Advances in educational technologies and instructional design book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 175 - 194
Published: Dec. 20, 2024
Cloud
computing
has
transformed
education
by
providing
anytime
access
to
educational
content,
enhancing
learning,
and
fostering
collaboration.
Adaptive
technologies
analytics
allow
personalizing
learning
experiences
increasing
learner
engagement
tailoring
individual
needs.
solutions
streamline
administrative
tasks
like
attendance
grading,
allowing
educators
focus
more
on
teaching.
However,
these
benefits
come
with
challenges,
primarily
concerning
security
privacy.
Educational
organizations
manage
large
amounts
of
sensitive
data,
including
records,
academic
information,
grades,
intellectual
property.
Storing
this
data
in
the
cloud
raises
concerns
about
unauthorized
access,
breaches,
regulatory
compliance.
The
use
cloud-based
services
for
hosting
infrastructure
applications
makes
institutions
vulnerable
attacks.
Therefore,
is
crucial;
requiring
robust
strategies
practices
protect
applications,
platforms.
Digital,
Journal Year:
2024,
Volume and Issue:
4(2), P. 372 - 388
Published: April 23, 2024
Although
cloud
computing
offers
many
benefits,
such
as
flexibility,
scalability,
and
profitability,
some
small
medium
enterprises
(SMEs)
are
still
unable
to
fully
utilize
resources,
memory,
power,
storage,
network
bandwidth.
This
reduces
their
productivity
increases
expenses.
Therefore,
the
central
objective
of
this
paper
was
examine
key
challenges
related
allocation
resources
in
enterprises.
The
method
used
for
study
is
based
upon
qualitative
research
using
12
interviews
with
owners,
managers,
experts
four
countries:
United
States
America,
Kingdom,
India,
Pakistan.
Our
results,
on
our
empirical
data,
show
11
barriers
resource
that
classified
technology,
organization,
environment
(TOE)
framework.
Theoretically,
contributes
body
knowledge
concerning
technology
valuable
understanding
approaches
employed
by
(SMEs).
In
practice,
useful
aid
SMEs
implementing
successful
sustainable
strategies
allocating
resources.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
Teaching
resources
in
higher
education
are
an
important
part
of
the
talent
cultivation
system
institutions.
Dynamic
management
and
optimal
allocation
teaching
focus
construction
each
school,
which
reflects
teaching,
research,
level
school
to
a
certain
extent.
In
this
paper,
after
combining
current
situation
problems
six
schools
City
A
putting
forward
constructive
opinions,
we
further
use
data
envelopment
analysis
study
efficiency
resource
School
H
put
method
optimization.The
input
redundancy
rate
X1
during
three
years
2021-2023
is
30.25%,
44.15%,
55.26%,
respectively.
The
shows
that
has
excess
teacher
inputs
there
shortage
for
teachers.
For
dynamic
city
paper
argues
long-term
complex
organic
whole,
needs
be
reformed
terms
structure,
integration
management,
construct
high-quality
efficient
model.
optimization
allocation,
can
optimize
mechanism
other
aspects
promote
full
education.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
19(4), P. 01 - 13
Published: Jan. 25, 2024
In
the
evolving
landscape
of
biomedical
biometrics,
where
multimodal
approaches
are
increasingly
crucial
for
reliable
user
authentication,
this
research
presents
a
comprehensive
study.
The
primary
focus
is
on
construction
and
performance
evaluation
robust
big
data
prediction
model
within
cloud
computing
environment.
advent
has
revolutionized
field
offering
immense
potential
advanced
analysis
prediction.
This
development
biometric
in
applications.
proposed
incorporation
Reliable
Discrete
Variable
Topology
(RDVT)
into
model.
RDVT
introduces
topological
structure
that
enhances
reliability
ensures
integrity
information.
training
meticulously
detailed,
encompassing
preprocessing,
feature
extraction,
clustering,
classification,
evaluation.
Additionally,
integration
fuzzy
clustering
algorithm
model's
ability
to
handle
uncertainty
imprecision
data.
advancement
biometrics
by
introducing
based
rigorously
assessed
through
extensive
experimentation,
including
accuracy,
precision,
recall,
F1-score
measurements.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
20(1), P. 219 - 231
Published: Jan. 25, 2024
An
Intelligent
Warehouse
Management
System
(IWMS)
represents
a
technological
leap
forward
in
the
realm
of
logistics
and
supply
chain
management.
This
sophisticated
system
integrates
suite
cutting-edge
technologies,
including
artificial
intelligence,
machine
learning,
Internet
Things,
to
revolutionize
way
warehouses
operate.
The
primary
focus
is
on
construction
performance
evaluation
robust
big
data
prediction
model
within
cloud
computing
environment.
advent
has
revolutionized
field
Logistics,
offering
immense
potential
for
advanced
analysis
prediction.
research
presents
development
IWMS
Logistics
applications.
proposed
incorporation
Reliable
Discrete
Variable
Topology
(RDVT)
into
model.
RDVT
introduces
topological
structure
that
enhances
reliability
ensures
integrity
information.
training
are
meticulously
detailed,
encompassing
preprocessing,
feature
extraction,
clustering,
classification,
evaluation.
Additionally,
integration
fuzzy
clustering
with
reinforcement
learning
algorithm
model's
ability
handle
uncertainty
imprecision
management
data.
advancement
based
rigorously
assessed
through
extensive
experimentation,
accuracy,
precision,
recall,
F1-score
measurements.
Conventional
classification
method
has
good
performance
when
applied
to
small
datasets;
however,
their
applicability
unknown
data
sets
is
weak.
To
serve
education
information
services
in
the
cloud
computing
(CC)
environment,
this
study
presented
a
cross-source
model
based
on
technology.
This
work
outlined
mode
of
CC
service
and
its
deployment
provided
processing
multisource
depend
centre
integrated
with
features
distribution
environment.
First,
function
structure
platform
were
analyzed.
Second,
research
summary
feature
extraction
process
educational
utilizing
technology
mining
an
approach
for
classifying
text
by
analyzing
different
types
resources.
Finally,
academic
setting
was
developed.
The
comparison
experiments
proved
that
paper
ability
efficiently
categorizing
under
platform.
outperformed
other
traditional
categorization
Support
Vector
Machine
(SVM)
terms
efficiency
also
accuracy.
Journal of Computer Allied Intelligence (JCAI).,
Journal Year:
2024,
Volume and Issue:
2(4), P. 51 - 69
Published: Aug. 31, 2024
A
resource-sharing
platform
is
an
online
space
where
individuals
or
organizations
can
exchange
access
various
resources,
such
as
knowledge,
skills,
tools,
assets.
These
platforms
facilitate
collaboration
and
cooperation
among
users
by
providing
a
centralized
hub
for
sharing
resources
efficiently.
In
university
higher
education,
serves
vital
tool
students,
faculty,
staff
to
optimize
wide
array
of
educational
resources.
enable
the
academic
materials,
textbooks,
lecture
notes,
research
papers,
fostering
collaborative
learning
environments.
This
paper
proposed
method
Distributed
Consensus
Blockchain
Deep
Learning
(dCBDL)
deep
in
education
aims
revolutionize
resource
utilization.
Initially,
dCBDL
model
uses
blockchain
network
that
underlying
infrastructure
platform.
will
store
transaction
records,
verify
authenticity
shared
ensure
data
integrity
immutability.
The
smart
contracts
decentralized
storage
with
consensus
mechanism
processing
education.
Finally,
classification
assessment
student
performance
achieves
accuracy
98%
which
significantly
than
conventional
techniques
architecture
SVM
LSTM
classifiers.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
The
personalized
recommendation
method
is
an
efficient
and
effective
solution
to
optimize
educational
resources,
which
can
effectively
extract
learners’
preference
characteristics
select
suitable
high-quality
resources
for
them
improve
teaching
efficiency.
In
this
paper,
we
construct
a
confidence-aware
model
resources.
order
reduce
the
sparsity
problem
of
rating
data,
constraint
based
on
implicit
factor
user-object
interaction
designed
item-user
by
using
information
single
review.
Meanwhile,
confidence
matrix
introduced
accuracy
recommendations,
loss
function
constructed
maximum
posteriori
estimation
theory.
optimized
introducing
small
batch
gradient
descent
algorithm
at
end.
Two
datasets
are
used
verify
model’s
performance,
impact
students’
innovation
ability
assessed
in
practice.
It
found
that
paper
outperforms
other
three
classification
models,
test
results
two
online_shopping_10_cats
Course
Classify
achieve
more
than
0.95.
experimental
class’s
increased
37.6%
from
46.25
63.63,
while
control
pre-
post-scores
46.36
47.88
were
not
significantly
different.
be
seen
class
has
progressed
differently
four
dimensions
after
applying
paper.
This
study
proposes
new
ideas
feasible
paths
combining
optimal
allocation
with
cutting-edge
technology,
empowering
through
big
data
technology.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
Promoting
the
optimal
allocation
of
ideological
and
political
education
resources
for
higher
vocational
students
is
key
to
realizing
work
education.
On
basis
analyzing
connotation
characteristics
content
framework
resources,
article
explores
optimization
mechanism
configuration
objectives
resources.
Based
on
data
envelopment
model,
a
DEA-CCR
pairwise
planning
model
constructed
by
combining
linear
programming
theory,
Malmquist
index
introduced
explore
dynamic
efficiency
The
input
redundancy
output
Civic
are
not
enough
obtain
specific
measures
their
allocation,
also
solved
using
LINDO
software.
Panel
from
31
provinces
in
China
were
used
as
an
example
quantitatively
analyze
civic
students.The
values
during
period
2017-2022
all
range
0.78-0.85,
with
33.73%
increase
purely
technical
efficiency,
140%
number
regions
where
DEA
was
realized
be
effective,
0.375.In
based
insufficiency
it
possible
targeted
strategies
students.
