Listar LCC - Artículos por título
Mostrando ítems 139-158 de 161
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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 Benefits of Blockchain Technology for Medical Tourism
(MDPI, 2021-11)The paper discusses the benefits of blockchain technology for medical tourism. The major focus is placed on pre-procedure and post-procedure of medical tourism. The authors argue that blockchain technology can facilitate ... -
The competitive balance of UEFA and CONMEBOL football leagues: on managing the number of teams in league design
(Wiley, 2024-01-07)This article augments the literature on the analysis of competitive balance, encompassing its measurement, comparisons across leagues and seasons, and ramifications for league management. Central to our examination is the ... -
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 effect of downsampling-upsampling strategy on foreground detection algorithms
(Springer Nature, 2020)In video surveillance systems which incorporate stationary cameras, the first phase of movement object detection is crucial for the correct modelling of the behavior of these objects, as well as being the most complex in ... -
The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments: A Search and Rescue Case Study
(MPDI, 2021)Cloud robotics exploits the Internet of things (IoT) for the convergence of shared infrastructure and services for robotics, ranging from using computational resources in the cloud (infrastructure as a service, IaaS) to ... -
The orchestration of Machine Learning frameworks with datastreams and GPU acceleration in Kafka-ML: A deep-learning performance comparative
(Wiley, 2023)Machine Learning (ML) applications need large volumes of data to train their modelsso that they can make high-quality predictions. Given digital revolution enablers suchas the Internet of Things (IoT) and the Industry 4.0, ... -
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 ... -
The use of observations of soft X-rays and protons in the UMASEP scheme for making real-time predictions of the SEP events that took place in july and september 2017
(IOAP-MDPI, 2022-01-07)The prediction of solar energetic particle (SEP) events may help to improve the mitigation of adverse effects on humans and technology in space. UMASEP (University of Málaga Solar particle Event Predictor) is an empirical ... -
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. ... -
Towards an ontology-driven clinical experience sharing ecosystem: demonstration with liver cases
(ELSEVIER, 2018)Past medical cases, hence clinical experience, are invaluable resources in supporting clinical practice, research, and education. Medical professionals need to be able to exchange information about patient cases and explore ... -
Transforming numerical feature models into propositional formulas and the universal variability language
(Elsevier, 2023)Real-world Software Product Lines (SPLs) need Numerical Feature Models (NFMs) whose features have not only boolean values that satisfy boolean constraints but also have numeric attributes that satisfy arithmetic constraints. ... -
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 ... -
UTypes: a library for uncertain datatypes in Python
(Elsevier, 2024-03-05)Existing Python uncertainty packages support the expression and propagation of uncertainty in numeric types, such as float or int. However, they do not cover the rest of the built-in types which can also be affected by ... -
Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images
(IOS Press, 2018)The automatic detection and classification of vehicles in traffic sequences is a typical task which is carried out in many practical video surveillance systems. The advent of deep learning has facilitated the design of ... -
Verification of a multi-connectivity protocol for Tactile Internet applications
(Elsevier, 2023-10-26)Tactile Internet refers to a network that enables real-time, high-reliability haptic communication and control between humans, machines, and objects over the Internet. Tactile Internet applications include the remote control ... -
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 ...