Climent Aunés, Laura Isabel(Universitat Politècnica de València, 2014-01-07)
Constraint programming is a paradigm wherein relations between variables are stated in the form of constraints. It is well-known that many real life problems can be modeled as Constraint Satisfaction Problems (CSPs). Much ...
Salido Gregorio, Miguel Angel; Barber Sanchís, Federico; Ingolotti Hetter, Laura Paola(Elsevier, 2012-12-15)
[EN] Railway scheduling has been a significant issue in the railway industry. Over the last few years, numerous approaches and tools have been developed to compute railway scheduling. However, robust solutions are necessary ...
Climent Aunés, Laura Isabel; Salido Gregorio, Miguel Angel; Barber Sanchís, Federico(ICIC International, 2012)
[EN] Constraint programming is a successful technology for solving combinatorial
problems modeled as constraint satisfaction problems (CSPs). Many real life problems are
dynamic, which means that the initial description ...
Gonzalez, A.; García Gil, Pedro José; Albertos Pérez, Pedro; Castillo, P; Lozano, R.(International Federation of Automatic Control, 2012-11-01)
A predictor-based controller for time-varying delay systems is presented in this paper and its robustness properties for different uncertainties are analyzed. First, a time-varying delay dependent stability condition is ...
Buitrago, Manuel; Makoond, Nirvan Chandra; Moragues, Juan J; Sagaseta, Juan; Adam, Jose M(Elsevier, 2023-06)
[EN] Although many analytical and experimental studies have been carried out to date on the progressive collapse and robustness of cast-in-place reinforced concrete (RC) and steel building structures, very few experimental ...
Molero-Alabau, Rubén; González-Ascaso, Ana; Climent, Andreu M.; Guillem Sánchez, María Salud(Elsevier, 2023-03)
[EN] Introduction: Electrocardiographic Imaging is a non-invasive technique that requires cardiac Imaging for the reconstruction of cardiac electrical activity. In this study, we explored imageless ECGI by quantifying the ...
[EN] In this work we are going to talk about the control algorithms. To explain this topic, first, we start explaining some history of control processes and why we needed it. Then we follow with an MPC introduction and ...
The aim of our study is to obtain theoretical limits for the gain that can be expected when using handover prediction and to determine the sensitivity of the system performance against different parameters. We apply an ...
[EN] Due to the safety awareness arisen from natural and human-caused disasters, robustness design of building is increasingly important to ensure the stability of the building and to prevent progressive collapse. For this ...
Buitrago, Manuel; Bertolesi, Elisa; Juan Sagaseta; Calderón García, Pedro Antonio; Adam, Jose M(Elsevier, 2021-01-01)
[EN] Structural robustness is a significant property towards improving resilience of buildings, i.e. enhance their ability to withstand and recover from extreme events which often can cause local damage and progressive ...
Buitrago, Manuel; Bertolesi, Elisa; Calderón García, Pedro Antonio; Adam, Jose M(Elsevier, 2021-02)
[EN] This study aimed to experimentally analyse the robustness of riveted steel bridges based on truss-type structures and to define practical recommendations for early detection of local failures before they cause progressive ...
[EN] This paper proposes a method to measure robustness of weighted goal programming
(WGP) models by focusing on random percentage changes in the set of observed
technological coefficients that characterize the goal ...
Gracia Calandin, Luis Ignacio; Angeles, J.(SAGE Publications, 2011)
A robust approach to computational kinematics intended to cope with algorithmic singularities is introduced in this article. The approach is based on the reduction of the original system of equations to a subsystem of ...
Barber Sanchís, Federico; Salido Gregorio, Miguel Angel(Universitat Politècnica de València, 2013-05-17)
Many real-world problems in Artificial Intelligence (AI) as well as in other areas of computer science and engineering can be efficiently modeled and solved using constraint programming techniques. In many real-world ...
Barber Sanchís, Federico; Salido Gregorio, Miguel Angel(Universitat Politècnica de València, 2011-04-11)
Many real-world problems in Artificial Intelligence (AI) as well as in other areas of computer science and engineering can be efficiently modeled and solved using constraint programming techniques. In many real-world ...
Barber Sanchís, Federico; Salido Gregorio, Miguel Angel(Springer, 2015-09)
Many real-world problems in Artificial Intelligence (AI) as well as in other areas of
computer science and engineering can be efficiently modeled and solved using constraint programming
techniques. In many real-world ...
Receiver Operating Characteristic (ROC) analysis is one of the most popular tools for the visual assessment and understanding of classifier performance. In this paper we present a new representation of regression models ...
ROC curves and cost curves are two popular ways of visualising classifier performance, finding appropriate thresholds according to the operating condition, and deriving useful aggregated measures such as the area under the ...
Pérez Igualada, Javier(Universitat Politècnica de València, 2019-04-30)
[EN] The concept of Group-Form, proposed in 1964 by Fumihiko Maki and Masato Othaka, can be applied to the field of urban design, as an interpretation principle for landscape architecture. We will examine the validity of ...
Moreno Ramón, Héctor; Ibañez Asensio, Sara; Gisbert Blanquer, Juan Manuel(Universitat Politècnica de València, 2012-07-16)
Las Rocas sedimentarias se dividen en tres grandes grupos, detriticas, quimicas y organicas. Las quimicas y bioquimicas son aquellas en las que algun proceso quimico tiene influencia.