Most existing fault diagnosis methods may fail in the following three scenarios: (1) serial
correlations exist in the process data; (2) fault data are much less than normal data; and (3) it is …

To address the complex interactions between humans and wildlife habitat, we developed a
conceptual framework that links human factors with forested landscapes and wildlife habitat. …

Deep neural networks (DNNs) often suffer from" catastrophic forgetting" during incremental
learning (IL)---an abrupt degradation of performance on the original set of classes when the …

Generating accurate descriptions for online fashion items is important not only for enhancing
customers’ shopping experiences, but also for the increase of online sales. Besides the …

Immune checkpoint molecules, also known as cosignaling molecules, are pivotal cell-surface
molecules that control immune cell responses by either promoting (costimulatory molecules…

Readily-available and efficient catalyst is essential for activating oxidants to produce reactive
species for deeply remediating water bodies contaminated by antibiotics. In this study, …

Current research on design knowledge capture and reuse has predominantly focused on
either the codification view of knowledge or the personalisation view of knowledge, resulting in …

Background Stroke remains a leading cause of adult disability and the demand for stroke
rehabilitation services is growing, and Astragaloside IV (As IV), a primary bioactive compound …

In this study, the size effect of the thickness of the specimen on the mechanical properties of
UHPC was investigated through compression tests under cyclic loading. UHPC prisms with …

Fault diagnosis in an open world refers to the diagnosis tasks that need to cope with previously
unknown faults in the online stage. It faces a great challenge yet to be addressed—that is…