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A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques
(MDPI, 2019-06-18)
[Abstract ]:This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy ...
Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system
(MDPI, 2019-11-07)
[Abstract]: The present research work deals with prediction of hydrogen consumption of a fuel cell in an energy storage system. Due to the fact that these kind of systems have a very nonlinear behaviour, the use of traditional ...
Hydrogen consumption prediction of a fuel cell based system with a hybrid intelligent approach
(Elsevier, 2020-08-15)
[Abstract] Energy storage is one of the challenges of the electric sector. There are several different technologies available for facing it, from the traditional ones to the most advanced. With the current trend, it is ...
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 ...
Intelligent one-class classifiers for the development of an intrusion detection system: the MQTT case study
(MDPI, 2022-01-30)
[Abstarct] The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the ...
A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport
(Wiley, 2024)
[Abstract]: One of the most common attacks is man-in-the-middle (MitM) which, due to its complex behaviour, is difficult to detect by traditional cyber-attack detection systems. MitM attacks on internet of things systems ...
Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices
(Oxford University Press, 2024-04)
[Abstract] This paper aims to enhance security in IoT device networks through a visual tool that utilizes three projection techniques, including Beta Hebbian Learning (BHL), t-distributed Stochastic Neighbor Embedding ...