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Mostrando ítems 81-90 de 120
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 ...
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 ...
Intrusion Detection With Unsupervised Techniques for Network Management Protocols Over Smart Grids
(MDPI AG, 2020-03-27)
[Abstract] The present research work focuses on overcoming cybersecurity problems in the Smart Grid. Smart Grids must have feasible data capture and communications infrastructure to be able to manage the huge amounts of ...
Intelligent Model for Power Cells State of Charge Forecasting in EV
(MDPI, 2022-07-19)
[Abstract] In electric vehicles and mobile electronic devices, batteries are one of the most critical components. They work by using electrochemical reactions that have been thoroughly investigated to identify their behavior ...
Special issue Applications of Artificial Intelligence Systems [Editorial]
(MDPI, 2022-04-12)
Metodología de reducción del tiempo de ajuste de controladores PID autoajustables basado en hiperesferas
(Universidad de León, 2022-06)
[Resumen] Hoy en día, los controladores adaptativos son ampliamente utilizados en el control de una gran variedad de procesos industriales.
En ese tipo de controladores destacan los reguladores PIDs autoajustables, por ...
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 ...
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 ...