Mario Versaci

Orcid: 0000-0003-3837-6671

According to our database1, Mario Versaci authored at least 62 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Analytic Continuation, Phase Unwrapping, and Retrieval of the Refractive Index of Metamaterials from S-Parameters.
Sensors, February, 2024

2023
Numerical Approaches for Recovering the Deformable Membrane Profile of Electrostatic Microdevices for Biomedical Applications.
Sensors, February, 2023

2022
A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects.
Sensors, 2022

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.
Neurocomputing, 2022

A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation.
Cogn. Comput., 2022

Detection of Covid-19 Pneumonia from chest X-ray images: joint use of ECovNNet and fuzzy distance.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates.
AII, 2022

2021
A Semi-Linear Elliptic Model for a Circular Membrane MEMS Device Considering the Effect of the Fringing Field.
Sensors, 2021

Image Edge Detection: A New Approach Based on Fuzzy Entropy and Fuzzy Divergence.
Int. J. Fuzzy Syst., 2021

Electrostatic Circular Membrane MEMS: An Approach to the Optimal Control.
Comput., 2021

Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem.
Comput. Appl. Math., 2021

MEMS with fringing field: curvature-dependent electrostatic field and numerical techniques for recovering the membrane profile.
Comput. Appl. Math., 2021

Curvature-dependent electrostatic field as a principle for modelling membrane MEMS device with fringing field.
Comput. Appl. Math., 2021

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.
IEEE Access, 2021

Embedding a Neuro-Fuzzy Mode Choice Tool in Intelligent Agents.
Proceedings of the 22nd Workshop "From Objects to Agents", 2021

An Algorithmic Proposal for the Qualitative Comparison Between the Chen-Yeh EIT Mixture Model and the Susan-Resiga GSMs Experimental Model for MR Fluids.
Proceedings of the Intelligent Distributed Computing XIV, 2021

2020
A Modified Heart Dipole Model for the Generation of Pathological ECG Signals.
Comput., 2020

Electrostatic Micro-Electro-Mechanical-Systems (MEMS) Devices: A Comparison Among Numerical Techniques for Recovering the Membrane Profile.
IEEE Access, 2020

2018
Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

2017
Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia.
Int. J. Neural Syst., 2017

Accurate modelling of lossy SIW resonators using a neural network residual kriging approach.
IEICE Electron. Express, 2017

Adaptive Image Contrast Enhancement by Computing Distances into a 4-Dimensional Fuzzy Unit Hypercube.
IEEE Access, 2017

SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2015
Fuzzy geometrical approach based on unit hyper-cubes for image contrast enhancement.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

Image Contrast Enhancement by Distances Among Points in Fuzzy Hyper-Cubes.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
A Geometric Fuzzy-Based Approach for Airport Clustering.
Adv. Fuzzy Syst., 2014

2013
A Fuzzy Approach Using Euclidean Geometrical Formulation for Classifying SAR Images.
Int. J. Meas. Technol. Instrum. Eng., 2013

Fuzzy similarities for the optimization of the operational parameters related to ultrasonic phased array probes for industrial application.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012
Wavelet and Unsupervised Learning Techniques for Experimental Biomedical Data Processing.
Int. J. Meas. Technol. Instrum. Eng., 2012

A New Approach to Evaluate Defects in Metallic Plates Based on Computing with Words and Fuzzy Entropy.
Int. J. Meas. Technol. Instrum. Eng., 2012

A New Fuzzy Geometrical Approach to Classify Defects in Composite Materials.
Int. J. Meas. Technol. Instrum. Eng., 2012

2011
Clustering of entropy topography in epileptic electroencephalography.
Neural Comput. Appl., 2011

2010
A comparison between neural networks and k-nearest neighbours for blood cells taxonomy.
Memetic Comput., 2010

Heuristic Enhancement of Magneto-Optical Images for NDE.
EURASIP J. Adv. Signal Process., 2010

Wavelet Coherence and Fuzzy Subtractive Clustering for Defect Classification in Aeronautic CFRP.
Proceedings of the CISIS 2010, 2010

2009
Heuristic advances in identifying aftershocks in seismic sequences.
Comput. Geosci., 2009

Evaluating Soft Computing Techniques for Path Loss Estimation in Urban Environments.
Proceedings of the Neural Nets WIRN09, 2009

Neuro-Fuzzy Approach for Reconstructing Fissures in Concrete's Reinforcing Bars.
Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009

Entropy spatial clustering in epileptic EEG.
Proceedings of the International Joint Conference on Neural Networks, 2009

Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips.
Proceedings of the Artificial Neural Networks, 2009

2008
STLmax joint Mutual Information for quantifying independence in the epileptic brain.
Proceedings of the New Directions in Neural Networks, 2008

Neural Networks for the Parameters Characterization of ECG Dynamical Model.
Proceedings of the New Directions in Neural Networks, 2008

Mutual information for measuring independence of STLmax time series in the epileptic brain.
Proceedings of the International Joint Conference on Neural Networks, 2008

A Neural Network Based Classification of Human Blood Cells in a Multiphysic Framework.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors.
Proceedings of the International Joint Conference on Neural Networks, 2006

An Exhaustive Employment of Neural Networks to Search the Better Configuration of Magnetic Signals in ITER Machine.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors.
Proceedings of the International Enformatika Conference, 2005

Semi-Automatic Artifact Rejection Procedure based on Kurtosis, Renyi's Entropy and Independent Component Scalp Maps.
Proceedings of the International Enformatika Conference, 2005

2004
Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data.
Neural Networks, 2003

Neural Network Approach for Estimation and Prediction of Time to Disruption in Tokamak Reactors.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

On the Use of Neuro-fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

Defects Reconstruction on Reinforced Concrete Specimens.
Proceedings of the 22nd IASTED International Conference on Modelling, 2003

Fuzzy entropy calculation for SAR image classification.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2002
Fuzzy Time Series for Forecasting Pollutants Concentration in the Air.
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002

2001
Neuro-Fuzzy Techniques to Estimate and Predict Atmospheric Pollutant Levels.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

1999
A fuzzy neural approach to plasma disruption prediction in tokamak reactors.
Proceedings of the International Joint Conference Neural Networks, 1999

Plasma evolution control with neuro-fuzzy techniques.
Proceedings of the 5th European Control Conference, 1999

1997
A fuzzy-neural approach to real time plasma boundary reconstruction in tokamak reactors.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997


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