Advances in computer and electrical engineering book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 283 - 312
Published: Dec. 6, 2024
The
integration
of
Cyber-Physical
Systems
(CPS)
into
critical
infrastructure
demands
optimization
techniques
that
ensure
both
high
performance
and
privacy
preservation.
This
paper
presents
the
Privacy-Preserving
Hybrid
Bee-Evolutionary
Optimization
Algorithm
(PP-BEOA),
a
novel
variant
nature-inspired
tailored
for
CPS
applications.
PP-BEOA
synergizes
exploratory
capabilities
Artificial
Bee
Colony
(ABC)
algorithms
with
exploitative
strength
Genetic
Algorithms
(GA),
enhanced
by
advanced
differential
mechanisms
secure
multi-party
computation
to
safeguard
sensitive
data.
Machine
learning-driven
parameter
adjustments
further
improve
adaptability
robustness
in
dynamic
environments.
Comprehensive
evaluations
demonstrate
effectiveness
PP-BEOA,
showcasing
superior
results
scalability,
real-time
optimization,
resilience
compared
traditional
approaches.
affirm
PP-BEOA's
potential
as
transformative
approach
addressing
complex
challenges.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(3), P. 1639 - 1639
Published: Feb. 2, 2023
Given
its
advantages
in
low
latency,
fast
response,
context-aware
services,
mobility,
and
privacy
preservation,
edge
computing
has
emerged
as
the
key
support
for
intelligent
applications
5G/6G
Internet
of
things
(IoT)
networks.
This
technology
extends
cloud
by
providing
intermediate
services
at
network
improving
quality
service
latency-sensitive
applications.
Many
AI-based
solutions
with
machine
learning,
deep
swarm
intelligence
have
exhibited
high
potential
to
perform
cognitive
sensing,
management,
big
data
analytics,
security
enhancement
edge-based
smart
Despite
many
benefits,
there
are
still
concerns
about
required
capabilities
deal
computational
complexity
learning
techniques
IoT
analytics.
Resource
constraints
computing,
distributed
efficient
orchestration,
synchronization
resources
all
factors
that
require
attention
improvement
cost-effective
development
In
this
context,
paper
aims
explore
confluence
AI
application
domains
order
leverage
existing
research
around
these
identify
new
perspectives.
The
improves
user
experience
emergency
situations,
such
vehicles,
where
critical
inaccuracies
or
delays
can
lead
damage
accidents.
These
same
most
studies
used
evaluate
success
an
application.
review,
we
first
provide
in-depth
analysis
state
art
a
focus
on
eight
areas:
agriculture,
environment,
grid,
healthcare,
industry,
education,
transportation,
privacy.
Then,
present
qualitative
comparison
emphasizes
main
objective
confluence,
roles
use
artificial
edge,
enabling
technologies
open
challenges,
future
directions,
perspectives
identified
discussed.
Finally,
some
conclusions
drawn.
Archives of Computational Methods in Engineering,
Journal Year:
2022,
Volume and Issue:
30(3), P. 1979 - 2012
Published: Dec. 20, 2022
Abstract
The
article
reviewed
the
four
major
Bioinspired
intelligent
algorithms
for
agricultural
applications,
namely
ecological,
swarm-intelligence-based,
ecology-based,
and
multi-objective
algorithms.
key
emphasis
was
placed
on
variants
of
swarm
intelligence
algorithms,
artificial
bee
colony
(ABC),
genetic
algorithm,
flower
pollination
algorithm
(FPA),
particle
swarm,
ant
colony,
firefly
fish
Krill
herd
because
they
had
been
widely
employed
in
sector.
There
a
broad
consensus
among
scholars
that
certain
BIAs'
were
more
effective
than
others.
For
example,
Ant
Colony
Optimization
Algorithm
best
suited
farm
machinery
path
optimization
pest
detection,
other
applications.
On
contrary,
useful
determining
plant
evapotranspiration
rates,
which
predicted
water
requirements
irrigation
process.
Despite
promising
adoption
hyper-heuristic
agriculture
remained
low.
No
universal
could
perform
multiple
functions
farms;
different
designed
to
specific
functions.
Secondary
concerns
relate
data
integrity
cyber
security,
considering
history
cyber-attacks
smart
farms.
concerns,
benefits
associated
with
BIAs
outweighed
risks.
average,
farmers
can
save
647–1866
L
fuel
is
equivalent
US$734-851,
use
GPS-guided
systems.
accuracy
mitigated
risk
errors
applying
pesticides,
fertilizers,
irrigation,
crop
monitoring
better
yields.
Current Research in Biotechnology,
Journal Year:
2022,
Volume and Issue:
4, P. 138 - 151
Published: Jan. 1, 2022
Big
data
is
transforming
biomedical
research
by
integrating
massive
amounts
of
from
laboratory
experiments,
clinical
investigations,
healthcare
records,
and
the
internet
things.
Specifically,
increasing
rate
at
which
information
obtained
omics
technologies
(genomics,
epigenomics,
transcriptomics,
proteomics,
metabolomics,
pharmacogenomics)
providing
an
opportunity
for
future
advances
in
personalized
medicine
that
are
paving
way
to
improved
patient
care.
The
recent
profoundly
contributing
big
biomedicine
anticipated
aid
disease
diagnosis
care
management.
Herein,
we
critically
review
major
computational
techniques,
algorithms,
their
outcomes
have
contributed
generated
various
complex
human
diseases,
such
as
cancer
infectious
diseases.
Finally,
discuss
trends
field
directions
must
be
considered
advance
influence
on
its
translation
industry.
International Journal of Computational and Experimental Science and Engineering,
Journal Year:
2024,
Volume and Issue:
10(4)
Published: Nov. 25, 2024
The
rapid
growth
of
big
data
has
created
a
pressing
need
for
advanced
predictive
modeling
techniques
that
can
efficiently
extract
meaningful
insights
from
massive,
complex
datasets.
This
study
explores
deep
computational
intelligence
approaches
to
enhance
in
environments,
focusing
on
the
integration
learning,
swarm
intelligence,
and
hybrid
optimization
techniques.
proposed
framework
employs
Deep
Neural
Network
(DNN)
enhanced
with
Particle
Swarm
Optimization
(PSO)
Adaptive
Gradient
Descent
(AGD)
dynamic
parameter
tuning,
leading
improved
learning
efficiency
accuracy.
is
evaluated
real-world
applications,
including
healthcare
diagnostics,
financial
risk
prediction,
energy
consumption
forecasting.
Experimental
results
demonstrate
significant
improvement
model
performance,
an
accuracy
97.8%
precision
95.2%
mean
absolute
percentage
error
(MAPE)
3.4%
Additionally,
approach
achieves
35%
reduction
overhead
compared
traditional
DNNs
28%
convergence
speed
due
optimization.
work
highlights
potential
integrating
analytics
achieve
robust,
scalable,
efficient
modeling.
Future
research
will
focus
extending
accommodate
real-time
streams
exploring
its
applicability
across
other
domains.
Expert Opinion on Drug Delivery,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 8, 2024
Applying
artificial
intelligence
(AI)
to
nanomedicine
has
greatly
increased
the
production
of
specially
engineered
nanoscale
materials
for
tailored
medicine,
marking
a
significant
advancement
in
healthcare.
With
use
AI,
researchers
can
search
through
massive
databases
and
find
nano-properties
that
support
range
therapeutic
objectives,
eventually
producing
safer,
customized
nanomaterials.
AI
analyzes
patient
data,
including
clinical
genetic
information,
predict
results
individualized
care
makes
recommendations
therapy
improvement.
Furthermore,
logically
creates
nanocarriers
give
precise
controlled
drug
release
patterns
optimize
advantages
minimize
undesirable
side
effects.
Even
though
lot
potential
nanomedicine,
there
are
still
issues
data
integration
techniques,
moral
dilemmas,
requirement
governmental
backing.
Future
developments
tools
multidisciplinary
cooperation
between
scientists
with
expertise
biological
sciences
nanoengineering
essential
nanomedicine.
Together,
these
disciplines
propel
advancements
precision
contributing
ultimate
objective—a
future
which
combine
provide
really
The
authors
this
editorial
encourage
call
on
scientists,
physicians,
legislators
acknowledge
its
transform
treatment.
AIChE Journal,
Journal Year:
2023,
Volume and Issue:
69(4)
Published: Jan. 10, 2023
Abstract
Environmental
and
health
risks
posed
by
microplastics
(MPs)
have
spurred
numerous
studies
to
better
understand
MPs'
properties
behavior.
Yet,
we
still
lack
a
comprehensive
understanding
due
MP's
heterogeneity
in
complexity
of
plastic
property
evolution
during
aging
processes.
There
is
an
urgent
need
thoroughly
the
behavior
MPs
as
there
increasing
evidence
adverse
environmental
effects.
In
this
perspective,
propose
integrated
chemical
engineering
approach
improve
our
MPs.
The
merges
artificial
intelligence,
theoretical
methods,
experimental
techniques
integrate
existing
data
into
models
MPs,
investigate
unknown
features
identify
future
areas
research.
breadth
engineering,
which
spans
biological,
computational,
materials
sciences,
makes
it
well‐suited
comprehensively
characterize
Ultimately,
perspective
charts
path
for
cross‐disciplinary
collaborative
research
address
issue
MP
pollution.
Biomimetics,
Journal Year:
2023,
Volume and Issue:
8(4), P. 373 - 373
Published: Aug. 17, 2023
There
is
no
doubt
that
the
involvement
of
Internet
Things
(IoT)
in
our
daily
lives
has
changed
way
we
live
and
interact
as
a
global
community,
IoT
enables
intercommunication
digital
objects
around
us,
creating
pervasive
environment.
As
now,
this
found
almost
every
domain
vital
for
human
survival,
such
agriculture,
medical
care,
transportation,
military,
so
on.
Day
by
day,
various
solutions
are
introduced
to
market
manufacturers
towards
making
life
easier
more
comfortable.
On
other
hand,
even
though
now
holds
key
place
lives,
ecosystem
limitations
efficiency,
scalability,
adaptability.
such,
biomimicry,
which
involves
imitating
systems
nature
within
human-made
systems,
appeared
be
potential
remedy
overcome
challenges
pertaining
IoT,
can
also
referred
bio-inspired
IoT.
In
simplest
terms,
combines
nature-inspired
principles
create
efficient
adaptive
solutions,
most
inherent
traditional
It
based
on
idea
already
solved
many
challenging
problems
that,
studying
mimicking
biological
might
develop
better
systems.
concept
applied
fields
cyber-security,
However,
it
noted
only
few
studies
have
been
carried
out
new
concept,
explaining
how
these
concepts
integrated
with
Thus,
fill
gap,
study,
provide
brief
review
highlighting
came
into
play,
its
ecosystem,
latest
status,
benefits,
challenges,
future
directions.
ACS Applied Electronic Materials,
Journal Year:
2023,
Volume and Issue:
5(9), P. 5249 - 5256
Published: Sept. 13, 2023
In-memory
computing
enables
fast
and
low
power
consumption
by
overcoming
major
drawbacks
of
traditional
computers
built
with
a
von
Neumann
architecture.
In
memristor,
multilevel
storage
history-dependent
conductivity
modulation
characteristics
allow
us
to
store
the
information
simulate
synaptic
behaviors
mimic
biological
brain.
this
work,
role
interfacial
layers
has
been
investigated
in
suppression
charge
transfer
barrier
Dion-Jacobson
hybrid
perovskite-based
memristor
devices.
The
insertion
between
active
layer
electrodes
(ITO/PEDOT:PSS/Active
layer/PMMA/Ag)
improves
ON/OFF
ratio
(103),
data
endurance
(102),
retention
(>6000
s)
for
nonvolatile
applications
3-(aminomethyl)
piperidinium
(3AMP)
organic
spacer
cation-based
presence
reduces
SET
voltage
0.33
V
energy
an
estimated
value
∼26
nJ.
A
mathematical
model
is
presented
fitted
experimental
understand
formation/rupture
conducting
filament
resistive
switching
mechanism.
Neuromorphic
properties
like
learning
forgetting
nature
device
(potentiation
depression),
inhibitory
postsynaptic
current,
spike
number
dependent
plasticity,
paired
pulse
facilitation
index
are
also
systematically
presented.
Thus,
potential
human
brain
processes
these
memristors
profound
implications
artificial
intelligence,
robotics,
brain-machine
interfaces,
shaping
future
cognitive
AI-driven
technologies.
