CLUSTERING INPUT SIGNALS BASED IDENTIFICATION ALGORITHMS FOR TWO-INPUT SINGLE-OUTPUT MODELS WITH AUTOREGRESSIVE MOVING AVERAGE NOISES

Clustering Input Signals Based Identification Algorithms for Two-Input Single-Output Models with Autoregressive Moving Average Noises

This study focused on the identification problems of two-input single-output system with moving average noises based on unsupervised learning methods applied to the input signals.The input signal to the autoregressive moving average model is proposed to be arriving from a source with continuous technical and environmental changes as two separate fe

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SARS-CoV-2 quantitative real time PCR and viral loads analysis among asymptomatic and symptomatic patients: an observational study on an outbreak in two nursing facilities in Campania Region (Southern Italy)

Abstract Background In December 2019 an outbreak of Severe we care vitamin a and d ointment Acute Respiratory Syndrome Coronavirus 2 was first observed in Wuhan, China.The virus has spread rapidly throughout the world creating a pandemic scenario.Several risk factors have been identified, such as age, sex, concomitant diseases as well as viral load

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Case report: Reconstruction of the long-gap unilateral absence of right pulmonary artery with contralateral pulmonary artery flap and autologous pericardial graft

Unilateral absence of pulmonary artery (UAPA) is a rare type of congenital abnormality that redken chromatics 6nn may coexist with other congenital abnormalities or present as an isolated lesion, the latter form can be asymptomatic.Surgical procedure is usually carried out when UAPA was diagnosed with significant symptoms, and the aim of surgery is

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