Lopez Garcia, Alvaro; Marco De Lucas, Jesús; Antonacci, Marica; Zu Castell, Wolfgang; David, Mario; Hardt, Marcus; Lloret Iglesias, Lara; Moltó, Germán; Plociennik, Marcin; Tran, Viet; Alic, Andrei Stefan; Caballer Fernández, Miguel; Campos Plasencia, Isabel; Costantini, Alessandro; Dlugolinsky, Stefan(Institute of Electrical and Electronics Engineers, 2020-01-06)
[EN] In this paper we propose a distributed architecture to provide machine learning practitioners with a set of tools and cloud services that cover the whole machine learning development cycle: ranging from the models ...
Iranzo Sánchez, Javier(Universitat Politècnica de València, 2018-09-11)
[EN] Machine Translation (MT) is one of the most active areas in Artificial Intelligence,
particularly in Pattern Recognition. MT has recently received a great deal of attention
by key technology players such as Google, ...
Lorente-Leyva, Leandro L.; Alemany Díaz, María Del Mar; Peluffo-Ordóñez, Diego H.; Herrera-Granda, Israel D.(Springer-Verlag, 2021-01-07)
[EN] This document presents a comparison of demand forecasting methods, with the aim of improving demand forecasting and with it, the production planning system of Ecuadorian textile industry. These industries present ...
Carreño-Alvarado, Elizabeth P.; Reynoso-Meza, Gilberto; Montalvo, Idel; Izquierdo Sebastián, Joaquín(International Center for Numerical Methods in Engineering (CIMNE), 2017-07-05)
[EN] Leak detection and isolation (LDI) is a problem of interest for water management companies
and their technical staff. Main reasons for this are that early detection of leakages can reduce
dramatically (1) water ...
Abad Martínez, Javier(Universitat Politècnica de València, 2020-07-30)
[EN] Breast cancer is currently the leading cause of death due to cancer in women, after lung cancer. For its diagnosis and staging, detection of metastatic tissue in axillary lymph nodes is occasionally used, since lymphatic ...
Hussain, Tanveer; Muhammad, Khan; Ding, Weiping; Lloret, Jaime; Baik, Sung Wook; de Albuquerque, Victor Hugo C.(Elsevier, 2021-01)
[EN] There has been an exponential growth in the amount of visual data on a daily basis acquired from single or multi-view surveillance camera networks. This massive amount of data requires efficient mechanisms such as ...
[EN] In this work, we present a dataset which provides information on the scientific program of a set conferences of Machine Learning. Data were extracted from the IEEE Xplore Digital Library and the official web site of ...
[EN] Water distribution system monitoring is currently carried out using advanced real-time control technologies to achieve a higher operational efficiency. Data analysis techniques can be implemented for condition estimation, ...
Martínez Martínez, Francisco; Rupérez Moreno, María José; Martínez-Sober, M.; Solves Llorens, Juan Antonio; Lorente, D.; Serrano-Lopez, A.J.; Martinez-Sanchis, Sandra; Monserrat, C.; Martin-Guerrero, J.D.(Elsevier, 2017-11-01)
[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed ...
Lorente, D.; Martínez-Martínez, F.; Rupérez Moreno, María José; Lago, M. A.; Martínez-Sober, M.; Escandell-Montero, P.; Martínez-Martínez, J. M.; Martínez-Sanchis, S.; Serrano-López, A.J.; Monserrat, C.; Martín-Guerrero, J.D.(Elsevier, 2017-04-01)
Progress in biomechanical modelling of human soft tissue is the basis for the development of new clinical applications capable of improving the diagnosis and treatment of some diseases (e.g. cancer), as well as the surgical ...
Díaz-Alejo León, Stéphane(Universitat Politècnica de València, 2021-09-07)
[EN] Load forecasting models have drawn attention over the last decade, due to the fact that are of great help to the modernization of the power grid, and consequently, to the environment. In particular, models that use ...
Williams, Peter; Reynolds, Robert(Editorial Universitat Politècnica de València, 2024-02-12)
[EN] We present a new corpus of Czech texts labeled for second-language readability, and show results of experiments to train machine-learning classifiers to automatically label new texts according to reading level. We ...
[EN] In recent times, health applications have been gaining rapid popularity in smart cities using the Internet of Medical Things (IoMT). Many real-time solutions are giving benefits to both patients and professionals for ...
[EN] Machining processes, including turning, are a critical capability for discrete part production. One limitation to high material removal rates and reduced cost in these processes is chatter, or unstable spindle speed-chip ...
[EN] Machine learning is a powerful tool used across research all over the world. Machine learning algorithms are a form of artificial intelligence that allows more accurate predictions of causal conditions of all kinds, ...
[EN] Nowadays, network infrastructures such as Software Defined Networks (SDN) achieve a huge computational power. This allows to add a high processing on the network nodes. In this paper, a multimedia traffic management ...
[EN] Serverless computing and, in particular, the functions as a service model has become a convincing paradigm for the development and implementation of highly scalable applications in the cloud. This is due to the ...
[EN] Continuous monitoring of diabetic patients improves their quality of life. The use of multiple technologies such as the Internet of Things (IoT), embedded systems, communication technologies, artificial intelligence, ...
[EN] Diabetic patients need ongoing surveillance, but this involves high costs for the government and family. The combined use of information and communication technologies (ICTs), artificial intelligence and smart devices ...
Picón, Artzai; Rodríguez-Vaamonde, Sergio; Jaén Martínez, Francisco Javier; Mocholí Agües, Juan Bautista; García, David; Cadenas, Alejandro(Elsevier, 2012-01)
[EN] Mobile devices are undergoing great advances in recent years allowing users to access an increasing number of services or personalized applications that can help them select the best restaurant, locate certain shops, ...