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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 ...
Gasificación de biomasa
(Universidad de Guayaquil, 2023-12-23)
[Resumen]: La gasificación de biomasa es un proceso termoquímico que convierte materia orgánica en un gas de síntesis, útil en calderas o motores. Este gas contiene monóxido de carbono, hidrógeno, dióxido de carbono, metano, ...
Gestión de la energía en sistemas renovables híbridos
(Universidad de Guayaquil, 2023-12-23)
[Abstract]: Este documento se centra en el análisis de soluciones ante la necesidad de diseñar el sistema de alimentación de una instalación modular y móvil encargada de monitorizar la calidad del agua de un río. Esta ...
A novel method for anomaly detection using beta Hebbian learning and principal component analysis
(Oxford University Press, 2023-04)
[Abstract] 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 Hebbian Learning algorithm, ...
Comparative study of imputation algorithms applied to the prediction of student performance
(Oxford University Press, 2019-12-27)
[Abstract]: Student performance and its evaluation remain a serious challenge for education systems. Frequently, the recording and processing of students’ scores in a specific curriculum have several f laws for various ...
Fuel cell hybrid model for predicting hydrogen inflow through energy demand
(MDPI, 2019-11-10)
[Abstract]: Hydrogen-based energy storage and generation is an increasingly used technology, especially in renewable systems because they are non-polluting devices. Fuel cells are complex nonlinear systems, so a good model ...
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 ...