Salvatore Cuomo

TL;DR: A comprehensive review of the literature on physics-informed neural networks can be found in this article , where the primary goal of the study was to characterize these networks and their related advantages and disadvantages, as well as incorporate publications on a broader range of collocation-based physics informed neural networks.

TL;DR: A comprehensive and in-depth study of Deep Learning methodologies and applications in medicine and how, where and why Deep Learning models are applied in medicine is presented.

TL;DR: A comprehensive mathematical model of a Collaborative Reputation Systems (CRS) is designed to establish the people reputation within Cultural spaces and confirmed the reliability and the usefulness of CRSes for deeply understand dynamics related to people visiting styles.

TL;DR: A revised scheme for ECG signal denoising based on a recursive filtering methodology is described and a suitable class of kernel functions are suggested in order to remove artifacts in theECG signal, starting from noise frequencies in the Fourier domain.

TL;DR: A study of unsupervised learning techniques applied on IoT data to support decision-making processes inside intelligent environments and discusses two case studies in which behavioral IoT data has been collected, also in a noninvasive way, in order to achieve an unsuper supervised classification that can be adopted during a decision- making process.