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Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling
(MDPI, 2019)
[Abstract] The hotel industry is an important energy consumer that needs efficient energy management
methods to guarantee its performance and sustainability. The new role of hotels as prosumers
increases the difficulty ...
Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries
(Multidisciplinary Digital Publishing Institute, 2017)
This paper presents a new fault detection system in hypnotic sensors used for general anesthesia during surgery. Drug infusion during surgery is based on information received from patient monitoring devices; accordingly, ...
A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections
(Elsevier, 2020-08-19)
[Abstract] The implementation of anomaly detection systems represents a key problem that has been focusing the efforts of scientific community. In this context, the use one-class techniques to model a training set of ...
Electromyogram prediction during anesthesia by using a hybrid intelligent model
(Springer Nature, 2019-08-23)
[Abstract] In the search for new and more efficient ways to administer drugs, clinicians are turning to engineering tools. The availability of these models to predict physiological variables are a significant factor. A ...
Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring
(Vilnius University, 2019)
[Abstract] The present research shows the implementation of a virtual sensor for fault detection with the feature of recovering data. The proposal was implemented over a bicomponent mixing machine used for the wind generator ...
A fault detection system based on unsupervised techniques for industrial control loops
(Wiley, 2019-08)
[Abstract] This research describes a novel approach for fault detection in industrial processes, by means of unsupervised and projectionist techniques. The proposed method includes a visual tool for the detection of faults, ...