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 Soap technical and environmental changes as two separa

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Systematic Approach to a Case of Disc Pallor

Disc pallor is often the sequel of various optic nerve disorders and signifies partial or total optic atrophy.It may be present with symptoms or signs ranging from subtle visual dysfunction to total blindness or Cat Food may even be an incidental finding during routine ophthalmological checkup.Discovering the cause of such a case can baffle neurolo

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Freeze-in as a complementary process to freeze-out

Abstract There are many extensions of the Standard Model with a dark matter (DM) candidate obtained via the freeze-out mechanism.It can happen that after all experimental and Snap Clip theoretical constraints are taken into account, all parameter points have a relic density below the experimentally measured value.This means that the models solve on

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Immune Dysfunction and Multiple Treatment Modalities for the SARS-CoV-2 Pandemic: Races of Uncontrolled Running Sweat?

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a ULTIMATE REPAIR global pandemic threat with more than 11.8 million confirmed cases and more than 0.5 million deaths as of 3 July 2020.Given the lack of definitive pharmaceutical interventions against SARS-CoV-2, multiple therapeutic strategies and personal protective applications

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