Global wavelet-integrated residual frequency attention regularized network for hypersonic flight vehicle fault diagnosis with imbalanced data
Y Dong, H Jiang, Y Liu, Z Yi - Engineering Applications of Artificial …, 2024 - Elsevier
In the context of long-term exposure to harsh operating conditions, the hypersonic flight
vehicle (HFV) is susceptible to failure. Regrettably, the current fault diagnosis methods for …
vehicle (HFV) is susceptible to failure. Regrettably, the current fault diagnosis methods for …
A novel ensemble method based on residual convolutional neural network with attention module for transient stability assessment considering operational variability
W Liu, S Han, N Rong - Engineering Applications of Artificial Intelligence, 2025 - Elsevier
Data-driven methods have been extensively applied in the field of power system transient
stability assessment (TSA) owing to their robust capabilities to excavate valuable features …
stability assessment (TSA) owing to their robust capabilities to excavate valuable features …
Working condition decoupling adversarial network: A novel method for multi-target domain fault diagnosis
X Zhang, J Wang, X Jiang, Z Zhang, B Han, H Bao… - Neurocomputing, 2025 - Elsevier
In the practical application of rotating machinery, the change of working conditions can meet
different manufacturing requirements. When fault diagnosis is performed on monitoring data …
different manufacturing requirements. When fault diagnosis is performed on monitoring data …
Optimizing Emotional Insight through Unimodal and Multimodal Long Short-term Memory Models
HF Ibrahim, CK Loo, SY Geda… - ARO-THE SCIENTIFIC …, 2024 - eprints.tiu.edu.iq
The field of multimodal emotion recognition is increasingly gaining popularity as a research
area. It involves analyzing human emotions across multiple modalities, such as acoustic …
area. It involves analyzing human emotions across multiple modalities, such as acoustic …