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Mario Versaci
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2020 – today
- 2024
- [j28]Mario Versaci, Giovanni Angiulli, Fabio La Foresta, Filippo Laganà, Annunziata Palumbo:
Intuitionistic fuzzy divergence for evaluating the mechanical stress state of steel plates subject to bi-axial loads. Integr. Comput. Aided Eng. 31(4): 363-379 (2024) - [j27]Giovanni Angiulli
, Mario Versaci
Analytic Continuation, Phase Unwrapping, and Retrieval of the Refractive Index of Metamaterials from S-Parameters. Sensors 24(3): 912 (2024) - 2023
- [j26]Mario Versaci
Numerical Approaches for Recovering the Deformable Membrane Profile of Electrostatic Microdevices for Biomedical Applications. Sensors 23(3): 1688 (2023) - 2022
- [j25]Cosimo Ieracitano
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation. Cogn. Comput. 14(6): 2203-2211 (2022) - [j24]Cosimo Ieracitano, Nadia Mammone, Mario Versaci, Giuseppe Varone, Abder-Rahman Ali, Antonio Armentano, Grazia Calabrese, Anna Ferrarelli, Lorena Turano, Carmela Tebala, Zain U. Hussain
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing 481: 202-215 (2022) - [j23]Mario Versaci
A Fuzzy Similarity-Based Approach to Classify Numerically Simulated and Experimentally Detected Carbon Fiber-Reinforced Polymer Plate Defects. Sensors 22(11): 4232 (2022) - [c35]Mario Versaci
Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates. AII 2022: 14-28 - [c34]Mario Versaci, Cosimo Ieracitano, Nadia Mammone, Giuseppe Sceni, Francesco Carlo Morabito:
Detection of Covid-19 Pneumonia from chest X-ray images: joint use of ECovNNet and fuzzy distance. FUZZ-IEEE 2022: 1-8 - [e1]David Camacho
Intelligent Distributed Computing XIV, 14th International Symposium on Intelligent Distributed Computing, IDC 2021, Virtual Event, 16-18 September 2021. Studies in Computational Intelligence 1026, Springer 2022, ISBN 978-3-030-96626-3 [contents] - 2021
- [j22]Giovanni Angiulli
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 9: 77511-77525 (2021) - [j21]Mario Versaci
Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem. Comput. Appl. Math. 40(2) (2021) - [j20]Paolo Di Barba, Luisa Fattorusso
Curvature-dependent electrostatic field as a principle for modelling membrane MEMS device with fringing field. Comput. Appl. Math. 40(3) (2021) - [j19]Mario Versaci
MEMS with fringing field: curvature-dependent electrostatic field and numerical techniques for recovering the membrane profile. Comput. Appl. Math. 40(4) (2021) - [j18]Mario Versaci
Electrostatic Circular Membrane MEMS: An Approach to the Optimal Control. Comput. 9(4): 41 (2021) - [j17]Mario Versaci, Francesco Carlo Morabito:
Image Edge Detection: A New Approach Based on Fuzzy Entropy and Fuzzy Divergence. Int. J. Fuzzy Syst. 23(4): 918-936 (2021) - [j16]Mario Versaci
A Semi-Linear Elliptic Model for a Circular Membrane MEMS Device Considering the Effect of the Fringing Field. Sensors 21(15): 5237 (2021) - [c33]Mario Versaci, Annunziata Palumbo:
An Algorithmic Proposal for the Qualitative Comparison Between the Chen-Yeh EIT Mixture Model and the Susan-Resiga GSMs Experimental Model for MR Fluids. IDC 2021: 309-318 - [c32]Maria Nadia Postorino, Mario Versaci, Giuseppe M. L. Sarné:
Embedding a Neuro-Fuzzy Mode Choice Tool in Intelligent Agents. WOA 2021: 116-131 - 2020
- [j15]Mario Versaci
Electrostatic Micro-Electro-Mechanical-Systems (MEMS) Devices: A Comparison Among Numerical Techniques for Recovering the Membrane Profile. IEEE Access 8: 125874-125886 (2020) - [j14]Mario Versaci
A Modified Heart Dipole Model for the Generation of Pathological ECG Signals. Comput. 8(4): 92 (2020)
2010 – 2019
- 2018
- [p1]Annalisa Sgró, Domenico De Carlo
Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach. Multidisciplinary Approaches to Neural Computing 2018: 47-55 - 2017
- [j13]Mario Versaci, Francesco Carlo Morabito
Adaptive Image Contrast Enhancement by Computing Distances into a 4-Dimensional Fuzzy Unit Hypercube. IEEE Access 5: 26922-26931 (2017) - [j12]Giovanni Angiulli
Accurate modelling of lossy SIW resonators using a neural network residual kriging approach. IEICE Electron. Express 14(6): 20170073 (2017) - [j11]Francesco Carlo Morabito
Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia. Int. J. Neural Syst. 27(2): 1650039:1-1650039:15 (2017) - [c31]Cosimo Ieracitano
SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials. IIH-MSP (1) 2017: 103-113 - 2015
- [c30]Mario Versaci
Image Contrast Enhancement by Distances Among Points in Fuzzy Hyper-Cubes. CAIP (2) 2015: 494-505 - [c29]Mario Versaci
Fuzzy geometrical approach based on unit hyper-cubes for image contrast enhancement. ICSIPA 2015: 488-493 - 2014
- [j10]Maria Nadia Postorino, Mario Versaci
A Geometric Fuzzy-Based Approach for Airport Clustering. Adv. Fuzzy Syst. 2014: 201243:1-201243:12 (2014) - 2013
- [j9]Biagio Cammaroto, Matteo Cacciola, Mario Versaci:
A Fuzzy Approach Using Euclidean Geometrical Formulation for Classifying SAR Images. Int. J. Meas. Technol. Instrum. Eng. 3(4): 27-35 (2013) - [c28]Matteo Cacciola, Salvatore Calcagno
Fuzzy similarities for the optimization of the operational parameters related to ultrasonic phased array probes for industrial application. DSP 2013: 1-6 - 2012
- [j8]Matteo Cacciola, Salvatore Calcagno, Filippo Laganà, Francesco Carlo Morabito, Diego Pellicanò, Isabella Palamara, Mario Versaci:
A New Approach to Evaluate Defects in Metallic Plates Based on Computing with Words and Fuzzy Entropy. Int. J. Meas. Technol. Instrum. Eng. 2(2): 20-28 (2012) - [j7]Matteo Cacciola, Salvatore Calcagno, Filippo Laganá, Francesco Carlo Morabito, Diego Pellicanò, Isabella Palamara, Mario Versaci, Biagio Cammaroto:
Wavelet and Unsupervised Learning Techniques for Experimental Biomedical Data Processing. Int. J. Meas. Technol. Instrum. Eng. 2(3): 45-59 (2012) - [j6]Matteo Cacciola, Salvatore Calcagno, Fabio La Foresta, Mario Versaci:
A New Fuzzy Geometrical Approach to Classify Defects in Composite Materials. Int. J. Meas. Technol. Instrum. Eng. 2(4): 12-20 (2012) - 2011
- [j5]Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci
Clustering of entropy topography in epileptic electroencephalography. Neural Comput. Appl. 20(6): 825-833 (2011) - 2010
- [j4]Matteo Cacciola, Giuseppe Megali, Diego Pellicanò, Salvatore Calcagno
Heuristic Enhancement of Magneto-Optical Images for NDE. EURASIP J. Adv. Signal Process. 2010 (2010) - [j3]Matteo Cacciola, Giuseppe Megali, Maurizio Fiasché
A comparison between neural networks and k-nearest neighbours for blood cells taxonomy. Memetic Comput. 2(3): 237-246 (2010) - [c27]Matteo Cacciola, Salvatore Calcagno
Wavelet Coherence and Fuzzy Subtractive Clustering for Defect Classification in Aeronautic CFRP. CISIS 2010: 101-107
2000 – 2009
- 2009
- [j2]Sebastiano D'Amico
Heuristic advances in identifying aftershocks in seismic sequences. Comput. Geosci. 35(2): 245-254 (2009) - [c26]Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci
Clustering of Entropy Topography in Epileptic Electroencephalography. EANN 2009: 453-462 - [c25]Matteo Cacciola, Salvatore Calcagno
Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips. ICANN (2) 2009: 455-464 - [c24]Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci
Entropy spatial clustering in epileptic EEG. IJCNN 2009: 1981-1986 - [c23]Matteo Cacciola, Giuseppe Megali, Diego Pellicanò, Michele Buonsanti, Salvatore Calcagno
Neuro-Fuzzy Approach for Reconstructing Fissures in Concrete's Reinforcing Bars. WILF 2009: 171-178 - [c22]Filippo Laganá
Evaluating Soft Computing Techniques for Path Loss Estimation in Urban Environments. WIRN 2009: 323-331 - 2008
- [c21]Matteo Cacciola, Maurizio Fiasché
A Neural Network Based Classification of Human Blood Cells in a Multiphysic Framework. ICONIP (2) 2008: 720-727 - [c20]Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito
Mutual information for measuring independence of STLmax time series in the epileptic brain. IJCNN 2008: 955-960 - [c19]Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito
STLmax joint Mutual Information for quantifying independence in the epileptic brain. WIRN 2008: 30-39 - [c18]Matteo Cacciola, Fabio La Foresta, Francesco Carlo Morabito
Neural Networks for the Parameters Characterization of ECG Dynamical Model. WIRN 2008: 40-49 - 2007
- [c17]Matteo Cacciola, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci:
A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem. KES (3) 2007: 243-250 - [c16]Nadia Mammone, Maurizio Fiasché, Giuseppina Inuso, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci:
Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism. KES (3) 2007: 414-421 - 2006
- [c15]Matteo Cacciola, Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
An Exhaustive Employment of Neural Networks to Search the Better Configuration of Magnetic Signals in ITER Machine. ICONIP (2) 2006: 353-360 - [c14]Salvatore Calcagno
A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors. IJCNN 2006: 835-842 - 2005
- [c13]Antonino Greco, Nadia Mammone, Francesco Carlo Morabito, Mario Versaci:
Semi-Automatic Artifact Rejection Procedure based on Kurtosis, Renyi's Entropy and Independent Component Scalp Maps. IEC (Prague) 2005: 22-26 - [c12]Antonino Greco, Nadia Mammone, Francesco Carlo Morabito, Mario Versaci:
Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors. IEC (Prague) 2005: 40-44 - 2004
- [c11]Francesco Carlo Morabito, Mario Versaci:
Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach. ESANN 2004: 103-108 - [c10]Matteo Cacciola, Domenico Costantino, Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors. WIRN 2004: 383-389 - 2003
- [j1]Francesco Carlo Morabito
Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data. Neural Networks 16(3-4): 493-506 (2003) - [c9]Giovanni Angiulli, Vincenzo Barrile, Mario Versaci:
Fuzzy entropy calculation for SAR image classification. IGARSS 2003: 1802-1804 - [c8]Michele Buonsanti, Simona Calcagno, Francesco Carlo Morabito, Mario Versaci:
Defects Reconstruction on Reinforced Concrete Specimens. Modelling, Identification and Control 2003: 448-452 - [c7]Domenico Costantino, Francesco Carlo Morabito, Mario Versaci:
On the Use of Neuro-fuzzy Techniques for Analyzing Experimental Surface Electromyographic Data. WILF 2003: 119-126 - [c6]Antonino Greco, Francesco Carlo Morabito, Mario Versaci:
Neural Network Approach for Estimation and Prediction of Time to Disruption in Tokamak Reactors. WIRN 2003: 202-209 - 2002
- [c5]Francesco Carlo Morabito, Mario Versaci:
Fuzzy Time Series for Forecasting Pollutants Concentration in the Air. WIRN 2002: 152-159 - 2001
- [c4]Mario Versaci:
Neuro-Fuzzy Techniques to Estimate and Predict Atmospheric Pollutant Levels. WIRN 2001: 260-265
1990 – 1999
- 1999
- [c3]Francesco Carlo Morabito, Mario Versaci:
Plasma evolution control with neuro-fuzzy techniques. ECC 1999: 4188-4192 - [c2]Francesco Carlo Morabito, Mario Versaci:
A fuzzy neural approach to plasma disruption prediction in tokamak reactors. IJCNN 1999: 3463-3467 - 1997
- [c1]Francesco Carlo Morabito
A fuzzy-neural approach to real time plasma boundary reconstruction in tokamak reactors. ICNN 1997: 43-47
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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