This survey examines approaches to promote Collaborative Learning in distributed systems
for emergent Intelligent Autonomous Systems (IAS). The study involves a literature review of …

By using in situ health information, many existing studies for online remaining useful life
(RUL) prediction adopt a stochastic process-based degradation model and a computation …

This study aims to show the application of stochastic optimization for efficient and robust
parameter calibration of engineering wake models. Standard values of the wake effect …

We develop a personalized system to modify individual travel behaviors by offering
personalized incentives. Individual preferences are learned to provide personalized …

Despite increasing interest, real-time prognostics (failure prediction) is still not widespread in
industry due to the difficulties of existing systems to adapt to the dynamic and …

Personalization aims to characterize individual preferences and is widely applied across
many fields. However, conventional personalized methods operate in a centralized manner …

Motivated by the need to support effective asset management of infrastructure systems, this
paper presents a novel reliability model for a load-sharing system where the operator can …

This study proposes a method to incorporate covariate information into sparse functional
data analysis. The method aims at cases where each subject has a limited number of …

Monitoring a large number of units whose health conditions follow complex dynamic
evolution is a challenging problem in many healthcare and engineering applications. For …

Background and aim Depression is often accompanied by thoughts of self-harm, which are a
strong predictor of subsequent suicide attempt and suicide death. Few empirical data are …