Listar LCC - Artículos por título
Mostrando ítems 122-141 de 169
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Padé numerical schemes for the sine–Gordon equation
(Elsevier, 2019)The sine-Gordon equation turn up in several problems in science and engineering. Although it is integrable, in practical applications, its numerical solution is powerful and versatile. Four novel implicit finite difference ... -
Padé numerical schemes with Richardson extrapolation for the sine–Gordon equation
(Elsevier, 2020)Four novel implicit finite difference methods with ( q + s ) -th order in space based on ( q, s )-Padé approximations have been analyzed and developed for the sine-Gordon equation. Specifically, (4,0)-, (2,2)-, (4,2)-, and ... -
Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets
(Elsevier, 2024-02-17)Feature selection has a prominent role in high-dimensional datasets to increase classification accuracy, decrease the learning algorithm computational time, and present the most informative features to decision-makers. ... -
Performance analysis of the Multi‑connection Tactile Internet Protocol over 5G
(Springer Nature, 2023)Tactile Internet is an Internet network that combines ultra-low latency with extremely high availability and reliability. Since traditional protocols, such as UDP and TCP, cannot support this operation, other transport ... -
Personal IoT Privacy Control at the Edge.
(IEEE, 2021-08-18) -
Pollen recognition through an open-source web-based system: automated particle counting for aerobiological analysis
(Springer Nature, 2023-12-20)Airborne pollen is produced by plants for their sexual reproduction and can have negative impacts on public health. The current monitoring systems are based on manual sampling processes which are tedious and time-consuming. ... -
PQ-learning: aprendizaje por refuerzo multiobjetivo
(2013-09)En este artí culo describimos y analizamos PQ-learning, un algoritmo para problemas de aprendizaje por refuerzo multiobjetivo. El algoritmo es una extensi ón de Q-learning, un algoritmo para problemas de aprendizaje ... -
Private set intersection: A systematic literature review
(Elsevier, 2023)Secure Multi-party Computation (SMPC) is a family of protocols which allow some parties to compute a function on their private inputs, obtaining the output at the end and nothing more. In this work, we focus on a particular ... -
Pruning dominated policies in multiobjective Pareto Q-learning
(2019-10-18)The solution for a Multi-Objetive Reinforcement Learning problem is a set of Pareto optimal policies. MPQ-learning is a recent algorithm that approximates the whole set of all Pareto-optimal deterministic policies by ... -
QoE Evaluation: The TRIANGLE Testbed Approach.
(Willey - Hindawi, 2018-12-18)This paper presents the TRIANGLE testbed approach to score the Quality of Experience (QoE) of mobile applications, based on measurements extracted from tests performed on an end-to-end network testbed. The TRIANGLE project ... -
Randomness and control in design processes: an empirical study with architecture students.
(2014-02-12)The aim of this study is to explore designers' preferences between randomness and control in the generation of architectural forms. To this end, a generative computer tool was implemented that allows both random and ... -
Realistic deployment of hybrid wireless sensor networks based on ZigBee and LoRa for search and rescue applications
(IEEE Access, 2022)Search and Rescue operations in emergency response to natural or human catastrophes have the main objective of locating and rescuing potential victims as fast as possible, thus quick response and accurate actions are ... -
Reliable simulation-optimization of traffic lights in a real-world city.
(2019-03-14)In smart cities, when the real-time control of traffic lights is not possible, the global optimization of traffic-light programs (TLPs) requires the simulation of a traffic scenario (traffic flows across the whole city) ... -
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks
(ELSEVIER, 2021-12)Air quality and reduction of emissions in the transport sector are determinant factors in achieving a sustainable global climate. The monitoring of emissions in traffic routes can help to improve route planning and to ... -
Robust Off- and Online Separation of Intracellularly Recorded Up and Down Cortical States
(2007)Background. The neuronal cortical network generates slow (<1 Hz) spontaneous rhythmic activity that emerges from the recurrent connectivity. This activity occurs during slow wave sleep or anesthesia and also in cortical ... -
SAMGRID: Security Authorization and Monitoring Module Based on SealedGRID Platform
(IOAP-MPDI, 2022-08-30)IoT devices present an ever-growing domain with multiple applicability. This technology has favored and still favors many areas by creating critical infrastructures that are as profitable as possible. This paper presents ... -
Search based algorithms for test sequence generation in functional testing
(2014-10-03)The generation of dynamic test sequences from a formal specification, complementing traditional testing methods in order to find errors in the source code. Objective In this paper we extend one specific combinatorial ... -
Selfo: A class of self-organizing connection games
(2007)Selfo is defined as a class of abstract strategy board games subscribed to the category of connection games. Its name derives from the phenomenon of self-organization (i.e. the increase in a system’s organization without ... -
Semantic modelling of Earth Observation remote sensing
(ELSEVIER, 2022-01)Earth Observation (EO) based on Remote Sensing (RS) is gaining importance nowadays, since it offers a well-grounded technological framework for the development of advanced applications in multiple domains, such as climate ...