,
Volume and Issue:
6(2), P. 182 - 195
Published: April 14, 2024
Enhanced
patient
care
and
remote
health
monitoring
have
always
been
important
issues.
Internet
of
Medical
Things
(IoMT)
is
a
subsection
Healthcare
4.0
that
uses
recent
technologies
like
mobile
computing,
medical
sensors,
cloud
computing
to
track
patients'
information
in
real-time.
These
data
are
stored
framework
may
be
accessed
analyzed
by
healthcare
experts.
IoMT
immense
potential
for
revolutionizing
diagnostics,
despite
facing
numerous
complex
challenges.
This
paper
thoroughly
analyzes
technical,
structural,
regulatory
obstacles
encountered
the
sector.
Challenges
implementation
include
cost
considerations,
network
stress,
interoperability
issues,
ethical
limitations,
policy
intricacies,
security
concerns,
vulnerabilities
jeopardizing
privacy.
However,
amidst
these
challenges,
study
highlights
prospective
long-term
benefits,
including
diminished
costs
enhanced
care.
In
this
study,
we
portrayed
comprehensive
exploration
field
different
related
from
more
than
100
papers
represent
transformation
growth
decade.
We
illustrated
some
significant
findings
applications
innovations
domain
IoMT.
delves
into
IoMT's
application
dementia
detection
care,
improved
management,
fortified
cybersecurity
measures,
modernizing
existing
systems.
The
also
offers
valuable
insights
mitigation
strategies,
offered
ongoing
research
innovation
address
emerging
trends
propelling
trajectory
towards
an
optimized
transformative
future
well-being.
Hence
needs
integrate
prudent
addressing
challenges
security,
privacy,
interoperability,
costs.
Applications
of
drones
in
emergency
response,
like
firefighting,
have
been
promoted
the
past
decade.
As
autonomy
continues
to
improve,
ways
which
they
are
integrated
into
firefighting
teams
and
their
impact
on
crews
changing.
This
demands
more
understanding
how
firefighters
perceive
interact
with
autonomous
drones.
paper
presents
a
drone-based
system
for
operations
can
through
sound,
lights,
graphical
user
interface.
We
use
interviews
stakeholders
collected
two
field
trials
explore
perceptions
interaction
collaboration
Our
result
shows
that
perceived
visual
as
adequate.
However,
audio
instructions
interfaces,
information
overload
emerges
an
essential
problem.
The
potential
current
work
configurations
may
involve
shifting
position
humans
closer
supervisory
decision-makers
changing
training
structure
content.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS),
Journal Year:
2023,
Volume and Issue:
unknown, P. 2182 - 2188
Published: March 17, 2023
The
world
has
altered
since
the
World
Health
Organization
(WHO)
designated
(COVID-19)
a
worldwide
epidemic.
Everything
in
society,
from
professions
to
routines,
shifted
accommodate
new
reality.
warns
that
future
pandemics
of
infectious
diseases
are
likely
and
people
should
be
ready
for
worst.
Therefore,
this
study
presents
framework
tracking
monitoring
COVID-19
using
Deep
Learning
(DL)
perfect.
suggested
utilises
UAVs
(such
as
quadcopter
or
drone)
equipped
with
artificial
intelligence
(AI)
Internet
Things
(IoT)
keep
an
eye
on
combat
spread
COVID-19.
AI/IoT
nursing
drone-based
IoT
scheme
sterilisation
make
up
bulk
infrastructure.
proposed
solution
is
based
use
current
camera
installed
face-shield
helmet
emergency
situations
like
pandemics.
developed
AI
algorithm
processes
thermal
images
have
been
detected
multi-scale
similar
convolution
blocks
(MPCs)
Res
trained
residual
learning.
When
infected
cases
detected,
helmet's
embedded
system
can
trigger
drone
intervene.
population
eradicated
help
drone's
process.
undergoes
experimental
evaluation,
findings
presented.
outline
delivers
novel
well-organized
arrangement
combating
additional
epidemics,
evidenced
by
results
