Salta al contenuto principale
Ricerc@Sapienza
Toggle navigation
Home
Login
Home
Persone
massimo.panella@uniroma1.it
Massimo Panella
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
massimo.panella@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Challenges and perspectives of smart grid systems in islands. A real case study
ENERGIES
2023
Perceptron Theory Can Predict the Accuracy of Neural Networks
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2023
Analysis of logic schemes for the optical implementation of pointwise operations in gated recurrent unit cells
Sensors and Microsystems
2023
Systematic review of energy theft practices and autonomous detection through artificial intelligence methods
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
2023
Modular quantum circuits for secure communication
IET QUANTUM COMMUNICATION
2023
Neural Graphs: An Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks
International Conference on Transparent Optical Networks
2023
Multi-damage detection in composite space structures via deep learning
SENSORS
2023
An adaptive embedding procedure for time series forecasting with deep neural networks
NEURAL NETWORKS
2023
Resource saving via ensemble techniques for quantum neural networks
QUANTUM MACHINE INTELLIGENCE
2023
Fast convolutional analysis of task-based fMRI data for ADHD detection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023
A deep neural network for G-quadruplexes binding proteins classification
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023
Explainable spatio-temporal Graph Neural Networks for multi-site photovoltaic energy production
APPLIED ENERGY
2023
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
2023
A General Approach to Dropout in Quantum Neural Networks
ADVANCED QUANTUM TECHNOLOGIES
2023
A General Approach for Dropout in Quantum Neural Networks
Proceedings of Quantum Techniques in Machine Learning (QTML 2023)
2023
Towards Quantum Diffusion Models
Proceedings of Quantum Techniques in Machine Learning (QTML 2023)
2023
Towards Strategies to Avoid Barren Plateaus
Proceedings of Quantum Techniques in Machine Learning (QTML 2023)
2023
Esercizi di Elettrotecnica, Terza edizione
2022
Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures
COMPUTER NETWORKS
2022
Multivariate time series analysis for electrical power theft detection in the distribution grid
2022 IEEE International conference on environment and electrical engineering and 2022 IEEE Industrial and commercial power systems Europe, EEEIC / I and CPS Europe 2022
2022
« prima
< precedente
1
2
3
4
5
6
7
8
seguente ›
ultima »
Progetti di Ricerca
Machine Learning and Sensor Integration for Innovative e-Health Practices in Parkinson's Disease
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma