Author

Mario Versaci

Department of DICEAM, “Mediterranea” University, I-89122 Reggio Calabria, Italy

4 articles in our journals

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Research ArticleOpen accessSOFT COMPUTING APPROACH TO PREDICT INTRACRANIAL PRESSURE VALUESMario VersaciThe estimation and the prediction of the values related to the Intracranial Pression (ICP) represents an important step for the evaluation of the compliance of the human brain, above all in those cases in which the increase of the ICP values determines high risk conditions for the patient. The regular therapy is neuro-surgical but, waiting for it, it is needed … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 7 Mar 2014 · 6,674 accessesView PDF Cite

Research ArticleOpen accessKRYLOV’S SUBSPACES ITERATIVE METHODS TO EVALUATE ELECTROSTATIC PARAMETERSMario Versaci, Alessandra Jannelli, Giovanni Angiulli, Francesco Carlo MorabitoMost of the electromagnetic problems can be stated in terms of an inhomogeneous equation Af = g in which A is a differential, integral or integro-differential operator, g in the exitation source and f is the unknown function to be determined. Methods of Moments (MoM) is a procedure to solve the equation above and, by means of an appropriate choice … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 4 Jan 2014 · 7,867 accessesView PDF Cite

Research ArticleOpen accessINDEPENDENT COMPONENT ANALYSIS AND DISCRETE WAVELET TRANSFORM FOR ARTIFACT REMOVAL IN BIOMEDICAL SIGNAL PROCESSINGSalvatore Calcagno, Fabio La Foresta, Mario VersaciRecent works have shown that artifact removal in biomedical signals can be performed by using Discrete Wavelet Transform (DWT) or Independent Component Analysis (ICA). It results often very difficult to remove some artifacts because they could be superimposed on the recordings and they could corrupt the signals in the frequency domain. The two conditions could compromise the performance of both … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 27 Nov 2013 · 7,848 accessesView PDF Cite

Research ArticleOpen accessPath Loss Prediction Using Fuzzy Inference System and Ellipsoidal RulesMario Versaci, Salvatore Calcagno, Fabio La Foresta, Biagio CammarotoIt is well known as the prediction of radio wave path loss in urban environment plays a key role in order to correctly plan wireless systems and mobile communication networks. To obtain more flexible prediction models able to give accurate results, in recent years Soft computing Techniques has been exploited. In this study, a novel approach based on ellipsoidal fuzzy … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 6 Dec 2012 · 6,770 accessesView PDF Cite