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Artículo
Applicability of User Experience and Usability Questionnaires
(J.UCS consortium, 2019)
To be successful, interactive products need to fulfil user expectations and create a positive user experience (UX). An established method to measure UX involves questionnaires. What we aim in this paper is to present a ...
Artículo
Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities
(MDPI, 2018)
New technologies such as sensor networks have been incorporated into the management of buildings for organizations and cities. Sensor networks have led to an exponential increase in the volume of data available in recent ...
Artículo
A portable ECG for recording and flexible development of algorithms and stress detection
(ScienceDirect, 2020)
Cardiovascular diseases are directly or indirectly responsible for up to 38.5% of all deaths in Germany and thus represent the most frequent cause of death. At present, heart diseases are mainly discovered by chance during ...
Artículo
Improving Semantic Web Services Discovery Using SPARQL-Based Repository Filtering
(Elsevier, 2012)
Semantic Web Services discovery is commonly a heavyweight task, which has scalability issues when the number of services or the ontology complexity increase, because most approaches are based on Description Logics reasoning. ...
Artículo
Feature models to boost the vulnerability management process
(Elsevier Inc., 2023-01)
Vulnerability management is a critical and very challenging process that allows organisations to design a procedure to identify potential vulnerabilities, assess the level of risk, and define remediation mechanisms to ...
Artículo
CarGene: Characterisation of sets of genes based on metabolic pathways analysis
(Inderscience, 2011)
The great amount of biological information provides scientists with an incomparable framework for testing the results of new algorithms. Several tools have been developed for analysing gene-enrichment and most of them ...
Artículo
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
(World Scientific, 2021)
In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural networks have successfully been applied to address time series forecasting problems, which is a ...
Artículo
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
(Elsevier, 2018)
Many algorithms have emerged to address the discovery of quantitative association rules from datasets in the last years. However, this task is becoming a challenge because the processing power of most existing techniques ...
Artículo
Lean requirements traceability automation enabled by model-driven engineering
(PeerJ, 2022)
Background: The benefits of requirements traceability, such as improvements in software product and process quality, early testing, and software maintenance, are widely described in the literature. Requirements traceability ...
Artículo
Blockchains for Business Process Management - Challenges and Opportunities
(ACM Digital Library, 2018)
Blockchain technology offers a sizable promise to rethink the way interorganizational business processes are managed because of its potential to realize execution without a central party serving as a single point of trust ...