Gabriele Maria Lozito

According to our database1, Gabriele Maria Lozito authored at least 19 papers between 2014 and 2020.

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

Timeline

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PhD thesis 
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Bibliography

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

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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