Search results for " Network"
showing 10 items of 6428 documents
Discriminating and simulating actions with the associative self-organising map
2015
We propose a system able to represent others’ actions as well as to internally simulate their likely continuation from a partial observation. The approach presented here is the first step towards a more ambitious goal of endowing an artificial agent with the ability to recognise and predict others’ intentions. Our approach is based on the associative self-organising map, a variant of the self-organising map capable of learning to associate its activity with different inputs over time, where inputs are processed observations of others’ actions. We have evaluated our system in two different experimental scenarios obtaining promising results: the system demonstrated an ability to learn discrim…
A real life comparison of the efficacy of adalimumab versus golimumab in moderate-to-severe ulcerative colitis. A multicenter experience from the sic…
2017
Introduction: Adalimumab (ADA) and golimumab (GOL) are effective in the induction and maintenance treatment of moderate-to-severe ulcerative colitis (UC). No comparable data between the 2 drugs are available up to now. Aims & Methods: We reported the Sicilian Network experience on the comparative efficacy of ADA and GOL in patients (pts) with moderate-to-severe UC. From June 2015 until April 2017, 197 consecutive pts with moderate to severe UC were treated with ADA or GOL. The efficacy was evaluated at 8 week and at the end of the follow up considering ‘‘clinical response’’ (reduction of at least 2 points of Partial Mayo Score with concomitant steroid reduction or discontinuation) and “…
Joint Optimization of Sensor Selection and Routing for Distributed Estimation in Wireless Sensor Networks
2014
Avances recientes en redes inalámbricos de sensores (WSNs, Wireless Sensor Networks) han posibilitado que pequeños sensores, baratos y con recursos limitados tanto en sensado, comunicación, como en computación, sean desplegados a gran escala. En consecuencia, las WSNs pueden ofrecer diversos servicios en importantes aplicaciones para la sociedad. Entre las varias restricciones que aparecen en el diseño de WSNs, tales como la limitación en energía disponible, procesamiento y memoria, la limitación en energía es muy importante ya que en muchas aplicaciones (ej., monitorización remota de diferentes entornos, edificios administrativos, monitoreo del hábitat, los incendios forestales, la atenció…
Young generation and accessibility to health dissemination: TikTok as a case study.
2022
Social media interactions represent an accessible way for young people to get health information and provide a form of public discourse about health. It is against this backdrop that experts and other health professionals have turned to digital platforms (e.g., TikTok) to share educational content about timely or touchy topics, and to spread awareness, specifically among younger users. This paper aims to explore these digital platforms where professionals provide health information that is specifically tailored for a young audience and attempts to explore the discursive negotiation of healthcare and health accessibility in digital social settings. In light of a social media critical discour…
Semantically-enhanced advertisement recommender systems in social networks
2017
El objetivo principal de la investigación es estudiar y diseñar un entorno de recomendación publicitaria en las redes sociales que puede ser enriquecido mediante tecnologías semánticas. A pesar de que existen muchas aplicaciones y soluciones para los sistemas de recomendación, en este estudio se diseña un framework robusto con un rendimiento adecuado para poder ser implementado en las redes sociales con el objetivo de ampliar los propósitos de negocio. De este objetivo principal se pueden derivar los siguientes objetivos secundarios: 1. Superar las limitaciones iniciales de los métodos clásicos de recomendación. 2. Aumentar la calidad y precisión de las recomendaciones y el rendimiento del …
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series
2021
Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…
Hyvää verkko-opetusta etsimässä: oppimista edistävät ja estävät tekijät verkko-oppimisympäristöissä – opiskelijoiden kokemuksen ja opettajien arviot
2003
Tutkimuksen tarkoituksena oli selvittää opiskelijoiden ja opettajien käsityksiä hyvästä verkko-opetuksesta ja -opiskelusta. Tutkimuksessa keskityttiin erityisesti verkko- opettajan roolin ja tehtävien tarkasteluun. Verkko-opetusta tutkittiin osana opetus-opiskelu-oppiminen prosessia (Uljens 1997, Kansanen 1999). Hyvän verkko-opettajan ominaisuuksia etsittiin tehokkaan opettajan kriteerien (Tirri 1993), opettajan pedagogisen ajattelun ja verkko-opettajatutkimuksien lähtökohdista käsin. Mielekäs oppiminen määriteltiin Jonassenin (1995) esittämien kriteerien lähtökohdista. Tutkimuksen empiirinen aineisto koostui vuosina 1995-1999 Helsingin yliopiston virtuaalisen avoimen yliopiston (HEVI) ja A…
Statistical Regularities in ATM: network properties, trajectory deviations and delays
2012
One of the key enabler to the productivity and efficiency shift foreseen by SESAR will be the business-trajectory concept. The path to a deep understanding of how this new concept impacts on the future SESAR Air Traffic Management scenario goes through a better understanding of the actual air traffic network, and this will be done in the present paper by analyzing traffic data within the framework of complex network analysis. In this paper we will consider flights trajectory data from the Data Demand Repository database. In a first investigation, we perform a network study of the air traffic infrastructure starting from the airports and then refining our analysis at the level of navigation …
ELSA Project: Toward a complex network approach to ATM delays analysis
2011
The paper presents the preliminary results delivered by the WPE project ELSA. After some introductory notes about the project aims and structure, the paper shows how tools borrowed by the Complex Network Theory can be used to study the issue of delays in the air traffic system.
Analysis of the Structure and Dynamics of European Flight Networks
2022
We analyze structure and dynamics of flight networks of 50 airlines active in the European airspace in 2017. Our analysis shows that the concentration of the degree of nodes of different flight networks of airlines is markedly heterogeneous among airlines reflecting heterogeneity of the airline business models. We obtain an unsupervised classification of airlines by performing a hierarchical clustering that uses a correlation coefficient computed between the average occurrence profiles of 4-motifs of airline networks as similarity measure. The hierarchical tree is highly informative with respect to properties of the different airlines (for example, the number of main hubs, airline participa…