Mario Versaci

发表

Support vector machines and eddy-current tests for flaws characterisation in thin metallic plates

M. Cacciola, Salvatore Calcagno, Francesco Carlo Morabito, 2005 .

Neuro-Fuzzy Techniques to Estimate and Predict Atmospheric Pollutant Levels

Mario Versaci, M. Versaci, 2001, WIRN.

COMPUTATIONAL INTELLIGENCE METHODOLOGIES FOR NON DESTRUCTIVE TESTING/EVALUATION APPLICATIONS

M. Cacciola, Francesco Carlo Morabito, Mario Versaci, 2007 .

A comparison between neural networks and k-nearest neighbours for blood cells taxonomy

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2010, Memetic Comput..

Prediction and estimation of atmospheric pollutant levels by soft computing approach

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Fuzzy computations for electrical engineering design

Jean Bigeon, Mario Versaci, Florence Francois, 1997 .

Exploitation of Fuzzy Information for Tokamak Plasma Shape Recognition

Francesco Carlo Morabito, Mario Versaci, 1999 .

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

A Modified Heart Dipole Model for the Generation of Pathological ECG Signals

Mario Versaci, Fabio La Foresta, Giovanni Angiulli, 2020, Comput..

Fuzzy geometrical approach based on unit hyper-cubes for image contrast enhancement

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015, 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Fuzzy computation for classifying defects in metallic plates

M. Cacciola, Salvatore Calcagno, Francesco Carlo Morabito, 2007 .

Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2003, Neural Networks.

Fuzzy Time Series for Forecasting Pollutants Concentration in the Air

Francesco Carlo Morabito, Mario Versaci, 2002, WIRN.

SOFT COMPUTING APPROACH TO PREDICT INTRACRANIAL PRESSURE VALUES

Mario Versaci, 2014 .

Neuro-fuzzy estimation of plasma boundary in ITER configuration

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Ultrasonic Nondestructive Evaluation Systems: Industrial Application Issues

Sergio Callegari, Mario Versaci, Augusto Montisci, 2014 .

A fuzzy-neural approach to real time plasma boundary reconstruction in tokamak reactors

Francesco Carlo Morabito, Mario Versaci, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Path Loss Prediction Using Fuzzy Inference System and Ellipsoidal Rules

Salvatore Calcagno, Mario Versaci, Fabio La Foresta, 2012 .

A Morlet wavelet classification technique for ICA filtered sEMG experimental data

Francesco Carlo Morabito, Mario Versaci, Antonino Greco, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Wavelet and Unsupervised Learning Techniques for Experimental Biomedical Data Processing

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2012, Int. J. Meas. Technol. Instrum. Eng..

Evaluation of Structural Integrity of Metal Plates by Fuzzy Similarities of Eddy Currents Representation

Francesco Carlo Morabito, Mario Versaci, 2018 .

A New Fuzzy Geometrical Approach to Classify Defects in Composite Materials

Salvatore Calcagno, Mario Versaci, Matteo Cacciola, 2012, Int. J. Meas. Technol. Instrum. Eng..

Fuzzy-neural approaches to the prediction of disruptions in ASDEX Upgrade

Francesco Carlo Morabito, Mario Versaci, G. Pautasso, 2001 .

Adaptive Image Contrast Enhancement by Computing Distances into a 4-Dimensional Fuzzy Unit Hypercube

Francesco Carlo Morabito, Mario Versaci, Giovanni Angiulli, 2017, IEEE Access.

Entropy spatial clustering in epileptic EEG

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2009, 2009 International Joint Conference on Neural Networks.

Semi-Automatic Artifact Rejection Procedure based on Kurtosis, Renyi's Entropy and Independent Component Scalp Maps

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2005, IEC.

INDEPENDENT COMPONENT ANALYSIS AND DISCRETE WAVELET TRANSFORM FOR ARTIFACT REMOVAL IN BIOMEDICAL SIGNAL PROCESSING

Salvatore Calcagno, Mario Versaci, Fabio La Foresta, 2014 .

Clustering of entropy topography in epileptic electroencephalography

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2010, Neural Computing and Applications.

A New Approach to Evaluate Defects in Metallic Plates Based on Computing with Words and Fuzzy Entropy

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2012, Int. J. Meas. Technol. Instrum. Eng..

Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism

Francesco Carlo Morabito, Mario Versaci, Maurizio Fiasché, 2007, KES.

Electrostatic Micro-Electro-Mechanical-Systems (MEMS) Devices: A Comparison Among Numerical Techniques for Recovering the Membrane Profile

Mario Versaci, Alessandra Jannelli, Giovanni Angiulli, 2020, IEEE Access.

A fuzzy divergence approach for solving electrostatic identification problems for NDT applications

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2018 .

STLmax joint Mutual Information for quantifying independence in the epileptic brain

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2009, WIRN.

Multi Class Support Vector Machines for Disruption Classification in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2006 .

Quick retrieval of effective electromagnetic metamaterial parameters by using a Multi-fidelity Surrogate Modelling approach

Salvatore Calcagno, Mario Versaci, Paolo Di Barba, 2020 .

Advanced use of soft computing and eddy current test to evaluate mechanical integrity of metallic plates

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2007 .

Neural Networks for the Parameters Characterization of ECG Dynamical Model

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2009, WIRN.

A soft computing approach to reconstruct defects on metallic plates

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2002 .

Real Time Neural Network Disruption Prediction in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, 1999 .

A numerical study on the performances of the flexible BiCGStab to solve the discretized E-field integral equation

Salvatore Calcagno, Mario Versaci, Giovanni Angiulli, 2014 .

A Neuro-Fuzzy Approach to Simulate the User Mode Choice Behaviour in a Travel Decision Framework

Mario Versaci, Maria Nadia Postorino, M. Postorino, 2008 .

Kurtosis, Renyi's Entropy and Independent Component Scalp Maps for the Automatic Artifact Rejection from EEG data

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2008 .

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

Mechanical Aspects in the Cells Detachment

Francesco Carlo Morabito, Mario Versaci, Giuseppe Megali, 2009 .

Metamaterial Unit Cell Characterization by Using a Multi-fidelity Surrogate Modelling Approach

Salvatore Calcagno, Mario Versaci, Giovanni Angiulli, 2019, 2019 19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF).

Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach

Francesco Carlo Morabito, Mario Versaci, Giovanni Angiulli, 2018, Multidisciplinary Approaches to Neural Computing.

Evaluating Soft Computing Techniques for Path Loss Estimation in Urban Environments

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2009, WIRN.

A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Progress in the Prediction of Disruptions in ASDEX-Upgrade via Neural and Fuzzy-Neural Techniques

Francesco Carlo Morabito, Mario Versaci, G. Pautasso, 2001 .

Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2009, ICANN.

Fuzzy Geometrical Techniques for Characterizing Defects in Ultrasonic Non-destructive Evaluation

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015 .

A Neural Network Based Classification of Human Blood Cells in a Multiphysic Framework

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2008, ICONIP.

Standard Soft Computing Techniques for Characterization of Defects in Nondestructive Evaluation

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015 .

Fuzzy approach and Eddy currents NDT/NDE devices in industrial applications

Mario Versaci, 2016 .

Wavelet neural network processing of urban air pollution

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Joint use of eddy current imaging and fuzzy similarities to assess the integrity of steel plates

Francesco Carlo Morabito, Mario Versaci, Giovanni Angiulli, 2020, Open Physics.

Fuzzy entropy calculation for SAR image classification

Mario Versaci, Vincenzo Barrile, Giovanni Angiulli, 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

Image Contrast Enhancement by Distances Among Points in Fuzzy Hyper-Cubes

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015, CAIP.

Numerical Modelling for Evaluation of Biological Effects Due to High Frequency Radiations in Indoor Environment

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2010 .

Mutual information for measuring independence of STLmax time series in the epileptic brain

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Neural Network Approach for Estimation and Prediction of Time to Disruption in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, Antonino Greco, 2003, WIRN.

Neural networks and Cao's method: A novel approach for air pollutants time series forecasting

Francesco Carlo Morabito, Mario Versaci, S. Marra, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

SUPPORT VECTOR MACHINE FOR MODELLING DESIGN PARAMETERS IN CIRCULAR AND TRIANGULAR MICROSTRIP PATCH ANTENNAS

M. Cacciola, Salvatore Calcagno, Francesco Carlo Morabito, 2010 .

Clustering of entropy topography in epileptic electroencephalography

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2009, Neural Computing and Applications.

Solution of the direct and inverse problems in NDE: the MADEND project

Salvatore Calcagno, Mario Versaci, Antonello Tamburrino, 2005 .

Plasma evolution control with neuro-fuzzy techniques

Francesco Carlo Morabito, Mario Versaci, 1999, 1999 European Control Conference (ECC).

An Exhaustive Employment of Neural Networks to Search the Better Configuration of Magnetic Signals in ITER Machine

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2006, ICONIP.

Innovative Fuzzy Techniques for Characterizing Defects in Ultrasonic Nondestructive Evaluation

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015 .

Membrane Micro Electro-Mechanical Systems for Industrial Applications

Francesco Carlo Morabito, Mario Versaci, 2020 .

Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2017, Int. J. Neural Syst..

Heuristic Enhancement of Magneto-Optical Images for NDE

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2010, EURASIP J. Adv. Signal Process..

Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2004, ESANN.

Accurate modelling of lossy SIW resonators using a neural network residual kriging approach

Francesco Carlo Morabito, Mario Versaci, Giovanni Angiulli, 2017, IEICE Electron. Express.

Implementation of EC-NDT for in Depth Detection of Defects in Metallic Plates

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2007 .

A Geometric Fuzzy-Based Approach for Airport Clustering

Mario Versaci, Maria Nadia Postorino, M. Postorino, 2014, Adv. Fuzzy Syst..

A minimal fuzzy entropy model for pattern recognition: evaluation in a SAR imagery application

Mario Versaci, Vincenzo Barrile, M. Cacciola, 2006 .

Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2007, IEC.

2D Eddy Currents Imaging & Fuzzy Similarities for Assessing the Integrity of Steel Plates

Francesco Carlo Morabito, Mario Versaci, Paolo Di Barba, 2019, 2019 19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF).

Defects Reconstruction on Reinforced Concrete Specimens

Francesco Carlo Morabito, Mario Versaci, Michele Buonsanti, 2003, Modelling, Identification and Control.

An Algebraic Soft Computing Approach to Solve Prediction Problems in Artificial Neural Networks Domain (ANNs)

Mario Versaci, Giovanni Angiulli, 2016 .

A Fuzzy Approach Using Euclidean Geometrical Formulation for Classifying SAR Images

Mario Versaci, Matteo Cacciola, Biagio Cammaroto, 2013, Int. J. Meas. Technol. Instrum. Eng..

In situ concrete strength assessment: Part II – valuation of equivalent aggregate hardness by neuro-fuzzy techniques

Mario Versaci, Raffaele Pucinotti, 2009 .

The AMDE project: 3D volumetric anomalies reconstruction by eddy current testing

Francesco Carlo Morabito, Mario Versaci, Alessandro Formisano, 2008 .

Automatic fuzzy based identification of flawed rivet in Magneto Optic Images

Lalita Udpa, Francesco Carlo Morabito, Mario Versaci, 2008 .

Singular value decomposition processing of magneto-optic images for flawed rivet identification in ageing aircrafts

Lalita Udpa, Francesco Carlo Morabito, Mario Versaci, 2009 .

On the Use of Neuro-fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data

Francesco Carlo Morabito, Mario Versaci, Domenico Costantino, 2003, WILF.

A fuzzy neural approach to plasma disruption prediction in tokamak reactors

Francesco Carlo Morabito, Mario Versaci, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

The Use of Fuzzy Curves for the Reconstruction of the Plasma Shape and the Selection of the Magnetic Sensors

Francesco Carlo Morabito, Mario Versaci, 1997 .

Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2004, WIRN.

Ultrasonic Pulse-Echoes and Eddy Current Testing for Detection, Recognition and Characterisation of Flaws Detected in Metallic Plates

Salvatore Calcagno, Mario Versaci, Michele Buonsanti, 2006 .

A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2007, KES.

Neuro-Fuzzy Approach for Reconstructing Fissures in Concrete's Reinforcing Bars

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2009, WILF.

Wavelet Coherence and Fuzzy Subtractive Clustering for Defect Classification in Aeronautic CFRP

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2010, 2010 International Conference on Complex, Intelligent and Software Intensive Systems.

Embedding a Neuro-Fuzzy Mode Choice Tool in Intelligent Agents

Giuseppe M. L. Sarnè, Mario Versaci, Maria Nadia Postorino, 2021, WOA.

Retrieving the Effective Parameters of an Electromagnetic Metamaterial Using the Nicolson-Ross-Weir Method: An Analytic Continuation Problem Along the Path Determined by Scattering Parameters

Mario Versaci, Giovanni Angiulli, M. Versaci, 2021, IEEE Access.

Curvature-dependent electrostatic field as a principle for modelling membrane MEMS device with fringing field

Mario Versaci, Paolo Di Barba, Luisa Fattorusso, 2021, Computational and Applied Mathematics.

Electrostatic Circular Membrane MEMS: An Approach to the Optimal Control

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2021, Comput..

MEMS with fringing field: curvature-dependent electrostatic field and numerical techniques for recovering the membrane profile

Francesco Carlo Morabito, Mario Versaci, Paolo Di Barba, 2021, Computational and Applied Mathematics.

Image Edge Detection: A New Approach Based on Fuzzy Entropy and Fuzzy Divergence

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2021, International Journal of Fuzzy Systems.