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Listar por palabra clave "Forecasting"

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A Comparison of Forecasting Mortality Models Using Resampling Methods

Atance, David; Debón Aucejo, Ana María; Navarro, Eliseo (MDPI AG, 2020-09)

[EN] The accuracy of the predictions of age-specific probabilities of death is an essential objective for the insurance industry since it dramatically affects the proper valuation of their products. Currently, it is crucial ...
A patient-specific FE-based methodology to simulate prosthesis insertion during an augmentation mammoplasty

Lapuebla-Ferri, Andrés; Perez del Palomar, Amaya; Herrero, Javier; Jimenez Mocholi, Antonio José (Elsevier, 2011)

[EN] Breast augmentation surgery is a widespread practice for aesthetic purposes. Current techniques, however, are not able to reliably predict the desired final aspect of the breast after the intervention, whose success ...
A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control

Soler Fernández, David; Sanz, María T.; Caselles, Antonio; Micó, Joan C. (Elsevier, 2018)

[EN] This paper presents a stochastic dynamic mathematical model to study the evolution of the unemployment rate and other relevant related variables in a country. This model is composed by three basic interrelated subsystems: ...
A stochastic dynamical social model involving a human happiness index

Sanz, María T.; Caselles, Antonio; Micó, Joan C.; Soler Fernández, David (Elsevier, 2018)

[EN] This paper presents a new human happiness index built through five dimensions: development, freedom, solidarity, justice and peace. These five dimensions are evaluated through quantitative variables obtained from the ...
A study on the performance of machine learning algorithms for predicting professional football match outcomes

Pruñonosa Soler, Guillem (Universitat Politècnica de València, 2023-04-18)

[EN] Sporting events, especially those involving competition between teams, involve complex dynamics among the participants that ultimately affect the final outcome. Predicting the outcome of these sporting events in ...
Acoustic insertion loss due to two dimensional periodic arrays ofcircular cylinders parallel to a nearby surface

Krynkin, Anton; Umnova, Olga; Sánchez Pérez, Juan Vicente; Chong, Alvin Yung Boon; Taherzadeh, Shahram; Attenborough, Keith (Acoustical Society of America, 2011)

The acoustical performances of regular arrays of cylindrical elements, with their axes aligned and parallel to a ground plane, have been investigated through predictions and laboratory experiments. Semi-analytical predictions ...
Air quality and urban sustainable development: the application of machine learning tools

Molina-Gómez, N. I.; Díaz-Arévalo, J. L.; López Jiménez, Petra Amparo (Springer-Verlag, 2021-04)

[EN] Air quality has an efect on a population¿s quality of life. As a dimension of sustainable urban development, governments have been concerned about this indicator. This is refected in the references consulted that have ...
Ajuste y pronóstico de la mortalidad: aplicación del modelo de Lee-Carter y sus extensiones para España

Moshuk, Marta (Universitat Politècnica de València, 2012-11-29)

[ES] El presente trabajo se centra en el estudio de las tasas de mortalidad para la población española. Para ello,se utiliza el modelo de Lee-Carter , que en primer lugar se describe en su forma más clásica, para posteriormente, ...
An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks

Han, Tao; Muhammad, Khan; Hussain, Tanveer; Lloret, Jaime; Baik, Sung Wook (Institute of Electrical and Electronics Engineers, 2021-03-01)

[EN] Green energy management is an economical solution for better energy usage, but the employed literature lacks focusing on the potentials of edge intelligence in controllable Internet of Things (IoT). Therefore, in this ...
An interpretable machine learning workflow with an application to economic forecasting

Buckmann, Marcus; Joseph, Andreas (Editorial Universitat Politècnica de València, 2022-09-20)

[EN] We propose a generic workflow for the use of machine learning models to inform decision making and to communicate modelling results with stakeholders. It involves three steps: (1) a comparative model evaluation, (2) ...
Analysis and modelling of value added tax revenues on imports: Some issues of application in Ukraine

Luchko, Mykhayilo; Drozd, I.; Plutytska, K.; Ruska, R.; Vovk, I. (Universitat Politècnica de València, 2021-01-29)

[EN] The aim of the article is to study the issues of analysis, modeling with the purpose of forecasting the payment of value added tax (VAT) on goods, works and services imported as imports into the customs territory of ...
Análisis de datos en edificios inteligentes - Análisis de grupos e identificación de patrones

Sala Cócera, Juan (Universitat Politècnica de València, 2020-04-27)

[EN] The transition towards a more sustainable environment requires the development of new control systems to integrate renewable energy sources into the energy systems and also to model the customer’s behaviour and its ...
Análisis de la previsión de la demanda en la empresa Roquette Laisa España S.A

Gallo Mendez, Genesis (Universitat Politècnica de València, 2020-03-30)

[ES] La empresa Roquette Laisa España S.A. se enfrenta a un problema de estimación de la demanda de varias materias primas que utiliza tanto en la producción de producto final como en procesos internos de limpieza de ...
Análisis predictivo de una serie temporal mediante modelos clásicos : Implementación de AutoGluon como modelo de Deep Learning y la herramienta de visualización Qlik Sense

Amores Coscollá, José Antonio (Universitat Politècnica de València, 2023-09-14)

[ES] El inicio de este proyecto tendrá una base común en la parte de modelos clásicos, compartida con Pedro Javier Vidorreta Fuster. Esto se debe a que existe un problema de asignación de personal dentro de una institución ...
Application of Discrete-Interval Moving Seasonalities to Spanish Electricity Demand Forecasting during Easter

Trull, Óscar; García-Díaz, J. Carlos; Troncoso, Alicia (MDPI AG, 2019-03-02)

[EN] Forecasting electricity demand through time series is a tool used by transmission system operators to establish future operating conditions. The accuracy of these forecasts is essential for the precise development of ...
Big Data sources and methods for social and economic analyses

Blazquez, Desamparados; Domenech, Josep (Elsevier, 2018)

[EN] The Data Big Bang that the development of the ICTs has raised is providing us with a stream of fresh and digitized data related to how people, companies and other organizations interact. To turn these data into knowledge ...
Boundless multiobjective models for cash management

Salas-Molina, Francisco; Rodriguez-Aguilar, Juan A; Pla Santamaría, David (Taylor & Francis, 2018-05-31)

[EN] Cash management models are usually based on a set of bounds that complicate the selection of the optimal policies due to nonlinearity. We here propose to linearize cash management models to guarantee optimality through ...
Breast cancer mortality in Spain: Has it really declined?

Álvaro Meca, A.; Debón Aucejo, Ana María; Gil Prieto, R.; Gil de Miguel, Á. (WB Saunders, 2012-10)

Objectives: In recent years, the incidence of breast cancer has increased in Spain but mortality has decreased, particularly since 1992. Despite the general decrease in mortality, the intensity of this disease differs ...
Critical Duration Index: Anticipating Project Delays From Deterministic Schedule Information

González-Cruz, María-Carmen; Ballesteros-Pérez, Pablo; Lucko, Gunnar; Zhang, Jing-Xiao (American Society of Civil Engineers, 2022-11-01)

[EN] Classical scheduling techniques are well-known to underestimate the average project duration, yet they remain widely used in practice due to their simplicity. In this paper, the new Critical Duration Index (CDI) is ...
Desarrollo de una red neuronal multicapa en java

Linaje Moreno, Francisco (Universitat Politècnica de València, 2018-10-05)

El proyecto tendrá como objetivo el desarrollo de una red neuronal multicapa configurable en java para la empresa NextNight y su red social nextnightapp, sin uso de librerías de inteligencia artificial ya desarrolladas ...