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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Reform and modernization in the Ottoman Empire

The boundaries of the Ottoman Empire span several centuries on a vast expanse, across the ancient continents of the world, with different races, diverse peoples and multiple faiths, and the Ottoman Empire was one of the forces that influenced the course of international politics at the time, and then it was weakened by the political balance and adm

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APT imaging of hepatocellular carcinoma signals an effective therapeutic response in advance of tumor shrinkage

Aim: The aim of this study was to assess the utility of weighted amide proton transfer (APTw) MRI in three different rodent models of hepatocellular carcinoma (HCC).Methods: APTw MRI was evaluated in models of diethylnitrosamine (DEN) induced HCC, N1S1 syngeneic orthotopic xenograft and human HepG2 Tig Welders (GTAW) ectopic xenograft.Results: All

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Dose-response analysis in the joint action of two effectors. A new approach to simulation, identification and modelling of some basic interactions.

In systems with several effectors, the results of dose-response (DR) experiments are usually assessed by checking them against two hypotheses: independent action (IA) and concentration addition (CA).Both are useful simplifications, but do not represent the only possible responses, and avoid to a large extent the analysis of the interactions that ar

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