A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
International Journal of Multimedia Information Retrieval,
Год журнала:
2023,
Номер
12(2)
Опубликована: Авг. 23, 2023
Язык: Английский
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery,
Год журнала:
2023,
Номер
14(1)
Опубликована: Ноя. 7, 2023
Abstract
The
sixth
generation
(6G)
represents
the
next
evolution
in
wireless
communication
technology
and
is
currently
under
research
development.
It
expected
to
deliver
faster
speeds,
reduced
latency,
greater
capacity
compared
current
5G
technology.
6G
envisioned
as
a
capable
of
establishing
fully
data‐driven
network,
proficient
analyzing
optimizing
end‐to‐end
behavior
handling
massive
volumes
real‐time
data
at
rates
up
terabits
per
second
(Tb/s).
Moreover,
designed
accommodate
an
average
1000+
substantial
connections
person
over
course
decade.
concept
network
introduces
new
service
paradigm,
which
offers
fresh
opportunities
for
applications
within
design
future.
This
paper
aims
provide
survey
existing
that
are
based
on
deep
learning
techniques.
also
explores
potential,
essential
technologies,
scenarios,
challenges,
related
topics
associated
with
6G.
These
aspects
crucial
meeting
requirements
development
future
intelligent
networks.
Furthermore,
this
work
delves
into
various
gaps
between
remain
unexplored.
Different
potential
networks,
including
privacy,
security,
environmentally
friendly
communication,
sustainability,
applications,
discussed.
Additionally,
we
shed
light
challenges
trends
field.
article
categorized
under:
Technologies
>
Computational
Intelligence
Fundamental
Concepts
Data
Knowledge
Explainable
AI
Machine
Learning
Язык: Английский
High-Speed Network DDoS Attack Detection: A Survey
Sensors,
Год журнала:
2023,
Номер
23(15), С. 6850 - 6850
Опубликована: Авг. 1, 2023
Having
a
large
number
of
device
connections
provides
attackers
with
multiple
ways
to
attack
network.
This
situation
can
lead
distributed
denial-of-service
(DDoS)
attacks,
which
cause
fiscal
harm
and
corrupt
data.
Thus,
irregularity
detection
in
traffic
data
is
crucial
detecting
malicious
behavior
network,
essential
for
network
security
the
integrity
modern
Cyber–Physical
Systems
(CPS).
Nevertheless,
studies
have
shown
that
current
techniques
are
ineffective
at
DDoS
attacks
on
networks,
especially
case
high-speed
networks
(HSN),
as
latter
very
complex
due
their
fast
packet
processing.
review
aims
study
compare
different
approaches
using
machine
learning
(ML)
such
k-means,
K-Nearest
Neighbors
(KNN),
Naive
Bayes
(NB)
used
intrusion
systems
(IDSs)
flow-based
IDSs,
expresses
paths
filtering
HSN
performance.
highlights
accuracy
evaluation
factors,
detailed
taxonomy,
classifies
techniques.
Moreover,
existing
literature
inspected
through
qualitative
analysis,
respect
factors
extracted
from
presented
taxonomy
irregular
pattern
detection.
Different
research
directions
suggested
support
researchers
identifying
designing
optimal
solution
by
highlighting
issues
challenges
networks.
Язык: Английский
Geospatial Analysis and Environmental Research in Maritime Studies
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 313 - 362
Опубликована: Апрель 18, 2025
This
chapter
explores
the
pivotal
role
of
geospatial
analysis
in
advancing
maritime
environmental
research,
emphasizing
its
transformative
impact
on
both
scientific
understanding
and
policy
formulation.
By
integrating
advanced
tools
such
as
Geographic
Information
Systems
(GIS),
remote
sensing,
satellite
imagery,
technologies
enable
precise
monitoring
management
marine
ecosystems,
biodiversity,
changes.
The
application
these
spans
critical
areas
including
spatial
planning,
climate
change
mitigation,
pollution
monitoring,
sustainable
resources.
also
highlights
significance
data
supporting
international
collaboration
data-sharing
efforts
for
global
conservation.
Furthermore,
it
underscores
challenges
limitations
inherent
issues
accuracy,
resolution,
accessibility
or
politically
restricted
regions.
Язык: Английский
Deconstructing Deception: The Legal, Ethical, and Technological Nexus of Deepfakes in G7 Business Practices
Опубликована: Янв. 1, 2025
Язык: Английский
Applying machine learning enabled myriad fragment empirical modes in 5G communications to detect profile injection attacks
Wireless Networks,
Год журнала:
2023,
Номер
30(6), С. 5533 - 5546
Опубликована: Март 14, 2023
Язык: Английский
AI and Language
Advances in human services and public health (AHSPH) book series,
Год журнала:
2024,
Номер
unknown, С. 181 - 212
Опубликована: Дек. 11, 2024
Artificial
Intelligence
(AI)
has
significantly
transformed
communication
within
the
health
and
wellness
industry.
This
transformation
not
only
enhanced
healthcare
delivery
but
also
empowered
individuals
with
tools
resources
that
facilitate
proactive,
personalized
management.
Through
language-based
AI
applications
like
chatbots,
voice
assistants,
Natural
Language
Processing
(NLP)
algorithms,
providers
can
offer
seamless
patient
experiences,
enhance
accessibility,
support
decision-making.
Additionally,
these
AI-driven
help
break
language
barriers,
foster
engagement,
encourage
healthy
lifestyle
choices.
chapter
delves
into
mechanisms,
applications,
implications
of
in
reshaping
wellness,
analyzing
ethical,
practical,
social
facets
this
Язык: Английский
A Novel Approach of Optimal Signal Streaming Analysis Implicated Supervised Feedforward Neural Networks
IET Signal Processing,
Год журнала:
2024,
Номер
2024(1)
Опубликована: Янв. 1, 2024
The
analysis
and
interpretation
of
enormous
amounts
data
generated
by
5G
networks
present
several
challenges
related
to
noise,
precision,
feasibility
validation.
Therefore,
this
study
aims
evaluate
the
effectiveness
channel
equalisation
in
network
enhance
it
distributing
signals
over
all
subcarriers
symbols.
error‐free
signal
received
ensures
reliable
transmission
connection.
These
simulations
were
undertaken
fulfil
needs
adapt
properties
according
specific
conditions
channel.
dataset
consists
artificially
radio
waves
train
through
neural
(NNs)
machine
learning
algorithms
detect
errors
properly.
primary
objective
is
achieve
optimal
performance.
In
regard,
an
artificial
(ANN)
was
initially
employed,
explicitly
utilising
back‐propagation
technique
a
feedforward
multilayer
perceptron
(MLP).
addition,
subjected
using
real‐time
simulator,
employing
support
vector
(SVM)
validate
proposed
methodology.
Feedforward
MLP
achieved
highest
performance
compared
SVM.
scheme
promising
real‐time.
Язык: Английский
Evaluating the Efficiency of Non-Orthogonal MU-MIMO Methods in Smart Cities Technologies & 5G Communication
Sustainability,
Год журнала:
2022,
Номер
15(1), С. 236 - 236
Опубликована: Дек. 23, 2022
Many
cutting-edge
technologies,
such
as
MIMO,
cognitive
radio,
multi-carrier
modulation,
and
network
coding,
have
been
proposed
for
wireless
communication
to
satisfy
needs
a
higher
data
rate
in
the
upcoming
time,
leading
improved
quality
of
service
(QoS)
regardless
weather.
Orthogonal
non-orthogonal
multiple
access
techniques
are
two
categories
into
which
technologies
can
be
subdivided.
Large
networking
with
effective
implementation
devices
is
supported
by
techniques.
Massive
NOMA
has
implemented
advance
efficiency
permitting
several
users
share
similar
spectrum.
Because
robust
co-channel
interference
between
mobile
presented
NOMA,
it
offers
important
tasks
system
model
resources
management.
In
this
study,
additional
sets
demanding
codes
explored.
Multi-user
shared
methods
expanded
multi-user
(EMUSA)
both
employed.
MUSA
technique,
an
algorithm
used
allocation
achieve
minimum
intercorrelation
maximum
extent
5G
networks.
A
novel
idea
paper
create
complex
starting
from
PN
(i.e.,
ePN),
thereby
achieving
promising
results
overall
performance.
The
first
part
describes
fundamental
principles
MUSA,
next
main
technique
will
studied
detail.
Using
Monte-Carlo
MATLAB
simulation,
performance
suggested
approach
assessed
terms
BER
vs.
SNR.
evaluated
various
settings,
outcomes
contrasted
those
traditional
CDMA
using
parameters,
number
active
antennas
at
receiver.
Язык: Английский