Human activity recognition (HAR) has gained significant interest in recent years, specifically
in the context of wearable sensors. This approach utilizes the abundant sensory information …

Human Activity Recognition (HAR) systems are pivotal for numerous applications in
pervasive computing. The rapid proliferation of smart devices, including smartphones has …

How to design and deploy efficient neural network backbones always plays a crucial role in
sensor-based human activity recognition (HAR) on mobile devices, which have targeted at …

The sensor-based human activity recognition (SHAR) task aims to detect and analyze
signals captured by various sensors embedded in intelligent devices to assist people's daily …

Surface defect detection is very important for the printed circuit board (PCB) to ensure their
quality requirements. This article proposes a reliable and lightweight adaptive convolution …

The inability of existing fetal movement (FM) detection methods, such as ultrasonography, to
provide reliable in-home monitoring of FM has triggered a recent surge in efforts to design …

Human Activity Recognition (HAR) plays a crucial role in wireless body area networks. This
article presents an energy-efficient model based on a combination of pruned Convolutional …

Author's Names 2 stream. LDSC consists of three lightweight convolutional modules that
combine deep convolution and point convolution to reduce model parameters, thus meeting …