SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
paper
proposes
a
composite
strategy
for
solving
linear
fractional
programming
problems
in
an
imprecise
environment.
To
manage
the
uncertainties
and
imprecisions
associated
with
real-world
decision-making
situations,
efficiently
combines
benefits
of
both
fuzzy
techniques.
The
suggested
method
uses
methodology
to
fuzzify
right-hand
value
constraints,
then
obtain
best
outcome.
Defuzzification
is
utilized
converting
dilemma
into
precise
problem,
which
solved
using
strategies.
effectiveness
resolving
complicated
issues
environments
shown
through
case
study.
results
indicate
that
approach
can
provide
robust
efficient
solution
variety
decision-making.
International Journal of Advanced Computer Science and Applications,
Год журнала:
2024,
Номер
15(7)
Опубликована: Янв. 1, 2024
In
the
coming
half-century,
autonomous
vehicles
will
share
roads
alongside
manually
operated
automobiles,
leading
to
ongoing
interactions
between
two
categories
of
vehicles.
The
advancement
driving
systems
has
raised
importance
real-time
decision-making
abilities.
Edge
computing
plays
a
crucial
role
in
satisfying
this
requirement
by
bringing
computation
and
data
processing
closer
source,
reducing
delay,
enhancing
overall
efficiency
This
paper
explores
core
principles
edge
computing,
emphasizing
its
capability
handle
close
origin.
study
focuses
on
issues
network
reliability,
safety,
scalability,
resource
management.
It
offers
insights
into
strategies
technology
that
effectively
these
challenges.
Case
studies
demonstrate
practical
implementations
highlight
real-world
benefits
processes
for
Furthermore,
outlines
upcoming
trends
examines
emerging
technologies
such
as
artificial
intelligence,
5G
connectivity,
innovative
architectures.
Decision Analytics Journal,
Год журнала:
2023,
Номер
8, С. 100294 - 100294
Опубликована: Июль 29, 2023
Surface
Electromyography
(sEMG)
is
a
technique
for
measuring
muscle
activity
by
recording
electrical
signals
from
the
surface
of
body.
It
widely
used
in
fields
such
as
medical
diagnosis,
human–computer
interaction,
and
sports
injury
rehabilitation.
The
detection
onset
offset
activation
longstanding
challenge
sEMG
analysis.
This
study
pioneers
implementation,
configuration,
evaluation
Particle
Swarm
Optimization
(PSO)
against
other
optimization
algorithms
signal
detection,
including
Genetic
(GA),
Simulated
Annealing
(SA),
Ant
Colony
(ACO),
Tabu
Search
(TS).
results
show
that
PSO
algorithm
achieves
highest
median
accuracy
F1-Score
fastest
among
selected
but
has
lower
stability
compared
to
colony
optimization.
design
value
cost
function
had
significant
impact
on
results,
with
optimal
obtained
when
was
between
0.1203
0.1384.
use
these
improved
efficiency
reduced
need
manual
parameter
adjustment.
To
best
our
knowledge,
no
published
studies
have
utilized
Annealing,
optimization,
search
meta-heuristic
detect
onsets.
International Journal of Advanced Computer Science and Applications,
Год журнала:
2024,
Номер
15(5)
Опубликована: Янв. 1, 2024
Population
growth
and
urbanization
demand
innovative
strategies
for
sustainable
city
management.
This
paper
focuses
on
the
integration
of
Internet
Things
(IoT)
image
processing
technologies
environmental
monitoring
in
urban
development.
The
IoT
forms
an
integral
part
Information
Communication
Technology
(ICT)
infrastructure
smart
cities.
It
offers
a
new
model
design,
due
to
ability
offer
environmentally
alternatives.
Furthermore,
is
method
employed
computer
vision
that
provides
reliable
approaches
extracting
significant
data
from
images.
convergence
these
has
capacity
enhance
effectiveness
durability
our
surroundings.
discusses
current
state-of-the-art
both
processing,
highlighting
their
individual
applications,
architectures,
challenges.
explores
aforementioned
harmonized
system
promote
synergies
complementarities.
Several
case
studies
demonstrate
successful
adoption
approach
contexts,
focusing
monitoring,
energy
management,
transportation,
social
well-being.
combination
with
raises
concerns
regarding
privacy,
standardization,
scalability.
study
provided
direction
future
research
suggested
more
participant
multiple-strategy
could
be
beneficial
address
some
existing
limitations
move
toward
context.
should
therefore
viewed
as
compass
or
roadmap
areas
processing-based
towards
todays
environments.
International Journal of Advanced Computer Science and Applications,
Год журнала:
2024,
Номер
15(5)
Опубликована: Янв. 1, 2024
Task
scheduling
in
cloud
computing
is
a
complex
optimization
problem
influenced
by
the
ever-changing
user
requirements
and
different
architectures
of
systems.
Efficiently
distributing
workloads
across
Virtual
Machines
(VMs)
critical
to
mitigate
negative
consequences
inadequate
excessive
workloads,
such
as
higher
power
consumption
possible
machine
malfunctions.
This
paper
presents
novel
method
for
dynamic
load
balancing
using
Modified
Artificial
Bee
Colony
(MABC)
algorithm.
The
ABC
algorithm
has
exceptional
competence
solving
nonlinear
problems
based
on
bee
colonies'
foraging
behavior.
Nevertheless,
traditional
version
cannot
effectively
use
resources,
resulting
rapid
decline
population
diversity
an
ineffective
spread
knowledge
about
best
solution
between
generations.
To
address
these
limitations,
this
study
integrates
genetic
model
into
algorithm,
enhancing
through
crossover
mutation
operators.
developed
compared
with
prevailing
algorithms
confirm
its
effectiveness.
results
proposed
MABC
are
current
ones,
it
observed
that
more
beneficial
terms
cost
energy
well
resource
utilization.
