Das, Anjana P.; Thampi, Sabu M.; Lloret, Jaime(Springer-Verlag, 2020-02)
[EN] Underwater acoustic sensor network (UASN) offers a promising solution for exploring underwater resources remotely. For getting a better understanding of sensed data, accurate localization is essential. As the UASN ...
[EN] Load profiles of energy consumption from smart meters are becoming more and more available, and the amount of data to analyse is huge. In order to automate this analysis, the application of state-of-the-art data mining ...
Miralles Ricós, Ramón; Carrión García, Alicia; Looney, D.; Lara Martínez, Guillermo-Fernán; D. Mandic(Acoustical Society of America, 2015-09)
Extracting frequency-derived parameters allows for the identification and characterization of acoustic events, such as those obtained in passive acoustic monitoring applications. Situations where it is difficult to achieve ...
In this paper two multivariate statistical methodologies are compared in order to estimate a multi-input multi-output transfer function model in an industrial polymerization process. In these contexts, process variables ...
Navarrete-López, Claudia Fernanda; Herrera Fernández, Antonio Manuel; Brentan, B. M.; Luvizotto Jr., E.; Izquierdo Sebastián, Joaquín(MDPI AG, 2019-02)
[EN] Epidemiology-based models have shown to have successful adaptations to deal with challenges coming from various areas of Engineering, such as those related to energy use or asset management. This paper deals with urban ...
[EN] Over decades RAG has collected spatial data from different sensors for the purpose of monitoring and analyzing ground movement caused by underground hard coal mining activities. With monitoring scopes from small ...
Xu, Haiyan; Li, Xiaoping; Ruiz García, Rubén; Zhu, Haihong(Institute of Electrical and Electronics Engineers, 2021-05)
[EN] In this paper, we consider single-machine group scheduling with nonperiodical maintenance and deteriorating effects. Nonperiodical maintenance, which has unfixed maintaining interval or the number of jobs in each group ...
Lechiguero Simó, Bruno(Universitat Politècnica de València, 2015-06-04)
[EN] This study develops different univariate and multivariate time series models for spanish electricity load demand and price and compares the predictive accuracy. We have analized the load demand influence on the price ...
Matossian, Robin(Universitat Politècnica de València, 2022-10-20)
[ES] Las economías de hoy forman un núcleo complejo de relaciones económicas y sociales. Por lo tanto, la aplicación de las Políticas Fiscal y Monetaria implica incertidumbre debido a la naturaleza dinámica de las economías ...
de Zarzà, I.; de Curtò, J.; Roig, Gemma; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-11)
[EN] With the rise in traffic congestion in urban centers, predicting accidents has become paramount for city planning and public safety. This work comprehensively studied the efficacy of modern deep learning (DL) methods ...
Chico Fernández, Jesús(Universitat Politècnica de València, 2013-01-03)
[ES] Modelo estocástico para el análisis de los consumos de agua caliente y fría en un hotel, este trabajo se presenta la producción de un modelo que genera series de consumos de agua ficticios de una habitación de un ...
Contaminated water resources have important implications on health and the environment. Nitrate contamination of the groundwater is a serious problem in the European Union. A method based on the statistical process control ...
Giner Bosch, Vicent; Cabrerizo Cabanos, Majarlika María; Debón Aucejo, Ana María(Instituto Nacional de Estadística, 2016)
[EN] The evolution of mortality is a key global concern from both an economic and
social point of view. In particular, being able to detect and predict changes in
mortality compared to its expected behaviour as accurately ...
[EN] A strong innovative tendency is nowadays emerging that largely comprises new hydrological modelling ap-proaches, based on Causal Reasoning through Probabilistic Graphical Modelling (PGM), because its abilit y to support ...
Sanjuan Silvestre, Sergi(Universitat Politècnica de València, 2023-09-18)
[ES] La ganadería de precisión es una técnica moderna que utiliza tecnología avanzada, como sensores, dispositivos de seguimiento y análisis de datos, para monitorear y administrar de manera eficiente la cría y el manejo ...
The ANTARES telescope is well-suited for detecting astrophysical transient neutrino
sources as it can observe a full hemisphere of the sky at all times with a high duty cycle.
The background due to atmospheric particles ...
The complete understanding of the mechanisms leading to the initiation, maintenance and self-termination of atrial fibrillation (AF) still is an unsolved challenge for cardiac electrophysiology. Studies in which AF has ...