Massimo Panella

Pubblicazioni

Titolo Pubblicato in Anno
Multidimensional feeding of LSTM networks for multivariate prediction of energy time series 2020
A combined deep learning approach for time series prediction in energy environments Conference Record - Industrial and Commercial Power Systems Technical Conference 2020
A parallel hardware implementation for 2D hierarchical clustering based on fuzzy logic IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS 2020
An energy-aware hardware implementation of 2D hierarchical clustering 2020
A review of the enabling methodologies for knowledge discovery from smart grids data 2020
Time series prediction using random weights fuzzy neural networks IEEE International Conference on Fuzzy Systems 2020
Prediction of photovoltaic time series by recurrent neural networks and genetic embedding 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings 2020
ADMM consensus for deep LSTM networks Proceedings of the International Joint Conference on Neural Networks 2020
Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series IEEE ACCESS 2020
A review of the enabling methodologies for knowledge discovery from smart grids data ENERGIES 2020
Deep Learning for local damage identification in large space structures via sensor-measured time responses Proceedings of the International Astronautical Congress, IAC 2020
A distributed algorithm for the cooperative prediction of power production in PV plants IEEE TRANSACTIONS ON ENERGY CONVERSION 2019
A classification approach to modeling financial time series Smart Innovation, Systems and Technologies 2019
A smartphone-based application using machine learning for gesture recognition. Using feature extraction and template matching via Hu image moments to recognize gestures IEEE CONSUMER ELECTRONICS MAGAZINE 2019
Distributed data clustering over networks PATTERN RECOGNITION 2019
Power spectra prognostic aspects of impulsive eye movement traces in superior vestibular neuritis MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 2019
A neural network based prediction system of distributed generation for the management of microgrids IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2019
RETI NEURALI QUANTISTICHE RANDOM VECTOR FUNCTIONAL-LINK Memorie ET2019 2019
DEEP LEARNING PER IL CONTROLLO PREDITTIVO NELLA GESTIONE DELLE RISORSE ENERGETICHE DISTRIBUITE Memorie ET2019 2019
A training procedure for quantum random vector functional-link networks ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2019

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma