Monitoring and fault detection can be critical for efficient, safe and reliable operation of
electric drive systems. Unfortunately, develo** accurate physics-based models for these …

The abnormality detection of lithium-ion battery pack is crucial to ensure the safety of electric
vehicles (EVs). However, the dynamic and complex operating conditions of EVs making it …

The reduction of water leakage is essential for ensuring sustainable and resilient water
supply systems. Despite recent investments in sensing technologies, pipe leakage remains …

The introduction of the Energy-Based Maintenance (EBM) practice in Sustainable
Manufacturing attracted significant academic attention, especially considering imposed …

Anomaly detection is critical in the smart industry for preventing equipment failure, reducing
downtime, and improving safety. Internet of Things (IoT) has enabled the collection of large …

Network management is a crucial task to maintain modern systems and applications
running. Some applications have become vital for society and are expected to have zero …

In the latest years, deep learning has been massively used to face problems that have not
been solved by means of classical approaches. In particular, an autoencoder is a popular …

Quality-related process monitoring with data-driven methods has been widely researched
and applied for anomaly detection in modern thermal power plants. However, the balance …

Biomedical imaging devices, in general, have been made and used a lot lately to examine
the insides of the body during diagnostic and analytic procedures. Biomedical imaging gives …

Deep learning (DL) has achieved remarkable successes in many disciplines such as
computer vision and natural language processing due to the availability of “big data” …