International Journal of Renewable Energy Development,
Год журнала:
2024,
Номер
13(2)
Опубликована: Фев. 10, 2024
The
escalating
trends
in
energy
consumption
and
the
associated
emissions
of
pollutants
past
century
have
led
to
depletion
environmental
pollution.
Achieving
comprehensive
sustainability
requires
optimization
efficiency
implementation
efficient
management
strategies.
Artificial
intelligence
(AI),
a
prominent
machine
learning
paradigm,
has
gained
significant
traction
control
applications
found
extensive
utility
various
energy-related
domains.
utilization
AI
techniques
for
addressing
challenges
is
favored
due
their
aptitude
handling
complex
nonlinear
data
structures.
Based
on
preliminary
inquiries,
it
been
observed
that
predictive
analytics,
prominently
driven
by
artificial
neural
network
(ANN)
algorithms,
assumes
crucial
position
across
sectors.
This
paper
presents
bibliometric
analysis
gain
deeper
insights
into
progression
research
from
2003
2023.
models
can
be
used
accurately
predict
consumption,
load
profiles,
resource
planning,
ensuring
consistent
performance
utilization.
review
article
summarizes
existing
literature
development
systems.
Additionally,
explores
potential
areas
applying
ANN
system
management.
study
demonstrates
effectively
address
integration
issues
between
power
systems,
such
as
solar
wind
forecasting,
frequency
control,
transient
stability
assessment.
state-of-the-art
study,
inferred
consistently
reductions
exceeding
25%.
Furthermore,
this
discusses
future
directions
field.
Journal of Nanobiotechnology,
Год журнала:
2021,
Номер
19(1)
Опубликована: Май 29, 2021
Abstract
In
this
article,
we
will
describe
the
properties
of
albumin
and
its
biological
functions,
types
sources
that
can
be
used
to
produce
nanoparticles,
methods
producing
therapeutic
applications
importance
nanoparticles
in
production
pharmaceutical
formulations.
view
increasing
use
Abraxane
approval
for
treatment
several
cancer
during
final
stages
clinical
trials
other
cancers,
evaluate
it
compare
effectiveness
with
conventional
non
formulations
chemotherapy
Paclitaxel
is
paid.
examine
role
animal
proteins
Nano
medicine
various
benefits
these
biomolecules
preparation
drug
delivery
carriers
characteristics
plant
protein
cages
their
potentials
diagnosis
treatment.
Finally,
advantages
disadvantages
are
mentioned,
as
well
IEEE Access,
Год журнала:
2021,
Номер
9, С. 71194 - 71209
Опубликована: Янв. 1, 2021
Breast
cancer
(BC)
is
one
of
the
primary
causes
death
among
women.
Early
detection
BC
allows
patients
to
receive
appropriate
treatment,
thus
increasing
possibility
survival.
In
this
work,
a
new
deep-learning
(DL)
model
based
on
transfer-learning
(TL)
technique
developed
efficiently
assist
in
automatic
and
diagnosis
suspected
area
two
techniques
namely
80-20
cross-validation.
DL
architectures
are
modeled
be
problem-specific.
TL
uses
knowledge
gained
during
solving
problem
another
relevant
problem.
proposed
model,
features
extracted
from
mammographic
image
analysis-
society
(MIAS)
dataset
using
pre-trained
convolutional
neural
network
(CNN)
architecture
such
as
Inception
V3,
ResNet50,
Visual
Geometry
Group
networks
(VGG)-19,
VGG-16,
Inception-V2
ResNet.
Six
evaluation
metrics
for
evaluating
performance
terms
accuracy,
sensitivity,
specificity,
precision,
F-score,
under
ROC
curve
(AUC)
has
been
chosen.
Experimental
results
show
that
VGG16
powerful
by
classifying
mammogram
breast
images
with
overall
AUC
98.96%,
97.83%,
99.13%,
97.35%,
97.66%,
0.995,
respectively
method
98.87%,
97.27%,
98.2%,
98.84%,
98.04%,
0.993
10-fold
cross-validation
method.
IEEE Access,
Год журнала:
2021,
Номер
9, С. 50001 - 50024
Опубликована: Янв. 1, 2021
Grasshopper
Optimization
Algorithm
(GOA)
is
a
recent
swarm
intelligence
algorithm
inspired
by
the
foraging
and
swarming
behavior
of
grasshoppers
in
nature.
The
GOA
has
been
successfully
applied
to
solve
various
optimization
problems
several
domains
demonstrated
its
merits
literature.
This
paper
proposes
comprehensive
review
based
on
more
than
120
scientific
articles
published
leading
publishers:
IEEE,
Springer,
Elsevier,
IET,
Hindawi,
others.
It
provides
variants,
including
multi-objective
hybrid
variants.
also
discusses
main
applications
fields
such
as
scheduling,
economic
dispatch,
feature
selection,
load
frequency
control,
distributed
generation,
wind
energy
system,
other
engineering
problems.
Finally,
some
possible
future
research
directions
this
area.
