Fault detection and diagnosis is an important problem in process engineering. It is the central
component of abnormal event management (AEM) which has attracted a lot of attention …

In this final part, we discuss fault diagnosis methods that are based on historic process
knowledge. We also compare and evaluate the various methodologies reviewed in this series in …

In this part of the paper, we review qualitative model representations and search strategies
used in fault diagnostic systems. Qualitative models are usually developed based on some …

Thermoelectric materials are of interest for applications as heat pumps and power generators.
The performance of thermoelectric devices is quantified by a figure of merit, ZT, where Z is …

The k-anonymity privacy requirement for publishing microdata requires that each equivalence
class (ie, a set of records that are indistinguishable from each other with respect to certain "…

What does it mean for an algorithm to be biased? In US law, unintentional bias is encoded
via disparate impact, which occurs when a selection process has widely different outcomes …

There is a significant need for site-specific and on-demand cooling in electronic 1 , 2 ,
optoelectronic 3 and bioanalytical 4 devices, where cooling is currently achieved by the use of …

The thermal conductivity of Si–Ge superlattices with superlattice periods 30<L<300 Å, and a
Si 0.85 Ge 0.15 thin film alloy is measured using the 3 ω method. The alloy film shows a …

A key goal of the fair-ML community is to develop machine-learning based systems that, once
introduced into a social context, can achieve social and legal outcomes such as fairness, …

Background Transcranial direct current stimulation has shown promising clinical results,
leading to increased demand for an evidence-based review on its clinical effects. Objective We …