arXiv (Cornell University),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
Steganography
and
steganalysis
are
two
interrelated
aspects
of
the
field
information
security.
seeks
to
conceal
communications,
whereas
is
aimed
either
find
them
or
even,
if
possible,
recover
data
they
contain.
have
attracted
a
great
deal
interest,
particularly
from
law
enforcement.
often
used
by
cybercriminals
even
terrorists
avoid
being
captured
while
in
possession
incriminating
evidence,
encrypted,
since
cryptography
prohibited
restricted
many
countries.
Therefore,
knowledge
cutting-edge
techniques
uncover
concealed
crucial
exposing
illegal
acts.
Over
last
few
years,
number
strong
reliable
steganography
been
introduced
literature.
This
review
paper
provides
comprehensive
overview
deep
learning-based
detect
hidden
within
digital
media.
The
covers
all
types
cover
steganalysis,
including
image,
audio,
video,
discusses
most
commonly
learning
techniques.
In
addition,
explores
use
more
advanced
techniques,
such
as
transfer
(DTL)
reinforcement
(DRL),
enhance
performance
systems.
systematic
recent
research
field,
sets
evaluation
metrics
studies.
It
also
presents
detailed
analysis
DTL-based
approaches
their
on
different
sets.
concludes
with
discussion
current
state
challenges,
future
directions.
Systems,
Год журнала:
2023,
Номер
11(8), С. 400 - 400
Опубликована: Авг. 2, 2023
The
growing
interest
in
unmanned
aerial
vehicles
(UAVs)
from
both
the
scientific
and
industrial
sectors
has
attracted
a
wave
of
new
researchers
substantial
investments
this
expansive
field.
However,
due
to
wide
range
topics
subdomains
within
UAV
research,
newcomers
may
find
themselves
overwhelmed
by
numerous
options
available.
It
is
therefore
crucial
for
those
involved
research
recognize
its
interdisciplinary
nature
connections
with
other
disciplines.
This
paper
presents
comprehensive
overview
field,
highlighting
recent
trends
advancements.
Drawing
on
literature
reviews
surveys,
review
begins
classifying
UAVs
based
their
flight
characteristics.
then
provides
an
current
UAVs,
utilizing
data
Scopus
database
quantify
number
documents
associated
each
direction
interconnections.
also
explores
potential
areas
further
development
including
communication,
artificial
intelligence,
remote
sensing,
miniaturization,
swarming
cooperative
control,
transformability.
Additionally,
it
discusses
aircraft
commonly
used
control
techniques,
appropriate
algorithms
research.
Furthermore,
addresses
general
hardware
software
architecture
applications,
key
issues
them.
open
source
projects
By
presenting
view
aims
enhance
our
understanding
rapidly
evolving
highly
area
Systems,
Год журнала:
2023,
Номер
11(10), С. 519 - 519
Опубликована: Окт. 17, 2023
Artificial
intelligence
(AI)
has
significantly
impacted
thyroid
cancer
diagnosis
in
recent
years,
offering
advanced
tools
and
methodologies
that
promise
to
revolutionize
patient
outcomes.
This
review
provides
an
exhaustive
overview
of
the
contemporary
frameworks
employed
field,
focusing
on
objective
AI-driven
analysis
dissecting
across
supervised,
unsupervised,
ensemble
learning.
Specifically,
we
delve
into
techniques
such
as
deep
learning,
artificial
neural
networks,
traditional
classification,
probabilistic
models
(PMs)
under
supervised
With
its
prowess
clustering
dimensionality
reduction,
unsupervised
learning
(USL)
is
explored
alongside
methods,
including
bagging
potent
boosting
algorithms.
The
datasets
(TCDs)
are
integral
our
discussion,
shedding
light
vital
features
elucidating
feature
selection
extraction
critical
for
diagnostic
systems.
We
lay
out
standard
assessment
criteria
regression,
statistical,
computer
vision,
ranking
metrics,
punctuating
discourse
with
a
real-world
example
detection
using
AI.
Additionally,
this
study
culminates
analysis,
current
limitations
delineating
path
forward
by
highlighting
open
challenges
prospective
research
avenues.
Through
comprehensive
exploration,
aim
offer
readers
panoramic
view
AI’s
transformative
role
diagnosis,
underscoring
potential
pointing
toward
optimistic
future.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 73980 - 74010
Опубликована: Янв. 1, 2024
Indoor
localization
(IL)
is
a
significant
topic
of
study
with
several
practical
applications,
particularly
in
the
context
Internet
Things
(IoT)
and
smart
cities.
The
area
IL
has
evolved
greatly
recent
years
due
to
introduction
numerous
technologies
such
as
WiFi,
Bluetooth,
cameras,
other
sensors.
Despite
growing
interest
this
field,
there
are
challenges
drawbacks
that
must
be
addressed
develop
more
accurate
sustainable
systems
for
IL.
This
review
gives
an
in-depth
look
into
IL,
covering
most
promising
artificial
intelligence-based
hybrid
strategies
have
shown
excellent
potential
overcoming
some
limitations
classic
methods
within
IoT
environments.
In
addition,
paper
investigates
significance
high-quality
datasets
evaluation
metrics
design
assessment
algorithms.
Furthermore,
overview
emphasizes
crucial
role
machine
learning
techniques,
deep
transfer
learning,
play
advancement
A
focus
on
importance
various
technologies,
methods,
techniques
being
used
improve
it.
Finally,
survey
highlights
need
continued
research
development
create
scalable
can
applied
across
range
IoT-related
industries,
evacuation-egress
routes,
hazard-crime
detection,
occupancy-driven
energy
reduction
asset
tracking
management.
Abstract
As
the
“Internet
of
Medical
Things
(IoMT)”
grows,
healthcare
systems
can
collect
and
process
data.
It
is
also
challenging
to
study
public
health
prevention
requirements.
Virus
transmission
be
prevented
by
wearing
a
mask.
The
World
Health
Organization
(WHO)
recommends
facemask
protect
against
COVID‐19
pandemic—the
levels
pandemic
rise
across
almost
all
regions
world.
By
following
WHO
rules,
we
support
development
face
mask‐detecting
technologies
determine
whether
or
not
people
are
using
masks
in
locations.
proposed
paradigm
this
paper
will
work
three
stages.
Firstly,
use
an
Image
data
generator
import
images.
In
addition
Haar
cascade
(HC)
classifier
for
detecting
faces,
residual
learning
(ResNet152V2)
trains
model
that
detects
someone
Detection
classification
carried
out
real‐time
with
high
precision.
Compared
other
recently
methods,
achieved
99.65%
accuracy
during
training
99.63%
validation.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 43291 - 43307
Опубликована: Янв. 1, 2024
This
work
explores
the
crucial
roles
that
control
theory
and
digital
twins
play
in
enhancing
performance
of
underactuated
quadrotor
unmanned
aerial
vehicles
(QUAVs).
It
describes
how
novel
idea
combined
with
could
alter
operations.
Some
basic
ideas,
such
as
UAV
model,
various
schemes,
innovative
techniques
to
improve
autonomy
QUAV
missions
dynamic
circumstances,
may
also
be
interest
readers.
highlights
recent
developments
presents
a
game-changing
combining
twin
computer
vision,
amalgamating
artificial
intelligence
internet
things
like
elements
sensing
perception
better
for
autonomous
flight
control,
human-UAV
interaction,
energy-efficient
flight,
swarming
UAVs.
The
reader
finally
find
suggestions
applying
understandings
incorporating
technology
boost
its
revolutionary
potential.
e-Prime - Advances in Electrical Engineering Electronics and Energy,
Год журнала:
2023,
Номер
5, С. 100266 - 100266
Опубликована: Авг. 31, 2023
Osteoarthritis
of
the
knee,
also
known
as
OA
has
been
determined
that
osteoarthritis
knee
is
leading
cause
activity
limitations
and
development
disability,
particularly
in
people
who
are
older.
The
utilisation
artificial
intelligence
(AI)
methodologies
grounded
deep
learning
(DL)
yielded
promising
outcomes
realm
radiographic
interpretation.
healthcare
industry
remarkable
elevated
benchmark
for
quality
medical
treatment.
This
study
used
a
clinical
scenario
to
compare
twelve
transfer
DL
models
detecting
grade
KOA
from
radiograph,
compared
their
accuracy,
best
model
KOA.
exhibited
range
30%
98%
It
was
MobileNet
responsible
highest
level
which
came
at
98.36%.
high
training
validation
accuracy.
maximum
loss
observed
EfficientNetB7.
approaches
created
by
skilled
radiologists
orthopaedic
specialists
could
help
smaller
hospitals
learn
make
more
emergency
room.
would
be
especially
helpful
situations
when
personnel
may
not
available.
