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Mostrando ítems 1-10 de 55
Artículo
An Evolutionary Computational Approach for Designing Micro Hydro Power Plants
(MDPI, 2019-03)
Micro Hydro Power Plants (MHPP) constitute an effective, environmentally-friendly solution to deal with energy poverty in rural isolated areas, being the most extended renewable technology in this field. Nevertheless, ...
Artículo
Emotion AI-Driven Sentiment Analysis: A Survey, Future Research Directions, and Open Issues
(MDPI, 2019-12)
The essential use of natural language processing is to analyze the sentiment of the author via the context. This sentiment analysis (SA) is said to determine the exactness of the underlying emotion in the context. It has ...
Ponencia
Evolución de los MOOC en el ámbito investigador mediante técnicas de análisis de contenido
(Universidad de Sevilla, 2016-06)
Los Massive Open Online Courses (MOOCs) constituyen un nuevo modelo de docencia que ha ido ganando popularidad en los últimos años. Su carácter masivo implica un modelo de enseñanza colaborativa que genera conexiones ...
Artículo
A Bayesian Optimization Approach for Multi-Function Estimation for Environmental Monitoring Using an Autonomous Surface Vehicle: Ypacarai Lake Case Study
(MDPI, 2021)
Bayesian optimization is a sequential method that can optimize a single and costly objective function based on a surrogate model. In this work, we propose a Bayesian optimization system dedicated to monitoring and estimating ...
Artículo
A Comparison of Local Path Planning Techniques of Autonomous Surface Vehicles for Monitoring Applications: The Ypacarai Lake Case-study
(MDPI, 2020-03)
Local path planning is important in the development of autonomous vehicles since it allows a vehicle to adapt their movements to dynamic environments, for instance, when obstacles are detected. This work presents an ...
Ponencia
Análisis de la oferta educativa en el ámbito de los MOOCs
(Universidad de Deusto, 2014-06)
Los MOOCS, acrónimo del término Massive Open Online Courses, han experimentado un extraordinario auge en los últimos años y se postulan como una de las herramientas más populares y eficientes en el ámbito educativo ...
Artículo
Distributed Secure Computing for Smart Mobile IoT Networks [Editorial]
(Hindawi, 2022-04)
Artículo
A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case
(Institute of Electrical and Electronics Engineers, 2020)
Autonomous Surfaces Vehicles (ASV) are incredibly useful for the continuous monitoring and exploring task of water resources due to their autonomy, mobility, and relative low cost. In the path planning context, the ...
Artículo
On-siteDriverID: A secure authentication scheme based on Spanish eID cards for vehicular ad hoc networks
(Elsevier, 2016)
Security in Vehicle Ad Hoc Networks (VANETs) has been a topic of interest since the origins of vehicular communications. Different approaches have been followed as new security threats have emerged in the last few years. ...
Artículo
Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines
(MDPI, 2019-01)
Multiphase machines are complex multi-variable electro-mechanical systems that are receiving special attention from industry due to their better fault tolerance and power-per-phase splitting characteristics compared with ...