Intelligent one-class classifiers for the development of an intrusion detection system: the mqtt case study
The ever-increasing number of smart devices connected to the internet poses an
unprecedented security challenge. This article presents the implementation of an Intrusion …
unprecedented security challenge. This article presents the implementation of an Intrusion …
Hybrid intelligent model to predict the remifentanil infusion rate in patients under general anesthesia
E Jove, JM Gonzalez-Cava… - Logic Journal of the …, 2021 - academic.oup.com
Automatic control of physiological variables is one of the most active areas in biomedical
engineering. This paper is centered in the prediction of the analgesic variables evolution in …
engineering. This paper is centered in the prediction of the analgesic variables evolution in …
[HTML][HTML] A hybrid intelligent model to predict the hydrogen concentration in the producer gas from a downdraft gasifier
R Aguado, JL Casteleiro-Roca, D Vera… - International Journal of …, 2022 - Elsevier
This research work presents an artificial intelligence approach to predicting the hydrogen
concentration in the producer gas from biomass gasification. An experimental gasification …
concentration in the producer gas from biomass gasification. An experimental gasification …
A novel method for anomaly detection using beta Hebbian learning and principal component analysis
In this research work a novel two-step system for anomaly detection is presented and tested
over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta …
over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta …
Intelligent model for active power prediction of a small wind turbine
In this study, a hybrid model based on intelligent techniques is developed to predict the
active power generated in a bioclimatic house by a low power wind turbine. Contrary to …
active power generated in a bioclimatic house by a low power wind turbine. Contrary to …
A one-class classifier based on a hybrid topology to detect faults in power cells
The use of batteries became essential in our daily life in electronic devices, electric vehicles
and energy storage systems in general terms. As they play a key role in many devices, their …
and energy storage systems in general terms. As they play a key role in many devices, their …
Unlocking the potential: A review of artificial intelligence applications in wind energy
This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …
Comparative study of one-class based anomaly detection techniques for a bicomponent mixing machine monitoring
One critical point to improve the economic and technical results of every industrial process
lies on the fact of achieving a good optimization, and applying a smart maintenance plan. In …
lies on the fact of achieving a good optimization, and applying a smart maintenance plan. In …
Iterative fuzzy modeling of hydrogen fuel cells by the extended Kalman filter
Hydrogen economy is one of the recently opened alternatives in the field of non-polluting
energy. Hydrogen fuel cells show high performance, high reliability in stationary applications …
energy. Hydrogen fuel cells show high performance, high reliability in stationary applications …
One-class-based intelligent classifier for detecting anomalous situations during the anesthetic process
A Leira, E Jove, JM Gonzalez-Cava… - Logic Journal of the …, 2022 - academic.oup.com
Closed-loop administration of propofol for the control of hypnosis in anesthesia has
evidenced an outperformance when comparing it with manual administration in terms of …
evidenced an outperformance when comparing it with manual administration in terms of …