Listar LCC - Artículos por título
Mostrando ítems 50-69 de 171
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Data driven tools to assess the location of photovoltaic facilities in urban areas
(Elsevier, 2022-10-01)Urban sustainability is a significant factor in combating climate change. Replacing polluting by renewable energies is fundamental to reduce the emission of greenhouse gases. Photovoltaic (PV) facilities harnessing solar ... -
Designing problem-specific operators for solving the Cell Switch-Off problem in ultra-dense 5G networks with hybrid MOEAs
(Elsevier, 2023)The massive deployment of base stations is one of the key pillars of the fifth generation (5G) of mobile communications. However, this network densification entails high energy consumption that must be addressed to enhance ... -
Detecting feature influences to quality attributes in large and partially measured spaces using smart sampling and dynamic learning
(Elsevier, 2023)Emergent application domains (e.g., Edge Computing/Cloud/B5G systems) are complex to be built manually. They are characterised by high variability and are modelled by large Variability Models (VMs), leading to large ... -
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size
(Elsevier, 2023-11-17)Autonomous driving requires information such as the velocity of other vehicles to prevent potential hazards. This work proposes a real-time deep learning-based framework to estimate vehicle speeds from image captures through ... -
Determining drivers of private equity return with computational approaches
(Springer, 2024)Private equity (PE) represents the acquisition of stakes in non-listed companies, often long-term, with the objective of improving the performance and value of the company to obtain significant benefits at time of ... -
Development and Implementation of a Hybrid Wireless Sensor Network of Low Power and Long Range for Urban Environments
(MDPI, 2021)The urban population, worldwide, is growing exponentially and with it the demand for information on pollution levels, vehicle traffic, or available parking, giving rise to citizens connected to their environment. This ... -
Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices
(Elsevier, 2022)The number of devices, from smartphones to IoT hardware, interconnected via the Internet is growing all the time. These devices produce a large amount of data that cannot be analyzed in any data center or stored in the ... -
Dynamic learning rates for continual unsupervised learning.
(IOS Press, 2023)The dilemma between stability and plasticity is crucial in machine learning, especially when non-stationary input distributions are considered. This issue can be addressed by continual learning in order to alleviate ... -
Edge-Assisted Vehicular Networks Security.
(2019)Edge Computing paradigms are expected to solve some major problems affecting current application scenarios that rely on Cloud computing resources to operate. These novel paradigms will bring computational resources ... -
Effect of the initial conditions on a one-dimensional model of small-amplitude wave propagation in shallow water: II: Blowup for nonsmooth conditions.
(Emerald, 2023-11-27)Abstract Purpose – The purpose of this paper is to analyze numerically the blowup in finite time of the solutions to a one-dimensional, bidirectional, nonlinear wave model equation for the propagation of small-amplitude ... -
Efficient anytime algorithms to solve the bi-objective Next Release Problem
(2019-06-27)The Next Release Problem consists in selecting a subset of requirements to develop in the next release of a software product. The selection should be done in a way that maximizes the satisfaction of the stakeholders while ... -
Elementary landscape decomposition of the 0-1 unconstrained quadratic optimization
(2014-10-01)Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape ... -
Elementary landscape decomposition of the frequency assignment problem
(2014-09-30)The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph ... -
Embryomorphic Engineering: Emergent innovation through evolutionary development
(2014-01-07)Embryomorphic Engineering, a particular instance of Morpho-genetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized ... -
Emergent diversity in an open-ended evolving virtual community
(MIT Press, 2012)Understanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under ... -
Empirical analysis of the tool support for software product lines
(Springer, 2022-06-08)For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ... -
Energy-efficient reprogramming in wsn using constructive neural networks.
(International Journal of Innovative Computing, Information and Control, 2012-11)In this paper, we propose the use of neural based technologies to carry out the dynamic reprogramming of wireless sensor networks as an alternative to traditional methodology. An analysis an comparison of the energy cost ... -
Ensemble ellipse fitting by spatial median consensus
(2021)Ellipses are among the most frequently used geometric models in visual pattern recognition and digital image analysis. This work aims to combine the outputs of an ensemble of ellipse fitting methods, so that the deleterious ... -
Ensemble methods for meningitis aetiology diagnosis
(Wiley, 2022-03-18)In this work, we explore data-driven techniques for the fast and early diagnosis concerning the etiological origin of meningitis, more specifically with regard to differentiating between viral and bacterial meningitis. We ... -
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
(Elsevier, 2023)Explainable Artificial Intelligence (XAI) makes AI understandable to the human user particularly when the model is complex and opaque. Local Interpretable Model-agnostic Explanations (LIME) has an image explainer package ...