Over the last decade, transfer learning has attracted a great deal of attention as a new
learning paradigm, based on which fault diagnosis (FD) approaches have been intensively …

The availability of computational power in the domain of Prognostics and Health
Management (PHM) with deep learning (DL) applications has attracted researchers …

针对目标域负荷数据样本不足导致模型训练不充分从而预测精度不高的问题,
提出一种改进的分层级迁移学习策略结合多尺度CNN-BiLSTM-Attention 模型的短期电力负荷 …

In the recent technological era, advancement in the application allows faster transmission of
data massively over the network, and it leads to the emergence of challenges related to high …

A fast-changing world has created a speed-obsessed society. In this development-seeking
and innovation-driven environment, leaders and individuals must adopt more strategic …

The bearing is an indispensable part of mechanical systems. Fault diagnosis of bearing
faults is vital for uninterrupted operations of the system, and to prevent catastrophic failure …

The common cold, severe acute respiratory syndrome, and Middle East respiratory
syndrome are all examples of disorders that can be caused by coronaviruses, which are a …

Given the time-consuming nature of compiling landslide inventories, it is increasingly
important to develop transferable landslide susceptibility models that can be applied to …

Rotating machine faults are unavoidable; thus, early diagnosis is essential to avoid further
damage to the machine or other machine attached to it. Various signal analysis based …

Induction motors operate in difficult environments in the industry. Monitoring the
performance of motors in such circumstances is significant, which can provide a reliable …