Applied Science and Technology Research Institute

Fault diagnosis of photovoltaic array under service-cycle degradation evolution via semi-supervised conditional domain adversarial network with dynamic label smoothing

The inevitable performance degradation of photovoltaic modules during long-term service induces a dynamic drift in their output feature distributions over time. However, existing fault diagnosis methods predominantly rely on static datasets acquired from undegraded arrays or thos...

DeepFeature: LLM-Empowered Context-aware Feature Generation for Wearable Biosignals

Biosignals collected from wearable devices are widely utilized in healthcare applications. Machine learning models used in these applications often rely on features extracted from biosignals due to their effectiveness, lower data dimensionality, and wide compatibility across vari...

Validity of wearable inertial measurement units for monitoring lower-limb running biomechanics: a comparison with optical motion capture

Wearable inertial measurement units (IMU) provide a portable alternative to optical motion capture (OMC) systems for assessing running biomechanics. However, whether IMU-derived lower-limb kinematics demonstrate consistent agreement with OMC across different joints and kinematic...