Lenguajes y Ciencias de la Computación - (LCC): Envíos recientes
Mostrando ítems 21-40 de 662
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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 ... -
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons.
(Elsevier, 2011-10-18)C-Mantec is a novel neural network constructive algorithm that combines competition between neurons with a stable modified perceptron learning rule. The neuron learning is governed by the thermal perceptron rule that ... -
Blockchain Technology for Smart Tourism Destinations
(MDPI, 2020-11-21)Este artículo conceptual discute el potencial de la tecnología blockchain en el área de destinos turísticos inteligentes. -
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 ... -
A blockchain approach for decentralized V2X (D-V2X)
(IEEE, 2021-05)New mobility paradigms have appeared in recent years, and everything suggests that some more are coming. This fact makes apparent the necessity of modernizing the road infrastructure, the signalling elements and the traffic ... -
Learning Multi-Party Adversarial Encryption and Its Application to Secret Sharing
(2022-11)Neural networks based cryptography has seen a significant growth since the introduction of adversarial cryptography which makes use of Generative Adversarial Networks (GANs) to build neural networks that can learn encryption. ... -
Middleware and communication technologies for structural health monitoring of critical infrastructures: a survey
(Elsevier, 2018-02)Critical Infrastructure Protection (CIP) has become a priority for every country around the world with the aim of reducing vulnerabilities and improving protection of Critical Infrastructures (CI) against terrorist attacks ... -
Integrating Blockchain in safety-critical systems: an application to the nuclear industry
(IEEE, 2020-10)Safety-Critical Systems (SCSs) often manage sensible data that must be trustworthy, especially in many cases in which different actors participate whose interests may not coincide. Blockchain is a disruptive technology ... -
Wireless sensor networks and structural health monitoring: Experiences with slab track infrastructures
(SAGE, 2019)Slab track systems have the potential to become a more sustainable option for high-speed railway infrastructures than traditional ballasted tracks. Traditionally, the systems that monitor these infrastructures have been ... -
Content-based image retrieval by ensembles of deep learning object classifiers.
(2020-05-20)Ensemble learning has demonstrated its efficiency in many computer vision tasks. In this paper, we address this paradigm within content based image retrieval (CBIR). We propose to build an ensemble of convolutional neural ... -
Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences
(2019-06-07)A robust foreground detection system is presented, which is resilient to noise in video sequences. The proposed model divides each video frame in patches that are fed to a stacked denoising autoencoder, which is responsible ... -
Smart motion detection sensor based on video processing using self-organizing maps
(Elsevier, 2016)Most current approaches to computer vision are based on expensive, high performance hardware to meet the heavy computational requirements of the employed algorithms. These system architectures are severely limited in their ... -
Foreground detection by competitive learning for varying input distributions
(World Scientific Publishing, 2018)One of the most important challenges in computer vision applications is the background modeling, especially when the background is dynamic and the input distribution might not be stationary, i.e. the distribution of the ... -
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 ... -
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 ... -
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 ... -
BH-ShaDe: a software tool that assists architecture students in the ill-structured task of housing design
(IEEE Transactions on Learning Technologies, 2016)In this paper, we present BH-ShaDe, a new software tool to assist architecture students learning the ill-structured domain/task of housing design. The software tool provides students with automatic or interactively generated ... -
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 ... -
A fast robust geometric fitting method for parabolic curves.
(Elsevier, 2018-07-18)Fitting discrete data obtained by image acquisition devices to a curve is a common task in many fields of science and engineering. In particular, the parabola is some of the most employed shape features in electrical ... -
BIGOWL4DQ: ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
(Elsevier, 2023-11-27)Context: Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data is required for a successful analysis. Measurement and evaluation of the level of quality ...