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Mostrando ítems 31-40 de 58
Artículo
Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market
(MDPI, 2021)
The importance of electricity in people’s daily lives has made it an indispensable commodity in society. In electricity market, the price of electricity is the most important factor for each of those involved in it, ...
Artículo
Discovering business process simulation models in the presence of multitasking and availability constraints
(Elsevier, 2021)
Business process simulation is a versatile technique for quantitative analysis of business processes. A well-known limitation of process simulation is that the accuracy of the simulation results is limited by the ...
Artículo
Variability models for generating efficient configurations of functional quality attributes
(Elsevier, 2018)
Context: Quality attributes play a critical role in the architecture elicitation phase. Software Sustainability and energy efficiency is becoming a critical quality attribute that can be used as a selection criteria to ...
Artículo
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach
(Elsevier, 2021)
Triclustering algorithms group sets of coordinates of 3-dimensional datasets. In this paper, a new triclustering approach for data streams is introduced. It follows a streaming scheme of learning in two steps: offline ...
Artículo
Assessment of C++ object-oriented mutation operators: A selective mutation approach
(Wiley, 2017)
Mutation testing is an effective but costly testing technique. Several studies have observed that some mutants can be redundant and therefore removed without affecting its effectiveness. Sim ilarly, some mutants may be ...
Artículo
A Mashup-based Framework for Business Process Compliance Checking
(IEEE Computer Society, 2020)
Business process compliance ensures that the business processes of an organisation are designed and executed according to the rules that enforce the compliance controls that govern the company. We faced the challenge of ...
Artículo
UX Poker: Estimating the Influence of User Stories on User Experience in Early Stage of Agile Development
(UNIR, 2022-11-28)
Agile methods are used more and more frequently to develop products by reducing development time. Requirements are typically written in user stories or epics. In this paper, a new method called UX Poker is presented. This ...
Artículo
Uniform and scalable sampling of highly configurable systems
(Springer, 2022)
Many analyses on confgurable software systems are intractable when confronted with colossal and highly-constrained confguration spaces. These analyses could instead use statistical inference, where a tractable sample ...
Artículo
MCFS: Min-cut-based feature-selection
(Elsevier, 2020)
In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our ...
Artículo
Statistical validation of synthetic data for lung cancer patients generated by using generative adversarial networks
(MDPI, 2022)
The development of healthcare patient digital twins in combination with machine learning technologies helps doctors in therapeutic prescription and in minimally invasive intervention procedures. The confidentiality of ...