SOLÍS MARTÍN , David

his paper presents the data-driven techniques and method ologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature. The solution presented is based on two Deep Con volutional Neural Networks (DCNN) stacked in two levels. The first DCNN is used to extract a low-dimensional...

In this paper we present a multi-agent platform designed to support p2p auctions on agricultural products. Experiments show that it could be feasible to integrate a platform, which is de-centralized by nature, into the current socioeconomic environment. The reason is that this market is managed by hard-centralized ecosystem, and...

This paper introduces ASAP, a framework for the development of mobile gamification of problems where Complex Systems play a fundamental role. This framework allows adding a layer of gamification concepts over a set of multi-agent systems for the raw modeling of the problem. Over it, a layer of data acquisition can be added in order to apply...

Introduction and Hypothesis The objective was to create and validate the usefulness of a convolutional neural network (CNN) for identifying different organs of the pelvic floor in the midsagittal plane via dynamic ultrasound. Methods This observational and prospective study included 110 patients. Transperineal ultrasound scans were performed...