Gabriele Maria Lozito

Orcid: 0000-0001-7987-0487

According to our database1, Gabriele Maria Lozito authored at least 36 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Evaluation of Additive Manufacturing for Wireless Power Transfer Applications.
IEEE Trans. Ind. Electron., May, 2024

Recent Results in Shielding Technologies for Wireless Electric Vehicle Charging Systems.
IEEE Access, 2024

Equivalent Circuit Modelling of Hybrid Supercapacitors Through Experimental Spectroscopic Measurements.
IEEE Access, 2024

Non-Isolated Zeta PWM DC-DC Power Converter Analysis for CCM Including Parasitics.
IEEE Access, 2024

2023
Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms.
Eng. Appl. Artif. Intell., May, 2023

Accurate Design of Output Filter for DC-DC PWM Buck Converter and Derived Topologies.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2023

Effective Electrical Model of a Beverage Can as a Foreign Object in EV Wireless Charging.
IEEE Access, 2023

Prognostic Analysis of Switching Devices in DC-DC Converters.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Neural Estimator for Inductor Losses in Buck DC-DC Converters Operating in CCM.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

Direct and Inverse Neural Modelling of Buildings HVAC Systems.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

2022
Model-Based Power Management for Smart Farming Wireless Sensor Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications.
Algorithms, 2022

An Indirect Approach to Forecast Produced Power on Photovoltaic Plants Under Uneven Shading Conditions.
AII, 2022

2021
Protection From Indirect Lightning Effects for Power Converters in Avionic Environment: Modeling and Experimental Validation.
IEEE Trans. Ind. Electron., 2021

Irradiance Sensing through PV Devices: A Sensitivity Analysis.
Sensors, 2021

2020
Swarm intelligence based approach for efficient training of regressive neural networks.
Neural Comput. Appl., 2020

2019
Numerical Dynamic Modeling and Analysis of DC-DC Converters for Photovoltaic Applications.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019

Equivalent lumped parameters model for parasitic elements in inductances for power applications.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019

A novel method for dynamic battery model identification based on CFSO.
Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019

Parallel Algorithm Based on Singular Value Decomposition for High Performance Training of Neural Networks.
Proceedings of the Computational Science - ICCS 2019, 2019

Short-Term Irradiance Forecasting on the Basis of Spatially Distributed Measurements.
Proceedings of the Computational Science - ICCS 2019, 2019

2018
Neural Networks for Maximum Power Point Tracking Application to Silicon and CIGS Photovoltaic Modules.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

The Benchmark TEAM Problem for Multi-Objective Optimization Solved with CFSO.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

2017
Two FPGA-Oriented High-Speed Irradiance Virtual Sensors for Photovoltaic Plants.
IEEE Trans. Ind. Informatics, 2017

Solar energy harvest on bicycle helmet for smart wearable sensors.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

An analytical approach for maximum power point calculation for photovoltaic system.
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017

2016
FEM model identification for a vector hysteresis workbench.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Modeling dynamic hysteresis through Fully Connected Cascade neural networks.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

2015
On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review.
Comput. Intell. Neurosci., 2015

FE analysis of magnetic shielding screens based on mortars containing ferromagnetic particles.
Proceedings of the 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2015

Improving the Jiles-Atherton model by introducing a full dynamic dependence of parameters.
Proceedings of the 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2015

A Neural Network Embedded System for Real-time Estimation of Muscle Forces.
Proceedings of the International Conference on Computational Science, 2015

2014
Swarm/flock optimization algorithms as continuous dynamic systems.
Appl. Math. Comput., 2014

Neural Networks for Muscle Forces Prediction in Cycling.
Algorithms, 2014

An Efficient Architecture for Floating Point Based MISO Neural Neworks on FPGA.
Proceedings of the UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014

Model Identification for Photovoltaic Panels Using Neural Networks.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014


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