A DEEP LEARNING APPROACH FOR NETWORK INTRUSION DETECTION USING A SMALL FEATURES VECTOR


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

This study focused on chart 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 separ

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Differential diagnostics of bullous dermatoses

Bullous dermatoses Tampons are the diseases characterized by vesication and erosion of skin and/or mucos coats, production of autoantibodies against the structural components of epidermis and/or derma.The most frequent diseases of these disorders are pemphigus, bullous pemphigoid, dermatitis herpetiformis, beningn familial chronic pemphigus (Gouger

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Transfusion practices in trauma

Resuscitation of a severely traumatised patient with the administration of crystalloids, or colloids along with blood products is a common transfusion practice in trauma patients.The determination of this review article is to update on current transfusion practices in trauma.A search of PubMed, Google Scholar, 9322K+ and bibliographies of published

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