GI-CTC - Artigos: Envíos recentes
Mostrando ítems 6-10 de 60
-
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, ... -
A Hybrid Intelligent System to Forecast Solar Energy Production
(Elsevier, 2019-08-07)[Abstarct]: There is wide acknowledgement that solar energy is a promising and renewable source of electricity. However, complementary sources are sometimes required, due to its limited capacity, in order to satisfy user ...
