As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Lithium-ion batteries play a pivotal role in a wide range of applications, from electronic
devices to large-scale electrified transportation systems and grid-scale energy storage …

On top of machine learning (ML) models, uncertainty quantification (UQ) functions as an
essential layer of safety assurance that could lead to more principled decision making by …

Lithium-ion batteries are key drivers of the renewable energy revolution, bolstered by
progress in battery design, modelling, and management. Yet, achieving high-performance …

Physics-based and data-driven models for remaining useful lifetime (RUL) prediction
typically suffer from two major challenges that limit their applicability to complex real-world …

A key enabler of intelligent maintenance systems is the ability to predict the remaining useful
lifetime (RUL) of its components, ie, prognostics. The development of data-driven …

The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …

Remaining useful life (RUL) prediction has always been a core task of prognostics and
health management technology, which is crucial to the reliable and safe operation of …

The world is increasingly urbanizing, and to improve urban sustainability, many cities adopt
ambitious energy-saving strategies through retrofitting existing buildings and constructing …

The integration of artificial intelligence (AI) into point-of-care (POC) biosensing has the
potential to revolutionize diagnostic methodologies by offering rapid, accurate, and …