Listar GI-CTC - Artigos por título
Mostrando ítems 19-38 de 66
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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 ... -
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 ... -
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 ... -
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 ... -
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. ... -
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 ... -
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 ... -
Delving into Android Malware Families with a Novel Neural Projection Method
(Willey-Hindawi, 2019)[Abstract] Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for ... -
Design Sprint: Enhancing STEAM and Engineering Education Through Agile Prototyping and Testing Ideas
(Elsevier, 2022-06)[Abstract] Creating project-based learning experiences in the classroom where students learn in a team to solve complex problems and to develop creative and critical thinking is a challenge. Design Sprint (DS) is an agile ... -
Determination of Sr-90 in milk samples from the study of statistical results
(Vinča Institute of Nuclear Science, 2017)[Abstract] The determination of 90Sr in milk samples is the main objective of radiation monitoring laboratories because of its environmental importance. In this paper the concentration of activity of 39 milk samples was ... -
Dynamic Malware Mitigation Strategies for IoT Networks: A Mathematical Epidemiology Approach
(MDPI, 2024-01-12)[Abstract] With the progress and evolution of the IoT, which has resulted in a rise in both the number of devices and their applications, there is a growing number of malware attacks with higher complexity. Countering the ... -
Editorial: Special issue HAIS20
(Oxford University Press, 2023-04) -
Effect of phase-change materials on laboratory-made insoles: analysis of environmental conditions
(MDPI, 2022-10-07)[Abstract]: Thermal comfort is essential when wearing a postural-corrective garment. Discomfort of any kind may deter regular use and prolong user recovery time. The objective of this work is therefore to optimize a new ... -
Effects of paraffin additives, as phase change materials, on the behavior of a traditional lime mortar
(Elsevier, 2022-12-26)[Abstract]: This study refers to the inclusion of phase change materials (PCMs) in porous building materials as an alternative means of improving their thermal behavior, assessing the changes caused in their physical-mechanical ... -
Electromyogram prediction during anesthesia by using a hybrid intelligent model
(Springer Nature, 2019-08-23)[Abstract] In the search for new and more efficient ways to administer drugs, clinicians are turning to engineering tools. The availability of these models to predict physiological variables are a significant factor. A ... -
Electrospun composite fibers containing organic phase change materials for thermo-regulation: Trends
(Elsevier, 2023-09-08)[Abstract]: Thermal management technologies that offer the capability of controlling a system’s temperature within a range are needed for a very large set of applications, from electronic circuitry to battery technologies, ... -
Estudio, medida y mitigación de la concentración de radón en la Escuela Universitaria de Arquitectura Técnica de la Universidade da Coruña
(CSIC, 2017-09-27)[Resumen] Se ha llevado a cabo un estudio de la concentración de gas radón en la Escuela Universitaria de Arquitectura Técnica de la Universidade da Coruña. Para ello se ha analizado la ubicación del edificio, el terreno ... -
Exploring the Efficacy of Binary Surveys versus Likert Scales in Assessing Student Perspectives Using Bayesian Analysis
(MDPI, 2024-05)[Abstract] Likert-scale surveys are the undeniable protagonists of online evaluations. They ask the respondent to express their degree of agreement with a series of statements related to the development of a subject. In ... -
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 ...
