AI-Optimized Management of a Hybrid SOFC-CAES Systems with Renewable Integration for Efficient Electricity Production and Peak Shaving
Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 135342 - 135342
Published: Feb. 1, 2025
Language: Английский
A many-objective optimization approach for weight gain and animal welfare in rotational grazing of cattle
Marvin Jiménez,
No information about this author
Rodrigo García,
No information about this author
José Aguilar
No information about this author
et al.
Engineering Applications of Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
133, P. 108264 - 108264
Published: March 14, 2024
Language: Английский
Exploring the application and decision optimization of climate-smart agriculture within land-energy-food-waste nexus
Bo Yu,
No information about this author
Xuehao Bi,
No information about this author
Xueqing Liu
No information about this author
et al.
Sustainable Production and Consumption,
Journal Year:
2024,
Volume and Issue:
50, P. 536 - 555
Published: Sept. 6, 2024
Language: Английский
A novel parameterized neutrosophic score function and its application in genetic algorithm
PeerJ Computer Science,
Journal Year:
2024,
Volume and Issue:
10, P. e2117 - e2117
Published: July 11, 2024
Efficiency,
safety
and
cost
are
three
major
evaluation
indexes
of
warehouse
operation.
However,
the
uncertainty
efficiency,
factors
will
lead
to
economic
losses
waste
resources.
The
purpose
this
study
is
propose
a
novel
parameterized
neutrosophic
objective–proportionate
genetic
algorithm
model
(PNO–PGA)
optimize
above
objectives.
There
main
contributions
study.
Firstly,
score
function
sets
(NSs)
proposed
effectively
integrate
fuzziness
avoid
result
being
too
idealized.
Secondly,
proportionate
applied
adaptively
realize
iteration
inheritance
processes.
Finally,
two
parameters
make
flexibly
adapt
different
types
environments
problems.
Then,
an
example
used
compare
new
method
with
(GA).
shows
that
PNO-PGA
has
better
problem-solving
ability
in
operation
than
GA.
Language: Английский
Approach to creating an intelligent system for free-range livestock farming
Radka Malinova,
No information about this author
Pencho Malinov,
No information about this author
Evgeni Valchev
No information about this author
et al.
Czech Journal of Animal Science,
Journal Year:
2024,
Volume and Issue:
69(10), P. 389 - 399
Published: Oct. 31, 2024
The
development
of
intelligent
systems
for
the
tracking
free-range
livestock
is
a
challenge
to
both
information
and
communication
technology
(ICT)
scientists
those
in
animal
sciences.
Cyber-physical
make
it
possible
track
control
processes
involving
objects
from
physical
virtual
worlds.
In
case
grazing,
necessary
manage
two
domains
‒
that
pasture
management
animals.
Due
differences
conditions
different
types
pastures
–
plain
or
high
land
characteristics
cattle
breeds,
ready-made
models
cannot
be
used,
but
build
specific
multi-aspect
model
behaviour
life
cycle
cows.
Our
team
organised
their
research
on
cows
breeds
(Rhodope
Shorthorn
Cattle
Bulgarian
Rhodope
Cattle)
raised
similar
technologies,
grazed
pasture.
aim
study
develop
comprehensive
determining
behavioural
activities
using
sensor
groups,
by
incorporating
observations
appropriate
statistical
models.
Language: Английский