Applied and Computational Engineering,
Journal Year:
2024,
Volume and Issue:
53(1), P. 254 - 263
Published: March 27, 2024
In
our
rapidly
evolving
society,
intelligent
technology
has
become
a
driving
force
across
various
sectors,
leading
to
transformative
progress.
This
paper
explores
the
integration
of
Convolutional
Recurrent
Neural
Network
(CRNN)
algorithms
with
flexible
sensors,
showcasing
their
remarkable
potential
in
enhancing
data
processing
and
interpretation.
The
synergy
between
CRNN
sensors
holds
great
promise
diverse
domains,
including
health
monitoring
industrial
automation.
Our
comprehensive
evaluation
model
reveals
exceptional
performance
classification
regression
tasks,
highlighting
its
adaptability
complex
varied
sensor
data.
Additionally,
confusion
matrix
analysis
provides
insights
into
multi-class
scenarios,
reinforcing
model's
reliability.
A
comparative
against
traditional
machine
learning
techniques
demonstrates
superiority
handling
time-series
conclusion,
is
set
revolutionize
sensing
technology,
opening
new
avenues
for
innovation
problem-solving
industries.
collaborative
approach
not
only
enhances
accuracy
reliability
but
also
paves
way
groundbreaking
technologies
applications
yet
be
imagined.
future
here,
it
both
exciting
promising,
CRNN-driven
towards
more
connected
world.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(10), P. 4832 - 4832
Published: May 17, 2023
Detecting
and
classifying
vehicles
as
objects
from
images
videos
is
challenging
in
appearance-based
representation,
yet
plays
a
significant
role
the
substantial
real-time
applications
of
Intelligent
Transportation
Systems
(ITSs).
The
rapid
development
Deep
Learning
(DL)
has
resulted
computer-vision
community
demanding
efficient,
robust,
outstanding
services
to
be
built
various
fields.
This
paper
covers
wide
range
vehicle
detection
classification
approaches
application
these
estimating
traffic
density,
targets,
toll
management
other
areas
using
DL
architectures.
Moreover,
also
presents
detailed
analysis
techniques,
benchmark
datasets,
preliminaries.
A
survey
some
vital
applications,
namely,
performance,
conducted,
with
investigation
challenges
faced.
addresses
promising
technological
advancements
last
few
years.
APL Materials,
Journal Year:
2025,
Volume and Issue:
13(2)
Published: Feb. 1, 2025
Anemometers
play
an
important
role
in
environmental
monitoring
remote
and
unique
locations,
such
as
forests,
islands,
mines.
Self-powered
wind
speed
sensors
offer
a
solution
for
long-term
reliable
unmanned
environments.
However,
current
self-powered
suffer
from
limited
integration,
start-up
range,
insufficient
output
power.
Therefore,
all-in-one
sensor
(ASWS-sensor)
with
wide
range
high
power
is
proposed.
The
ASWS-sensor,
based
on
triboelectric
nanogenerator
electromagnetic
generation
technologies,
features
dual-cup
structure
that
integrates
sensing
energy
harvesting.
This
design
enables
detection
across
broad
1.5
to
15
m/s
achieves
of
1.18
W.
To
meet
the
long-term,
needs
coal
mine
tunnels,
real-time
alarm
system
developed
combining
ASWS-sensor
master
computer.
Notably,
this
system,
use
FIR
filtering
algorithm
effectively
suppresses
significant
noise
encountered
during
collection
single-electrode
signals
microcontroller,
thereby
simplifying
calculation
process.
results
show
when
exceeds
7
m/s,
can
collect,
process,
wirelessly
transmit,
analyze,
display
speed-related
data
without
need
external
supply.
demonstrates
excellent
application
potential
scenarios.
Chemical Product and Process Modeling,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 8, 2025
Abstract
This
article
studies
the
application
of
biomimetic
triangular
non-smooth
surface
materials
in
automotive
acoustic
packaging
and
their
effects
on
sound
absorption
insulation
performance.
Firstly,
Statistical
Energy
Analysis
(SEA)
predicting
high-frequency
vibration
noise
automobiles
was
discussed.
Due
to
limitations
finite
element
method
noise,
SEA
has
gradually
been
widely
applied
continuously
improved
domestic
foreign
research.
establishes
models
for
front
panel
floor.
It
analyzes
performance
different
through
simulation,
focusing
materials.
The
experimental
results
show
that
material
with
a
three-layer
structure
excellent
range.
Specifically,
cowl
floor
adopts
composed
organic
fiber,
molded
felt,
polyurethane
foam
felt.
simulation
PU
bionic
wedge
coefficient
0.983
at
1,000
Hz,
significantly
better
than
traditional
smooth
material.
In
addition,
increased
by
2.9
dB
48.1
dB,
respectively,
5,000
Hz.
