Listar GI-CTC - Artigos por título
Mostrando ítems 6-25 de 75
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A hybrid intelligent model to predict the hydrogen concentration in the producer gas from a downdraft gasifier
(Elsevier, 2022-06-05)[Abstract] This research work presents an artificial intelligence approach to predicting the hydrogen concentration in the producer gas from biomass gasification. An experimental gasification plant consisting of an air-blown ... -
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 ... -
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 ... -
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 Multicriteria Evaluation of Sustainable Riparian Revegetation with Local Fruit Trees around a Reservoir of a Hydroelectric Power Plant in Central Brazil
(MDPI, 2021)[Abstract] The construction of hydropower plants often requires the flooding of large land areas, causing considerable alterations in the natural environment. In the region surrounding the reservoir of the Corumbá IV ... -
A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections
(Elsevier, 2020-08-19)[Abstract] The implementation of anomaly detection systems represents a key problem that has been focusing the efforts of scientific community. In this context, the use one-class techniques to model a training set of ... -
A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers
(Multidisciplinary Digital Publishing Institute, 2015)Nowadays, data collection is a key process in the study of electrical power networks when searching for harmonics and a lack of balance among phases. In this context, the lack of data of any of the main electrical variables ... -
A novel ensemble Beta-scale invariant map algorithm
(Institute of Electrical and Electronics Engineers Inc., 2020-06-11)[Abstract]: This research presents a novel topology preserving map (TPM) called Weighted Voting Supervision -Beta-Scale Invariant Map (WeVoS-Beta-SIM), based on the application of the Weighted Voting Supervision (WeVoS) ... -
A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine
(Wiley-Hindawi, 2018)[Abstract] One of the main challenges in medicine is to guarantee an appropriate drug supply according to the real needs of patients. Closed-loop strategies have been widely used to develop automatic solutions based on ... -
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 ... -
A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport
(Wiley, 2024-02)[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 ... -
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, ... -
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 ... -
A One-Class-Based Supervision System to Detect Unexpected Events in Wastewater Treatment Plants
(MDPI, 2024)[Abstract] The increasing importance of water quality has led to optimizing the operation of Wastewater Treatment Plants. This implies the monitoring of many parameters that measure aspects such as solid suspension, ... -
An application of a hybrid intelligent system for diagnosing primary headaches
(MDPI, 2021)[Abstract] (1) Background: Modern medicine generates a great deal of information that stored in medical databases. Simultaneously, extracting useful knowledge and making scientific decisions for diagnosis and treatment of ... -
An assessment on the efficiency of clothing with UV protection among the Spanish Navy school students
(MDPI, 2022-09-08)[Abstract] Concern about the harmful effects that ultraviolet (UV) rays have on the skin of people who are routinely exposed to solar radiation has driven the industry of skin protection creams, sunglasses and clothing. ... -
An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger’s Behavior in a Bioclimatic House Context
(MDPI, 2024-05)[Abstract] Growing dependence on fossil fuels is one of the critical factors accelerating climate change, a global concern that can destabilize ecosystems and economies worldwide. In this context, renewable energy is ... -
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 ... -
Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families
(Oxford University Press, 2024-05-20)[Abstract] As it is well known, mobile phones have become a basic gadget for any individual that usually stores sensitive information. This mainly motivates the increase in the number of attacks aimed at jeopardizing ... -
Bio-inspired model of ground temperature behavior on the horizontal geothermal exchanger of an installation based on a heat pump
(Elsevier, 2015-02-20)[Abstract] Nowadays the Heat Pump is one of the best systems to warm a building with a good performance. Usually, with the aim to increase the efficiency, a geothermal heat exchanger is added to the installation. This ...