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The accuracy of different algorithms for TMD on SHL and HTC datasets.

The accuracy of different algorithms for TMD on SHL and HTC datasets.

<p>The accuracy of different algorithms for TMD on SHL and HTC datasets.</p>

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Bibliographic Details
Main Author: Rui Li (4631) (author)
Other Authors: Xueyi Song (21464680) (author), Yongliang Xie (21464683) (author)
Published: 2025
Subjects:
Medicine
Biotechnology
Science Policy
Biological Sciences not elsewhere classified
urban traffic improvements
transportation mode detection
stationary time variations
stationary temporal dynamics
richer feature representation
nonlinear fitting capabilities
memory resources difficult
event distribution shifts
employ learnable b
discrete wavelet transform
despite extensive research
sensor time series
two main modules
separated trend data
making lightweight deployment
e ., dwt
mobile devices become
kan </ p
two parts
sensor technology
mobile devices
dwt modules
xlink ">
trained efficiently
teacher model
student model
spline functions
shl dataset
power models
multiple layers
model consists
linear kan
limited computing
less influenced
knowledge distillation
htc dataset
gaining importance
frequency part
effectively mitigating
dwt module
challenges remain
captures events
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