Journal of Information Technology in Construction,
Journal Year:
2024,
Volume and Issue:
29, P. 686 - 721
Published: Sept. 29, 2024
Construction
projects
often
face
challenges
of
poor
performance,
resulting
in
increased
costs,
delays,
and
defects.
To
address
these
issues,
4.0
(C4.0)
employs
innovative
technologies
to
enhance
project
efficiency,
safety,
sustainability.
However,
construction
lag
adopting
technologies,
meeting
significant
obstacles,
with
the
inadequately
trained
workforce
being
a
major,
underexplored
difficulty
leading
subpar
performance.
This
study
aims
investigate
current
status
existing
research
on
C4.0
skills
achieve
this
aim,
conducts
systematic
literature
review
using
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses
(PRISMA)
method
50
articles.
The
findings
suggest
that
general
are
recognized,
but
specific
impact
during
fourth
industrial
revolution
stays
unexplored.
emphasize
need
targeted
identify
examine
crucial
projects.
Journal of Composites Science,
Journal Year:
2024,
Volume and Issue:
8(10), P. 416 - 416
Published: Oct. 10, 2024
This
review
explores
fundamental
analytical
modelling
approaches
using
conventional
composite
theory
and
artificial
intelligence
(AI)
to
predict
mechanical
properties
of
3D
printed
particle-reinforced
resin
composites
via
digital
light
processing
(DLP).
Their
mechanisms,
advancement,
limitations,
validity,
drawbacks
feasibility
are
critically
investigated.
It
has
been
found
that
Halpin-Tsai
model
with
a
percolation
threshold
enables
the
capture
nonlinear
effect
particle
reinforcement
effectively
DLP-based
reinforced
various
particles.
The
paper
further
how
AI
techniques,
such
as
machine
learning
Bayesian
neural
networks
(BNNs),
enhance
prediction
accuracy
by
extracting
patterns
from
extensive
datasets
providing
probabilistic
predictions
confidence
intervals.
aims
advance
better
understanding
material
behaviour
in
additive
manufacturing
(AM).
demonstrates
exciting
potential
for
performance
enhancement
composites,
employing
optimisation
both
selection
parameters.
also
benefit
combining
empirical
models
AI-driven
analytics
optimise
parameters,
thereby
advancing
AM
applications.
Electronics,
Journal Year:
2023,
Volume and Issue:
13(1), P. 140 - 140
Published: Dec. 28, 2023
With
the
rapid
advancement
of
information
technology,
both
hardware
and
software,
smart
healthcare
has
become
increasingly
achievable.
The
integration
medical
data
machine-learning
technology
is
key
to
realizing
this
potential.
quality
influences
results
a
system
great
extent.
This
study
aimed
design
based
on
clustering
techniques
(SHCM)
analyze
potential
risks
trends
in
patients
given
time
frame.
Evidence-based
medicine
was
also
employed
explore
generated
by
proposed
SHCM
system.
Thus,
similar
different
discoveries
examined
applying
evidence-based
could
be
investigated
integrated
into
provide
personalized
services.
In
addition,
presented
analyzes
relationship
between
health
conditions
terms
results.
findings
show
similarities
differences
clusters
obtained
indigenous
non-indigenous
diseases,
time,
numbers.
Therefore,
analyzed
further
hospital
management,
such
as
education
control,
personal
healthcare,
improvement
utilization
resources,
evaluation
expenses.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 12, 2025
Abstract
Aircraft
industry,
especially
the
commercial
aircraft
branch,
is
an
important
and
specific
field
in
manufacturing
due
to
its
distinct
features
such
as
high
personalization
low
production
output,
expected
grow
significantly
future.
At
same
time,
artificial
intelligence
(AI)
machine
learning
(ML)
have
undertaken
a
major
revolution
sector
with
promising
improvements.
However,
global
deployment
of
AI/ML
sphere
still
requires
further
operationalization.
This
study
aims
address
challenges
this
implementation
by
providing
PRISMA
systematic
literature
review
89
articles.
Several
perspectives
were
analyzed,
including
word
cloud
analysis,
distribution
over
years,
geographical
distribution,
domains
application,
paradigms,
models,
materials,
components.
Additionally,
synthesis
was
conducted
on
data
augmentation,
reduction,
hardware
employed,
overall
all
relevant
articles
field.
The
findings
revealed
insights
into
trends
applications
terms
techniques,
influence,
applications,
materials
contributes
gathering
present
state-of-the-art
research,
identifying
key
elements,
highlighting
research
opportunities,
use
LLMs
integration
human
factors.
Cureus,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 13, 2025
Although
artificial
intelligence
(AI)
has
grown
over
the
past
10
years
and
clinical
decision
support
systems
(CDSS)
have
begun
to
be
used
in
obstetric
care,
little
is
known
about
how
AI
functions
care-specific
CDSS.
We
conducted
a
systematic
review
based
on
research
studies
that
looked
at
AI-augmented
CDSS
care
identify
synthesize
functionality,
techniques,
implementation,
care.
searched
four
different
databases
(Scopus,
PubMed,
Web
of
Science,
IEEE
Xplore)
for
relevant
studies,
we
found
354
studies.
The
were
evaluated
eligibility
predefined
inclusion
exclusion
criteria.
incorporated
30
after
conducting
an
assessment
all
Newcastle
Ottawa
Scale
risk
bias
included
Medical
prediction,
therapeutic
recommendations,
diagnostic
support,
knowledge
dissemination
constitute
key
features
service
offerings.
current
findings
early
fetal
anomaly
detection,
economical
surveillance,
prenatal
ultrasonography
assistance,
ontology
development
methodologies
according
our
study
findings.
Kybernetes,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 10, 2025
Purpose
This
study
aims
to
address
the
limitations
of
traditional
statistical
methods
and
grey
relational
analysis
models
(GRA)
when
applied
compositional
data,
particularly
in
fields
such
as
energy
consumption
industrial
structure
analysis.
By
introducing
Grey
Tangent
Plane
Relational
Analysis
(GTPRA)
model,
this
research
extends
applicability
GRA
model
mitigating
issues
like
instability
caused
by
changes
index
or
object
order
within
sample
matrices.
Design/methodology/approach
The
proposed
approach
begins
processing
data
with
centered
log-ratio
(CLR)
transformation
accommodate
fixed-sum
constraint.
matrix
is
then
divided
into
binary
submatrices
based
on
permutation
combination
theory.
Each
point
projected
three-dimensional
space
create
a
spatial
discrete
surface,
from
which
coefficient
formula
derived
tangent
plane’s
area.
leads
formulation
GTPRA
model.
Key
properties
including
normality,
symmetry,
reflexivity,
multiplication
invariance
result
uniqueness,
are
systematically
examined.
Finally,
assess
impact
Yellow
River
basin,
China.
Findings
effectively
captures
quantifies
relationships
sequences,
exhibiting
robust
performance
managing
complex
interdependencies.
case
demonstrates
model’s
capability
provide
insights
relationships,
highlighting
its
stability
advantages
over
data.
underpins
suitability
for
analyzing
intricate
dependencies
offers
more
refined
than
models.
Originality/value
presents
novel
extension
tailored
expands
analytical
capabilities
dealing
offering
stable
framework
examining
