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A hybrid one-class approach for detecting anomalies in industrial systems
(John Wiley & Sons Ltd, 2022-03-08)
[Abstract]: The significant advance of Internet of Things in industrial environments has provided the possibility of monitoring the different variables that come into play in an industrial process. This circumstance allows ...
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 ...
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 ...
Solar thermal collector output temperature prediction by hybrid intelligent model for smartgrid and smartbuildings applications and optimization
(MDPI, 2020-07-05)
[Abstract] Currently, there is great interest in reducing the consumption of fossil fuels (and other non-renewable energy sources) in order to preserve the environment; smart buildings are commonly proposed for this purpose ...
A one-class classifier based on a hybrid topology to detect faults in power cells
(Oxford University Press, 2022-08-01)
[Abstract]: 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 design and implementation ...
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 ...
Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach
(Oxford University Press, 2024-05-09)
[Abstract] Batteries are a fundamental storage component due to its various applications in mobility, renewable energies and consumer electronics among others. Regardless of the battery typology, one key variable from a ...
Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems
(Oxford University Press, 2024)
[Abstract] The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time ...
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 ...
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 ...