Optimizing vaccine logistics: a taxonomy and narrative review
INFOR Information Systems and Operational Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 42
Published: Feb. 20, 2025
Language: Английский
Intelligent Interconnected Healthcare System: Integrating IoT and Big Data for Personalized Patient Care
Ahmed Abatal,
No information about this author
Mourad Mzili,
No information about this author
Toufik Mzili
No information about this author
et al.
International Journal of Online and Biomedical Engineering (iJOE),
Journal Year:
2024,
Volume and Issue:
20(11), P. 46 - 65
Published: Aug. 8, 2024
This
paper
introduces
the
intelligent
interconnected
healthcare
system
(IIHS),
an
innovative
fusion
of
Internet
Things
(IoT)
and
big
data
analytics
technologies
designed
to
revolutionize
proactive
personalized
healthcare.
IIHS
facilitates
integration
real-time
from
various
devices,
ambient
sensors,
hospital
equipment,
creating
a
continuous
stream
comprehensive
data.
Leveraging
advanced
analysis,
offers
actionable
insights
for
ongoing
patient
health
monitoring,
trend
prediction
through
machine
learning,
rapid
information
access
via
user-friendly
interface.
The
architecture
features
combination
centralized
cloud
storage
edge
at
facilities,
enhancing
both
efficiency
security
in
management.
effectiveness
has
been
demonstrated
two
which
reported
significant
reductions
length
stay
readmission
rates.
indicates
system’s
potential
improve
care
while
seamlessly
integrating
with
existing
infrastructures.
represents
future
digital
medicine,
offering
scalable,
patient-centric
solution
that
supports
transformation
towards
data-driven
Language: Английский
Classification model for reducing absenteeism of nurses at hospitals using machine learning and artificial neural network techniques
International Journal of Systems Assurance Engineering and Management,
Journal Year:
2024,
Volume and Issue:
15(7), P. 3266 - 3278
Published: April 22, 2024
Language: Английский
Adaptive crossover-based marine predators algorithm for global optimization problems
Journal of Computational Design and Engineering,
Journal Year:
2024,
Volume and Issue:
11(4), P. 124 - 150
Published: June 26, 2024
Abstract
The
Marine
Predators
Algorithm
(MPA)
is
a
swarm
intelligence
algorithm
developed
based
on
the
foraging
behavior
of
ocean’s
predators.
This
has
drawbacks
including,
insufficient
population
diversity,
leading
to
trapping
in
local
optima
and
poor
convergence.
To
mitigate
these
drawbacks,
this
paper
introduces
an
enhanced
MPA
Adaptive
Sampling
with
Maximin
Distance
Criterion
(AM)
horizontal
vertical
crossover
operators
–
i.e.,
Crossover-based
(AC-MPA).
AM
approach
used
generate
diverse
well-distributed
candidate
solutions.
Whereas
maintain
diversity
during
search
process.
performance
AC-MPA
was
tested
using
51
benchmark
functions
from
CEC2017,
CEC2020,
CEC2022,
varying
degrees
dimensionality,
findings
are
compared
those
its
basic
version,
variants,
numerous
well-established
metaheuristics.
Additionally,
11
engineering
optimization
problems
were
utilized
verify
capabilities
handling
real-world
problems.
clearly
show
that
performs
well
terms
solution
accuracy,
convergence,
robustness.
Furthermore,
proposed
demonstrates
considerable
advantages
solving
problems,
proving
effectiveness
adaptability.
Language: Английский
Evolution, topics and relevant research methodologies in Business Intelligence and Data Analysis in the Academic Management of Higher Education Institutions. A literature review
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
unknown, P. 103782 - 103782
Published: Dec. 1, 2024
Language: Английский