Diego Pellicanò

According to our database, Diego Pellicanò authored at least 13 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Analysis and Study of an Integrated System Based on Eddy Current for the Osteogenesis Process.

Diego Pellicanò, Salvatore Calcagno, Domenico De Carlo, Filippo Laganà

Proceedings of the International Workshop on Biomedical Applications, 2023

2022

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

Mario Versaci, Giovanni Angiulli, Paolo Crucitti, Domenico De Carlo, Filippo Laganà, Diego Pellicanò, Annunziata Palumbo

Sensors, 2022

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

Mario Versaci, Giovanni Angiulli, Fabio La Foresta, Paolo Crucitti, Filippo Laganá, Diego Pellicanò, Annunziata Palumbo

AII, 2022

2013

A Hardware for Processing Magnetic Pressure Sensor Signals from Leak Detection in Waterworks.

Aimé Lay-Ekuakille, Giuseppe Griffo, Diego Pellicanò, Pasquale Maris, Matteo Cacciola

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.

Matteo Cacciola, Salvatore Calcagno, Francesco Carlo Morabito, Isabella Palamara, Diego Pellicanò, Mario Versaci, Giuseppe Acciani, Antonietta Dimucci

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012

Elman neural networks for characterizing voids in welded strips: a study.

Matteo Cacciola, Giuseppe Megali, Diego Pellicanò, Francesco Carlo Morabito

Neural Comput. Appl., 2012

About Processing of Exponentially Damped Signals: A Hardware for Biomedical Applications.

Pasquale Maris, Matteo Cacciola, Filippo Laganá, Diego Pellicanò

Int. J. Meas. Technol. Instrum. Eng., 2012

Wavelet and Unsupervised Learning Techniques for Experimental Biomedical Data Processing.

Matteo Cacciola, Salvatore Calcagno, Filippo Laganá, Francesco Carlo Morabito, Diego Pellicanò, Isabella Palamara, Mario Versaci, Biagio Cammaroto

Int. J. Meas. Technol. Instrum. Eng., 2012

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

Matteo Cacciola, Salvatore Calcagno, Filippo Laganà, Francesco Carlo Morabito, Diego Pellicanò, Isabella Palamara, Mario Versaci

Int. J. Meas. Technol. Instrum. Eng., 2012

2010

Heuristic Enhancement of Magneto-Optical Images for NDE.

Matteo Cacciola, Giuseppe Megali, Diego Pellicanò, Salvatore Calcagno, Mario Versaci, Francesco Carlo Morabito

EURASIP J. Adv. Signal Process., 2010

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

Matteo Cacciola, Salvatore Calcagno, Giuseppe Megali, Diego Pellicanò, Mario Versaci, Francesco Carlo Morabito

Proceedings of the CISIS 2010, 2010

2009

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

Matteo Cacciola, Giuseppe Megali, Diego Pellicanò, Michele Buonsanti, Salvatore Calcagno, Mario Versaci, Francesco Carlo Morabito

Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009

Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips.

Matteo Cacciola, Salvatore Calcagno, Filippo Laganá, Giuseppe Megali, Diego Pellicanò, Mario Versaci, Francesco Carlo Morabito

Proceedings of the Artificial Neural Networks, 2009