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Nowadays there is a widespread diffusion of mobile applications for weight and diet management. Even though, the most popular apps are not usually experimented in clinical contexts, as well as apps are not supported by medical evidence. Further research is necessary to assess the effectiveness of apps for weight and diet management. Moreover, there are few examples of food recommender systems that...
Data and connectivity between users form the core of social networks. Every status, post, friendship, tweet, re-tweet, tag or image generates a massive amount of structured and unstructured data. Deriving meaning from this data and, in particular, extracting behavior and emotions of individual users, as well as of user communities, is the goal of sentiment analysis and affective computing and represents...
The estimation of survival distributions of patients is an important current problem in clinical oncology. The current trend is to integrate molecular data (such as genomic data) with clinical data (e.g. cancer type, stage of the disease, etc) and then to link survival distributions to molecular profile of patients. Recently, the Affymetrix DMET (Drug Metabolizing Enzymes and Transporters) microarray...
In this paper we will discuss the application of optimal filtering techniques for the adaptive optics system of the LBT telescope. We have studied the application of both Kalman and H∞ filters to estimate the temporal evolution of the phase perturbations due to the atmospheric turbulence and the telescope vibrations on tip/tilt modes. We will focus on the H∞ filter and on its advantages and disadvantages...
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