An RNN-based forecasting approach is used to early detect anomalies in industrial multivariate time series data from a simulated Tennessee Eastman Process (TEP) with many cyberattacks. This work continues a previously proposed LSTM-based approach to the fault detection in simpler data. It is considered necessary to adapt the RNN network to deal with data containing stochastic, stationary, trans...

The northwestern part of the Kerman Cenozoic magmatic arc (KCMA) contains many areas with porphyry copper mineralization. In this research, we used the advanced space-borne thermal emission and reflection radiometer (ASTER) and Enhanced Thematic Mapper plus (ETM+) images of this region to map the distribution of hydrothermally altered rocks, based on their mineral assemblages. The spectral meas...

Purpose: Somatostatin analogues (SA) are varyingly used to try prevent development of a pancreatic postoperative fistula (POPF) after pancreatoduodenectomy. Some centers do not use SA, some it only in high-risk patients, and others all patients. The aim this study was evaluate the effect different protocols for SA on incidence POPF pancreatoduodenectomy Netherlands. Method: Dutch Pancreatic Can...

In this paper music genre classification has been explored with special emphasis on the decision time horizon and ranking of tappeddelay-line short-time features. Late information fusion as e.g. majority voting is compared with techniques of early information fusion1 such as dynamic PCA (DPCA). The most frequently suggested features in the literature were employed including melfrequency cepstra...

Neurons in higher cortical areas, such as the prefrontal cortex, are known to be tuned to a variety of sensory and motor variables. The resulting diversity of neural tuning often obscures the represented information. Here we introduce a novel dimensionality reduction technique, demixed principal component analysis (dPCA), which automatically discovers and highlights the essential features in co...

Accidental or deliberate exposure to highly toxic chemical warfare agents and many industrial chemicals pose significant threat environment human health. Skin arsenical vesicants, developed as weapons in World War I/II, causes painful inflammation skin wounds. The lack of relevant animal models has been a key impediment for defining the underlying mechanism/s these devastating chemicals. Gottin...

Statistics pattern analysis (SPA) is a new multivariate statistical monitoring framework proposed by the authors recently. It addresses some challenges that cannot be readily addressed by the commonly used multivariate statistical methods such as principal component analysis (PCA) in monitoring batch processes in the semiconductor industry. It was later extended to the monitoring of continuous ...

The goal of this work is the development of a suitable monitoring module, which is to be the first module of an integrated fault detection and control system for the SHARON process. To model the process properly, different PCA models are tested. As a first step, PCA is used in an iterative manner to exclude data not considered to represent normal operational conditions and process behaviour fro...