The rehearsal strategy is widely used to alleviate the catastrophic forgetting problem in class
incremental learning (CIL) by preserving limited exemplars from previous tasks. With …

Classification of sheep behaviour from a sequence of tri-axial accelerometer data has the
potential to enhance sheep management. Sheep behaviour is inherently imbalanced (eg …

The accuracy of fault diagnosis is an important indicator to ensure the reliability of key
equipment systems. Ensemble learning integrates different weak learning methods to obtain …

Abstract The No Free Lunch (NFL) theorems have sparked intense debate since their
publication, from theoretical and practical perspectives. However, to this date, no discussion …

The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …

Cocrystal engineering as an effective way to modify solid-state properties has inspired great
interest from diverse material fields while cocrystal density is an important property closely …

The machine learning algorithm based on multiple-input multiple-output linear regression
models has been developed to describe PM2. 5 and PM10 concentrations over time. The …

Industrial growth has a positive impact because it brings prosperity to humans. But on the
other hand, it also has a negative effect, mainly due to industrial pollution produced. The …

The security and privacy of smart home systems, particularly from a home user's perspective,
have been a very active research area in recent years. However, via a meta-review of 52 …

Aims A substantial fraction of patients undergoing knee arthroplasty (KA) or hip arthroplasty
(HA) do not achieve an improvement as high as the minimal clinically important difference …