In recent years, information available from multiple data modalities has become increasingly
common for industrial engineering and operations research applications. There have been a …

Condition monitoring and fault diagnosis play an important role in the safety and reliability of
aero-engine. Digital twin (DT) technology, which can realize the fusion of physical space …

Develo** an accurate and reliable multi-step ahead prediction model is a key problem in
many Prognostics and Health Management (PHM) applications. Inevitably, the further one …

Current neural architecture search (NAS) strategies focus only on finding a single, good,
architecture. They offer little insight into why a specific network is performing well, or how we …

A rolling bearing fault diagnosis technique is proposed based on Recurrence Quantification
Analysis (abbreviated as RQA) and Bayesian optimized Support Vector Machine …

Numerical simulation can significantly enhance subsurface resource utilisation's efficiency
and economic benefits by multiphase flow in heterogeneous porous media. However …

The COVID-19 pandemic has caused millions of cases and deaths and the AI-related
scientific community, after being involved with detecting COVID-19 signs in medical images …

The increasing availability of graph-structured data motivates the task of optimising over
functions defined on the node set of graphs. Traditional graph search algorithms can be …

Building extraction is one of the important tasks for urbanization monitoring, city planning,
and urban change detection. It is not an easy task due to spectral heterogeneity and …

Network structure optimization is a fundamental task of many expert and intelligent systems,
such as the intelligent tools for chemical molecular discovery and expert systems for road …