A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM

A Fast Algorithm for Testability Analysis of Large Linear Time-Invariant Networks

A Method for the Automatic Selection of Test Frequencies in Analog Fault Diagnosis

A Multi-Valued Neuron Based Complex ELM Neural Network

A Neural Network Classifier with Multi-Valued Neurons for Analog Circuit Fault Diagnosis

A Testability Measure for DC-Excited Periodically Switched Networks With Applications to DC-DC Converters

A double integrated neural network for identification of geometrical features dependency in lumped models

A double neural network for interpretation of the frequency response in the electrical equipments

A hybrid Multi-valued neuron based network for the identification of lumped models

A modified learning algorithm for the multilayer neural network with multi-valued neurons based on the complex QR decomposition

scientific article published in 2011

A neural architecture for the parameter extraction of high frequency devices [MMICs]

A new multi-valued neural network for the extraction of lumped models of analog circuits

A new simulation program for analog circuits using symbolic analysis techniques

A new symbolic method for analog circuit testability evaluation

A pruning method for multiple heterogeneous output neural networks

A real time hydrological forecasting system using a fuzzy clustering approach

A symbolic program for parameter identifiability analysis in systems modeled via equivalent linear time‐invariant electrical circuits, with application to electromagnetic harvesters

ANN-based appliance recognition from low-frequency energy monitoring data

An Innovative Single Shot Power Quality Disturbance Detector Algorithm

An unconditionally sound algorithm for testability analysis in linear time-invariant electrical networks

Analog system modeling based on a double modified complex valued neural network

Appliance Recognition in an OSGi-Based Home Energy Management Gateway

Automatic generation of the optimum threshold for parameter weighted pruning in multiple heterogeneous output neural networks

scientific article published on 14 November 2007

Class-E DC-AC resonant inverter design centering

Comparison of DCM operated PWM DC-DC converter modelling methods including the effects of parasitic components on duty ratio constraint

Complex valued neural network modelling of the balun of a biconical antenna

Critical comparison among some analog fault diagnosis procedures based on symbolic techniques

Derivation of network functions for PWM DC-DC Buck converter in DCM including effects of parasitic components on diode duty-cycle

Design of waveguide microwave filters by means of artificial neural networks

Diagnosis in Analog Electronic Circuits, Electrical Power Systems and Smart Grids

Effects of parasitic components on diode duty cycle and small-signal model of PWM DC-DC buck converter in DCM

Failure Prevention and Malfunction Localization in Underground Medium Voltage Cables

Failure Prevention in DC–DC Converters: Theoretical Approach and Experimental Application on a Zeta Converter

Fault detection in Class-E 2 resonant converters

Fault detection of resonant inverters for wireless power transmission using MLMVNN

Forecast: a neural system for diagnosis and control of highway surfaces

Frequency Characterization of Medium Voltage Cables for Fault Prevention through Multi-Valued Neural Networks and Power Line Communication Technologies

IMG retrieval and comparison with TOMS/ADEOS columnar ozone: an analysis based on tropical soundings

Identification of systems for modelling and diagnosis based on a double multi-valued neural network

Improving power quality and efficiency in electrical plants using a three-phase series hybrid passive filter

Lumped model identification based on a double multi-valued neural network and frequency response analysis

MLMVNN for parameter fault detection in PWM DC-DC converters and its applications for buck DC-DC converter

MLMVNNN for Parameter Fault Detection in PWM DC–DC Converters and Its Applications for Buck and Boost DC–DC Converters

MMIC active floating gyrator design and accurate modelling

Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications

Multilayer Neural Network with Multivalued Neurons MLMVN based CLASS E Resonant Inverter Fault Detection

Multilevel DC-AC converters for renewable power generation plants: Comparison, simulation, and experimental tests

On the application of symbolic techniques to the multiple fault location in low testability analog circuits

Optimal Battery Energy Storage System Scheduling within Renewable Energy Communities

Power Quality Analysis Based on Machine Learning Methods for Low-Voltage Electrical Distribution Lines

Retrieval of atmospheric parameters with neural network inversion of infrared high-resolution sensor spectra

SAPWIN-a symbolic simulator as a support in electrical engineering education

SapWin 4.0 ' An enhanced tool for analysis and design of analog circuits

SapWin 4.0-a new simulation program for electrical engineering education using symbolic analysis

Symbolic Techniques for the Selection of Test Frequencies in Analog Fault Diagnosis

Symbolic techniques in neural network based fault diagnosis of analog circuits

System identification and modelling based on a double modified multi-valued neural network

System identification using FRA and a modified MLMVN with arbitrary complex-valued inputs

Testability Evaluation in Time-Variant Circuits: A New Graphical Method