The
objective
of
this
research
project
was
to
distinguish
handwritten
digits
using
the
Support
Vector
(SVM)
with
Freeman
chain
code,
and
subsequently,
compare
prediction
accuracy
that
K-Nearest
Neighbor
(KNN)
algorithm.
In
pursuit
goal,
SVM
pitted
against
KNN
for
task
digit
detection.
Each
two
experimental
groups
consisted
20
samples,
a
pretest
power
analysis
executed
an
80%
confidence
level.
This
Study
revealed
Machine
achieved
93.48%,
whereas
algorithm
exhibited
higher
98.05%.
Statistical
analysis,
performed
through
Independent
Sample
T-tests,
demonstrated
difference
in
between
algorithms
is
0.001
(p<0.05).
Consequently,
it
can
be
concluded
surpasses
realm
recognition.
Polymer Testing,
Год журнала:
2024,
Номер
134, С. 108441 - 108441
Опубликована: Май 1, 2024
Polymer
composite
laminates
have
established
themselves
as
essential
materials
across
a
wide
type
of
industrial
fields
because
their
specific
mechanical
properties
such
high
strength
and
low
weight.
Among
the
main
issues
they
face
is
susceptibility
to
delamination
damage.
This
comprehensive
review
paper
investigates
various
damage
mechanisms
associated
phenomena
that
obvious
during
within
polymer
laminates.
Delamination
can
primarily
arise
in
Mode
I,
II
mixed
I
&II
loading
scenarios.
Notably,
features
vary
significantly
between
these
conditions.
aims
characterize
identify
delamination-dominated
by
conducting
examination
parameters
influence
features,
all
based
on
an
extensive
literature
utilizing
fractography
analysis.
The
findings
this
illustrate
valuable
insights
be
obtained
from
fracture
surfaces
through
utilization
images
features.
For
instance,
it
possible
recognize
details
determining
global
crack
growth
direction,
calculating
rate
fatigue
growth,
anticipating
strain
energy
released
rate.
deeper
understanding
aids
pinpointing
key
factors
contributing
It
could
offer
for
designing
composites
resistant
delamination.
Additionally,
may
assist
underlying
causes
catastrophic
failures
tragic
events.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 171 - 194
Опубликована: Май 3, 2024
The
integration
of
nanotechnology
into
robotics
has
revolutionized
the
design,
manufacturing,
and
performance
robotic
systems.
Nano-materials,
with
their
unique
properties
at
nanoscale,
enhance
strength,
flexibility,
functionality,
revolutionizing
construction
operation
robots.
Nano
fluids,
superior
heat
transfer
properties,
address
overheating
issues,
improving
performance,
extended
operational
lifespans,
increased
adaptability
in
diverse
environmental
conditions.
chapter
also
explores
impact
robotics,
highlighting
nano-materials
nano
fluids
eco-friendly
solutions.
delves
challenges
future
directions
synergy
between
discussing
potential
breakthroughs,
ethical
considerations,
need
for
ongoing
research.
It
provides
a
comprehensive
analysis
impacts
on
robot
industry
environments.
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 53 - 86
Опубликована: Фев. 9, 2024
The
construction
industry
is
set
for
a
transformative
era
with
advancements
in
engineered
cementitious
composites
(ECC)
and
alternative
materials.
This
chapter
explores
their
composition,
properties,
applications,
as
well
materials
like
geopolymers
recycled
aggregates.
It
highlights
the
potential
of
these
innovations
to
redefine
practices,
environmental
benefits,
economic
viability.
also
discusses
challenges
widespread
adoption
offers
solutions.
Real-world
case
studies
demonstrate
successful
applications
ECC
materials,
highlighting
performance
further
research.
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 210 - 243
Опубликована: Фев. 9, 2024
This
chapter
explores
the
integration
of
nano-composite
materials
into
engineered
cementitious
composites
(ECC),
highlighting
its
significant
impact
on
structural
resilience,
durability,
and
performance.
It
discusses
innovative
methodologies
advancements
in
ECC
formulation,
including
nanoparticles
like
carbon
nanotubes,
graphene,
nano-sized
additives.
The
advantages
include
enhanced
strength,
improved
ductility,
increased
resistance
to
environmental
stressors.
also
examines
sustainability
quotient
potential
challenges
large-scale
implementation.
promises
a
sustainable
future
for
construction
practices.
Advances in environmental engineering and green technologies book series,
Год журнала:
2024,
Номер
unknown, С. 115 - 139
Опубликована: Янв. 26, 2024
This
chapter
explores
energy
cascade
conversion
systems
and
their
role
in
creating
energy-efficient
infrastructure.
It
highlights
the
importance
of
optimizing
these
for
maximum
efficiency
environmental
benefits
addressing
global
sustainability
climate
change
challenges.
The
discusses
various
optimization
techniques,
both
traditional
cutting-edge,
to
enhance
performance
systems.
also
critical
interplay
between
broader
text
strategies
designing
implementing
infrastructure
that
integrates
with
systems,
minimizing
losses
during
distribution
utilization.
covers
advanced
control
algorithms,
predictive
maintenance,
materials
science
innovations,
smart
grid
technologies.
socio-economic
aspects
optimization,
including
policy
frameworks,
incentives,
public
awareness
campaigns
adoption.
This
comprehensive
investigation
uses
powerful
NLP
and
multi-modal
integration
to
detect
fake
information
on
social
media.
Our
technique
was
tested
using
10,000
news
pieces
from
various
media
networks.
Advanced
models
are
crucial,
with
the
state-of-the-art
transformer
model,
BERT,
collecting
subtle
contextual
94.2%
accuracy.
SVM
BERT
had
greatest
classification
accuracy
at
95.6%
when
combined
ensemble
approaches.
Multi-modal
sources
including
picture
captions
user
metadata
improved
performance,
textual-image
model
achieving
96.8%.
The
research
ethical,
incorporating
fairness
analysis
transparency
measures,
ensure
detection
trustworthiness
fairness.
These
findings
show
that
sophisticated
can
improve
detection,
enabling
creation
of
strong,
real-world
apps
combat
disinformation
protect
digital
discourse.
the
objective
is
to
increase
precision
of
heart
disease
prediction
by
utilizing
novel
Logistic
Regression
and
contrasting
it
with
XGBoost
Classifier.
There
are
20
examples
in
each
two
groups
representing
innovative
The
study's
sample
size
assessed
using
G-power
pre-test
score
80%
CI-95%,
which
accounts
for
fact
that
group
has
samples.
With
a
trained
dataset
303
samples,
accuracy
93.8830%
Classifier
91.0480%
respectively
significantly
higher
than
comparison
model,
statistical
difference
0.001
(p<0.05)
SPSS
analysis.
significance
between
groups.
In
light
acquired
outcomes
gives
better
rate
when
contrasted
provides
91.0480%.
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 380 - 407
Опубликована: Июнь 28, 2024
In
this
chapter,
the
e-waste
challenges
and
environmental
impacts
of
proliferation
electronic
gadgets
to
save
environment
human
health
have
been
discussed.
Conventional
techniques
such
as
incineration
landfilling
exacerbate
resource
depletion
pollution.
The
utilization
bio-based
products
for
sustainable
management
emphasizes
how
biotechnological
methods
employed
minimize
impacts.
various
limitations
conventional
waste
well
effects
creation
on
are
also
elaborated.
viability,
affordability,
marketability
cutting-edge
technologies
incorporating
goods
into
treatment
illustrated
in
chapter.
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 32
Опубликована: Сен. 13, 2024
The
chapter
highlights
the
significance
of
integrating
IoT,
AI,
and
advanced
materials
in
sustainable
manufacturing
to
promote
eco-friendly
practices
reduce
environmental
degradation.
It
synergy
between
these
technologies,
allowing
real-time
monitoring
resource
utilization,
energy
consumption,
production
efficiency.
AI
provides
predictive
analytics,
promoting
proactive
maintenance
waste
reduction.
Advanced
techniques
like
additive
composite
carbon
footprints
depletion.
Eco-friendly
recycling
renewable
adoption
sustainability
throughout
supply
chain,
fostering
a
circular
economy.
However,
technological
barriers
regulatory
constraints
must
be
overcome.
