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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Species delimitation in asexual insects of economic importance: The case of black scale (Parasaissetia nigra), a cosmopolitan parthenogenetic pest scale insect.

Asexual lineages provide a challenge to species delimitation because species concepts either have little biological meaning for them or are arbitrary, since every individual is monophyletic and reproductively isolated from all other pink aero chocolate individuals.However, recognition and naming of asexual species is important to conservation and e

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Evolving Justice: The Constitutional Relationship between the Minister of Justice and the Judiciary and a Short Overview of Recent Developments in the Area of Court Management in the Republic of Slovenia

Slovenia in 1995 embarked on a road of reforming its judiciary using a model that harked back to history but proved outlived.We learned the hard way that in terms of court management diffusion of responsibility breeds complacency, defeatism and indifference especially if dod analog delay it is combined with courts of inadequate size and capacity fo

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