Listar LCC - Artículos por título
Mostrando ítems 48-67 de 67
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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 ... -
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 ... -
SERA: Sistema para la Evaluación y Retroalimentación Automática de Prácticas
(2020-06-10)En este artículo presentamos una sistema modular y altamente configurable que permite no sólo la generación y evaluación automática de prácticas de laboratorio sino también proporcionar una retroalimentación instantánea ... -
Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting
(2021)Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual similarities, where image classification ... -
Software project management with GAs
(2014-10-01)A Project Scheduling Problem consists in deciding who does what during the software project lifetime. This is a capital issue in the practice of software engineering, since the total budget and human resources involved ... -
Some operations preserving primitivity of words
(Elsevier, 2009)We investigate some operations where essentially, from a given word w, the word ww′ is constructed where w′ is a modified copy of w or a modified mirror image of w. We study whether ww′ is a primitive word provided that w ... -
A temporal difference method for multi-objective reinforcement learning
(2019-10-17)This work describes MPQ-learning, an temporal-difference method that approximates the set of all non-dominated policies in multi-objective Markov decision problems, where rewards are vectors and each component stands for ... -
The component model for elementary landscapes and partial neighborhoods
(2014-09-29)Local search algorithms exploit moves on an adjacency graph of the search space. An “elementary landscape” exists if the objective function f is an eigenfunction of the Laplacian of the graph induced by the neighborhood ... -
The software project scheduling problem: A scalability analysis of multi-objective metaheuristics
(2014-10-02)Computer aided techniques for scheduling software projects are a crucial step in the software development process within the highly competitive software industry. The Software Project Scheduling (SPS) problem relates to ... -
TITAN: A knowledge-based platform for Big Data workflow management
(ELSEVIER, 2021-11-28)Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ... -
Using Bayesian networks to improve knowledge assessment
(Elsevier, 2013-01)In this paper, we describe the integration and evaluation of an existing generic Bayesian student model (GBSM) into an existing computerized testing system within the Mathematics Education Project (PmatE - Projecto ... -
Using machine learning techniques for architectural design tracking: An experimental study of the design of a shelter
(Elsevier, 2022-07-22)In this paper, we present a study aimed at tracking and analysing the design process. More concretely, we intend to explore whether some elements of the conceptual design stage in architecture might have an influence on ... -
Using machine learning techniques for architectural design tracking: an experimental study of the design of a shelter
(Elsevier, 2022)In this paper, we present a study aimed at tracking and analysing the design process. More concretely, we intend to explore whether some elements of the conceptual design stage in architecture might have an influence on ... -
Using SPL to Develop AAL Systems Based on Self-adaptive Agents
(Springer, 2016-06)Abstract One of the most important challenges of this decade is the Internet of Things (IoT) that pursues the integration of real-world objects in Internet. One of the key areas of the IoT is the Ambient Assisted Living ... -
Vida artificial: en la encrucijada
(Universidad de Málaga, 2014-06-13)En las últimas décadas, la línea divisoria entre la Biología y las Ciencias de la Computación se ha ido difuminando paulatinamente. Por un lado, una gran cantidad de métodos computacionales (colectivamente conocidos como ... -
Virtual player design using self-learning via competitive coevolutionary algorithms
(Springer, 2014-06)The Google Artificial Intelligence (AI) Challenge is an international contest the objective of which is to program the AI in a two-player real time strategy (RTS) game. This AI is an autonomous computer program that governs ... -
Walk-IT: An Open-Source Modular Low-Cost Smart Rollator
(IOAP-MPDI, 2022-03-08)Rollators are widely used in clinical rehabilitation for gait assessment, but gait analysis usually requires a great deal of expertise and focus from medical staff. Smart rollators can capture gait parameters autonomously ...