Frontiers in Neurorobotics,
Год журнала:
2024,
Номер
18
Опубликована: Авг. 30, 2024
Advanced
traffic
monitoring
systems
face
significant
challenges
in
vehicle
detection
and
classification.
Conventional
methods
often
require
substantial
computational
resources
struggle
to
adapt
diverse
data
collection
methods.
Sensors,
Год журнала:
2024,
Номер
24(10), С. 3032 - 3032
Опубликована: Май 10, 2024
The
domain
of
human
locomotion
identification
through
smartphone
sensors
is
witnessing
rapid
expansion
within
the
realm
research.
This
boasts
significant
potential
across
various
sectors,
including
healthcare,
sports,
security
systems,
home
automation,
and
real-time
location
tracking.
Despite
considerable
volume
existing
research,
greater
portion
it
has
primarily
concentrated
on
activities.
Comparatively
less
emphasis
been
placed
recognition
localization
patterns.
In
current
study,
we
introduce
a
system
by
facilitating
both
physical
location-based
utilizes
capabilities
to
achieve
its
objectives.
Our
goal
develop
that
can
accurately
identify
different
activities,
such
as
walking,
running,
jumping,
indoor,
outdoor
To
this,
perform
preprocessing
raw
sensor
data
using
Butterworth
filter
for
inertial
Median
Filter
Global
Positioning
System
(GPS)
then
applying
Hamming
windowing
techniques
segment
filtered
data.
We
extract
features
from
GPS
select
relevant
variance
threshold
feature
selection
method.
extrasensory
dataset
exhibits
an
imbalanced
number
samples
certain
address
this
issue,
permutation-based
augmentation
technique
employed.
augmented
are
optimized
Yeo–Johnson
power
transformation
algorithm
before
being
sent
multi-layer
perceptron
classification.
evaluate
our
K-fold
cross-validation
technique.
datasets
used
in
study
Extrasensory
Sussex
Huawei
Locomotion
(SHL),
which
contain
experiments
demonstrate
achieves
high
accuracy
with
96%
94%
over
SHL
activities
91%
outperforming
previous
state-of-the-art
methods
recognizing
types
Critical Reviews in Analytical Chemistry,
Год журнала:
2024,
Номер
unknown, С. 1 - 25
Опубликована: Сен. 17, 2024
This
comprehensive
review
delves
into
the
advancements
and
challenges
in
biosensing,
with
a
strong
emphasis
on
transformative
potential
of
CRISPR
technology
for
early
rapid
detection
infectious
diseases.
It
underscores
versatility
CRISPR/Cas
systems,
highlighting
their
ability
to
detect
both
nucleic
acids
non-nucleic
acid
targets,
seamless
integration
isothermal
amplification
techniques.
The
provides
thorough
examination
latest
developments
CRISPR-based
biosensors,
detailing
unique
properties
such
as
high
specificity
programmability,
which
make
them
particularly
effective
detecting
disease-associated
acids.
While
focuses
due
its
critical
role
diagnosing
diseases,
it
also
explores
broader
applications
thereby
acknowledging
technology's
potential.
Additionally,
identifies
existing
challenges,
need
improved
signal
real-world
applicability,
offers
future
perspectives
aimed
at
overcoming
these
hurdles.
ultimate
goal
is
advance
development
highly
sensitive
specific
biosensors
that
can
be
used
widely
improving
human
health,
point-of-care
settings
resource-limited
environments.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Март 28, 2024
Abstract
This
paper
proposes
a
circularly
polarized
ultra-thin
flexible
antenna
with
rectifier
and
power
management
unit
(PMU)
for
smartwatch/wristband
applications.
The
is
compact
(0.17
λ
0
×
0.20
0.0004
)
has
stepped
ground
plane.
A
parasitic
element
used
at
the
substrate
bottom
to
reduce
specific
absorption
rate
(SAR)
enhance
gain
up
3.2
dBi,
resonating
frequency
of
WLAN/Wi-Fi
(2.45
GHz).
SAR
proposed
design
also
analysed
frequency,
it
satisfies
guidelines
International
Commission
on
Non-Ionizing
Radiation
Protection
(ICNIRP)
IEEE
C95.1–2019
human
safety
standards.
An
impedance
matching
circuit
between
RF
energy
harvester
improve
conversion
efficiency.
Polarization
mismatch
avoided
help
circular
polarization,
achieved
by
tuning
stubs
size
0.02
0.044
.
integration
rectenna
results
in
good
efficiency
78.2%
−
5
dBm
input
load
resistance
2
KΩ.
availability
signals
allows
user
charge
connecting
PMU
harvester.
International Journal of Extreme Manufacturing,
Год журнала:
2024,
Номер
6(6), С. 062003 - 062003
Опубликована: Июль 20, 2024
Abstract
Triboelectric
nanogenerators
(TENGs)
stand
at
the
forefront
of
energy
harvesting
innovation,
transforming
mechanical
into
electrical
power
through
triboelectrification
and
electrostatic
induction.
This
groundbreaking
technology
addresses
urgent
need
for
sustainable
renewable
solutions,
opening
new
avenues
self-powered
systems.
Despite
their
potential,
TENGs
face
challenges
such
as
material
optimization
enhanced
triboelectric
effects,
scalability,
improving
conversion
efficiency
under
varied
conditions.
Durability
environmental
stability
also
pose
significant
hurdles,
necessitating
further
research
towards
more
resilient
Nature
inspired
TENG
designs
offer
promising
solutions
by
emulating
biological
processes
structures,
mechanisms
plants
textured
surfaces
animal
skins.
biomimetic
approach
has
led
to
notable
improvements
in
properties,
structural
designs,
overall
performance,
including
robustness.
The
exploration
bio-inspired
unlocked
possibilities
harvesting,
sensing,
wearable
electronics,
emphasizing
reduced
consumption
increased
innovative
design.
review
encapsulates
advancements
nature
TENGs,
highlighting
integration
principles
overcome
current
limitations.
By
focusing
on
augmented
biodegradability,
self-healing
capabilities,
pave
way
versatile
solutions.
Sensors,
Год журнала:
2025,
Номер
25(2), С. 441 - 441
Опубликована: Янв. 13, 2025
This
paper
presents
an
approach
for
event
recognition
in
sequential
images
using
human
body
part
features
and
their
surrounding
context.
Key
points
were
approximated
to
track
monitor
presence
complex
scenarios.
Various
feature
descriptors,
including
MSER
(Maximally
Stable
Extremal
Regions),
SURF
(Speeded-Up
Robust
Features),
distance
transform,
DOF
(Degrees
of
Freedom),
applied
skeleton
points,
while
BRIEF
(Binary
Independent
Elementary
HOG
(Histogram
Oriented
Gradients),
FAST
(Features
from
Accelerated
Segment
Test),
Optical
Flow
used
on
silhouettes
or
full-body
capture
both
geometric
motion-based
features.
Feature
fusion
was
employed
enhance
the
discriminative
power
extracted
data
physical
parameters
calculated
by
different
extraction
techniques.
The
system
utilized
a
hybrid
CNN
(Convolutional
Neural
Network)
+
RNN
(Recurrent
classifier
recognition,
with
Grey
Wolf
Optimization
(GWO)
selection.
Experimental
results
showed
significant
accuracy,
achieving
98.5%
UCF-101
dataset
99.2%
YouTube
dataset.
Compared
state-of-the-art
methods,
our
achieved
better
performance
recognition.
Biomimetics,
Год журнала:
2025,
Номер
10(3), С. 181 - 181
Опубликована: Март 14, 2025
Environmental
challenges,
high
safety
risks
and
operational
inefficiencies
are
some
of
the
issues
facing
mining
sector.
The
paper
offers
an
integrated
viewpoint
to
address
these
by
combining
swarm
robotics,
nature-inspired
algorithms
(NIAs)
other
biomimicry-based
technologies
into
a
single
framework.
It
presents
systematic
classification
each
methodology,
emphasizing
their
key
advantages
disadvantages
as
well
considering
real-life
application
scenarios,
including
hazard
detection,
autonomous
transportation
energy-efficient
drilling.
Case
studies
citied
demonstrate
how
methodologies
work
together,
extensive
comparison
table
applications
at
mines,
such
Boliden,
Diavik
Diamond
Mine,
Olympic
Dam
others,
summary
scalability
practicality.
This
highlights
future
directions
multi-robot
coordination
hybrid
NIAs,
improve
resilience
sustainability.
also
provides
broad
overview
biomimicry
critically
examines
unresolved
like
real-time
adaptation,
parameter
tuning
mechanical
wear.
aims
offer
comprehensive
insight
using
bio-inspired
models
enhance
efficiency,
environmental
management,
while
proposing
road
map
for
resolving
that
continue
be
hurdle
wide
adaptation
in
industry.
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2611 - 2611
Опубликована: Март 16, 2025
This
research
focuses
on
harnessing
artificial
neural
networks
(ANNs)
to
enhance
the
design
of
steel
structures.
The
process
encompasses
various
stages,
including
defining
building’s
geometry,
estimating
loads,
selecting
an
appropriate
structural
system,
sizing
components,
and
creating
detailed
plans.
Optimizing
weight
these
structures
is
vital
for
reducing
costs,
improving
efficiency,
minimizing
environmental
impact.
study
specifically
investigates
multilayer
perceptron
(MLP)
optimize
structure
design.
It
evaluates
different
ANN
configurations
with
varying
numbers
hidden
layers
neurons
find
most
effective
arrangement.
Additionally,
performance
MLP
compared
that
logistic
regression.
results
demonstrate
deliver
superior
accuracy
in
optimizing
designing
at
early
stage
can
reduce
consumption
energy
raw
materials
before
production
themselves
begins.
important
from
economic
point
view
because
some
costs
be
reduced
during
process.
When
structures,
it
also
possible
take
into
account
changing
conditions,
such
as
growing
share
renewable
sources
total
balance
many
countries.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 27, 2025
This
study
utilizes
the
Nikiforov-Uvarov
method
to
solve
Schrödinger
equation
for
class
of
inversely
quadratic
Yukawa
potential
(CIQYP),
deriving
both
energy
and
normalized
wave
function.
Shannon
entropy
Fisher
information
in
position
momentum
spaces
are
analyzed
low-energy
states
using
The
Bialynicki-Birula-Mycielski
Stam-Cramer-Rao
inequalities
satisfied
entropies,
illustrating
complementary
uncertainties
inherent
quantum
mechanics.
underscores
interplay
between
reinforcing
Heisenberg
uncertainty
principle,
which
imposes
limits
on
precise
simultaneous
measurement
conjugate
variables.
Eigenvalues
CIQYP
three
diatomic
molecules
(N₂,
O₂,
NO)
obtained
their
respective
data,
revealing
that
bound
state
spectra
these
increase
as
principal
number
angular
rise.
Expectation
values
were
numerically
determined,
model
simplifies
Kratzer
under
specific
boundary
conditions,
thereby
ensuring
analytical
accuracy.
such
I₂
CO
examined,
showing
a
fixed
number,
spectrum
increases
with
increasing
very
good
agreement
previously
results
different
methods.
International Journal of Low-Carbon Technologies,
Год журнала:
2024,
Номер
19, С. 747 - 765
Опубликована: Янв. 1, 2024
Abstract
Nanotechnology
has
increased
electric
vehicle
(EV)
battery
production,
efficiency
and
use.
is
explored
in
this
car
illustration.
Nanoscale
materials
topologies
research
energy
density,
charge
time
cycle
life.
Nanotubes,
graphene
metal
oxides
improve
storage,
flow
charging/discharge.
Solid-state
lithium-air
high-energy
batteries
are
safer,
more
dense
stable
using
nanoscale
catalysts.
improves
parts.
Nanostructured
fluids
reduce
lithium
dendrite,
improving
batteries.
Nanocoating
electrodes
may
damage
extend
benefits
the
planet.
Nanomaterials
allow
parts
to
employ
ordinary,
safe
instead
of
rare,
harmful
ones.
promotes
recycling,
reducing
waste.
Change
does
not
influence
stable,
cost-effective
or
scalable
items.
Business
opportunities
for
nanotechnology-based
EV
need
research.
High-performance,
robust
environmentally
friendly
might
make
cars
popular
transportation
sustainable
with
development.
An
outline
nanotechnology
researchexamines
publication
patterns,
notable
articles,
collaborators
contributions.
This
issue
was
researched
extensively,
indicating
interest.
Research
focuses
on
anode
materials,
storage
performance.
A
landscape
assessment
demonstrates
nanotechnology’s
growth
future.
comprehensive
literature
review
examined
nanosensors
EVs.
Our
study
provides
a
solid
foundation
understanding
current
state
research,
identifying
major
trends
discovering
breakthroughs
sensors
by
carefully
reviewing,
characterizing
rating
important
papers.