GI-CTC - Artigos
Envíos recientes
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A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production
(Elsevier, 2024-01-14)[Abstract] There is no doubt that the European Union is undergoing an ecological transition, with renewable energies accounting for an increasing share of energy consumption in the Member States. In Spain, solar energy is ... -
Comparative Analysis of Meteorological versus In Situ Variables in Ship Thermal Simulations
(MDPI, 2024-04)[Abstract] Thermal simulations have become increasingly popular in assessing energy efficiency and predicting thermal behaviors in various structures. Calibration of these simulations is essential for accurate predictions. ... -
Data dimensionality reduction for an optimal switching mode classification applied to a step-down power converter
(Oxford University Press, 2024)[Abstract] A dimensional reduction algorithm is applied to an intelligent classification model with the purpose of improving the efficiency and accuracy. The proposed classification model, used to distinguish the operating ... -
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 ... -
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, ...
