Advances in systems analysis, software engineering, and high performance computing book series,
Journal Year:
2023,
Volume and Issue:
unknown, P. 226 - 260
Published: June 16, 2023
Artificial
Neural
Networks
(ANNs)
are
becoming
increasingly
important
in
the
present
technological
era
due
to
their
ability
solve
complex
problems,
adapt
new
inputs,
and
improve
decision-skills
for
different
domains.
The
human
brain
serves
as
a
model
(ANNs),
type
of
machine
learning,
reference
both
structure
function.
existing
work
on
ANNs
supports
tasks,
such
regression,
classification
pattern
recognition
separately.
discussion
aims
at
resolving
above
highlighted
issues
related
various
ANN
architectural
implementations,
considering
dynamic
function
exchange
feature
FPGAs.
With
aid
Zynq
SOC,
CNN
DNN
architectures
designed
its
Processing
System,
is
accelerated
using
Programmable
Logic.
It
also
solves
trojans
design
files,
by
introducing
cryptography
within
accelerator.
Distributed
systems
have
become
a
tremendous
technological
force
that
could
revolutionize
company
operations
while
advancing
ethics
and
boosting
governance.
can
enable
new
business
models,
lower
costs,
boost
efficiency
by
utilizing
the
advantages
of
decentralization,
transparency,
security.
Organizations
further
ensure
distributed
are
exploited
in
responsible
long-lasting
manner
putting
ethical
governance
procedures
place.
The
main
ideas
uses
corporate
development,
ethics,
summarized
this
review
chapter.
It
defines
systems,
examines
their
key
characteristics,
discusses
benefits
using
these
development.
chapter
also
explores
relevance
to
development
role
promoting
practices.
Moreover,
its
importance,
benefits,
examples
mechanisms
be
used.
challenges
limitations
associated
with
implementing
Technical
complexity,
scalability,
interoperability,
regulatory
challenges,
all
significant
concerns
must
carefully
considered
addressed.
choose
best
way
use
governance,
encourage
drive
growth
being
aware
obstacles
constraints.
In
conclusion,
adoption
has
potential
fundamentally
alter
how
companies
created,
run,
governed,
simultaneously
encouraging
moral
behavior
raising
participant
confidence.
decide
spur
growth,
advance
improve
fast-changing
world
knowing
advantages,
drawbacks,
limitations.
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(8), P. 4861 - 4861
Published: April 12, 2023
In
this
paper,
a
convolved
feature
vector
based
adaptive
fuzzy
filter
is
proposed
for
impulse
noise
removal.
The
follows
traditional
approach,
i.e.,
detection
of
noisy
pixels
on
certain
criteria
followed
by
filtering
process.
the
first
step,
mechanism
initially
selects
small
layer
input
image
pixels,
convolves
it
with
set
weighted
kernels
to
form
layer.
This
features
then
passed
inference
system,
where
membership
degrees
and
reduced
rules
play
an
important
part
classify
pixel
as
noise-free,
edge
or
noisy.
Noise-free
in
phase
remain
unaffected
causing
maximum
detail
preservation
whereas
are
restored
using
filter.
process
carried
out
traditionally
starting
from
top
left
corner
bottom
right
stride
rate
one
two
during
convolution.
Convolved
very
helpful
finding
information
hidden
patterns
that
affected
noise.
performance
study
tested
large
data
standard
measures
technique
outperforms
many
existing
state
art
techniques
excellent
effective
removal
capabilities.
Advances in computational intelligence and robotics book series,
Journal Year:
2023,
Volume and Issue:
unknown, P. 15 - 24
Published: June 30, 2023
This
chapter
provides
an
analysis
of
the
various
kinds
distracting
noise
that
can
be
seen
in
degraded
complex
images,
such
as
those
found
newspapers,
blogs,
and
websites.
A
complicated
image
had
been
deteriorated
a
result
salt
pepper
noise,
random
valued
impulse
speckle
Gaussian
amongst
others,
was
result.
There
is
extraordinarily
high
demand
for
saving
text
read
from
images
have
into
form
by
computers
later
use.
Managing
sensitive
data
and
ensuring
its
security
are
critical
components
of
modern
organizational
processes.
However,
conventional
centralized
systems
have
significant
limitations
in
transparency
security.
To
address
these
issues,
the
emergence
blockchain
technology
(BT)
distribution
(DSs)
presents
a
promising
approach.
This
chapter
aims
to
explore
potential
benefits
combining
BT
DS
enhance
management
(DM)
Initially,
it
provides
an
overview
current
state
DM
security,
emphasizing
their
importance
organizations.
The
then
delves
into
concepts
DS,
highlighting
unique
features
advantages
Moreover,
discusses
challenges
BT,
including
scalability
interoperability
weighs
disadvantages
We
analyze
DSs
enhancing
identifying
opportunities
that
arise
from
use.
Finally,
insights
future
research
directions
highlights
impact
technologies
on
serves
as
valuable
resource
for
researchers,
practitioners,
decision-makers
who
wish
possibilities
With
this
new
approach,
we
can
anticipate
with
greater
transparency,
efficiency
managing
data.
The
chapter
examines
how
DSs
might
improve
the
efficiency
of
financial
transactions
(FT)
and
procedures.
efficiency,
security,
transparency,
cost-effectiveness
FT
processes
could
be
increased
with
use
distributed
systems
(DSs),
such
as
supply
chain
(SC)
blockchain
technology
(BT).
This
provides
an
overview
procedures,
including
their
definition,
difficulties,
contemporary
solutions.
highlights
advantages
in
finance
offers
illustrations
several
contexts,
payment
processing,
digital
identity
verification,
SC
finance,
insurance.
These
systems'
implementation
problems
shortcomings
include
scalability,
interoperability,
legal
compliance,
user
acceptance.
a
comprehensive
review
traits,
advantages,
cases
BT
SC,
focus
on
applications
finance.
also
looks
at
potential
paths
difficulties
applying
to
will
helpful
resource
for
researchers,
programmers,
practitioners
who
are
interested
using
processes.
identifies
these
barriers
shows
eliminate
them
so
that
can
used
full
potential.
Advances in wireless technologies and telecommunication book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 230 - 250
Published: June 28, 2024
The
chapter
explores
the
use
of
machine
learning
(ML)
in
detecting
and
addressing
anomalies
advanced
6G
communication
systems.
It
emphasizes
drawbacks
conventional
approaches
delves
into
ML
algorithms
that
are
appropriate
for
identifying
anomalies,
such
as
clustering,
classification,
deep
learning.
study
focuses
on
difficulties
choosing
important
features
from
various
data
sources
networks,
including
network
traffic
device
behavior.
also
possible
attacks
models
suggests
ways
to
improve
their
resilience.
Exploring
integration
with
slicing
highlighting
adaptability
dynamic
virtualized
networks.
highlights
importance
ML-based
anomaly
detection
strengthening
security
areas
future
research.
Advances in wireless technologies and telecommunication book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 11
Published: June 28, 2024
6G
networks
are
the
next
frontier
in
wireless
communication,
promising
unprecedented
speeds,
lower
latencies
and
advanced
capabilities.
However,
with
greater
connectivity
comes
increased
security
risks.
This
chapter
provides
a
systematic
review
of
issues
communication
systems.
A
comprehensive
search
academic
databases
is
conducted
for
studies
published
between
2020-2023
that
examined
related
6G.
The
indicate
authentication,
privacy
trust
will
be
major
concerns
due
to
new
technologies
like
reconfigurable
intelligent
surfaces
cell
free
architectures.
Specific
vulnerabilities
include
impersonation
attacks,
side
channel
leaks,
insider
threats
from
rogue
base
stations.
End
end
encryption,
blockchain,
machine
learning
emerging
mechanisms
address
these
issues.
synthesizes
current
work
on
security,
highlights
critical
challenges
opportunities,
framework
future.
