Francesco A. N. Palmieri

Professore Ordinario

Università degli Studi della Campania Luigi Vanvitelli

Italy

Research Interests

Explore related searches

Professors in Italy Professors in Statistics Statistics professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Francesco A. N. Palmieri is a Professore Ordinario at Università degli Studi della Campania Luigi Vanvitelli, Italy. His research areas include probability propagation, receiver design in communications, and decentralized traffic multiplexing, among others. He has published recent articles focusing on topics like anomaly detection in power electronics, underwater data fusion, and Bayesian networks.

Articles (11)

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (3)

Stefano Buzzi

University of Cassino and Southern Lazio

ITALY

View details

Peter Willett

University of Connecticut

UNITED STATES

View details

Maria Valenti

Head of Smart Grid and Energy Network Laboratory

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Francesco A. N. Palmieri

Research Interests

Explore related searches

Contact this professor

About

Articles (11)

Probability propagation for path planning in unknown environments

Investigating Frequency Modulated OFDM (FM-OFDM): Receiver Design and Analysis Over Time-Varying Channels

Decentralized Grant-Free mMTC Traffic Multiplexing With eMBB Data Through Deep Reinforcement Learning

Threshold Determination for False Track Probability in the Multipath ML-PMHT

Multipath Data Fusion With Recursive ML-PDA and Generative ML-PMHT for VLO Targets in Underwater Environment

Incipient Residual-Based Anomaly Detection in Power Electronic Devices

A Unifying View of Estimation and Control Using Belief Propagation With Application to Path Planning

Bayesian feature fusion using factor graph in reduced normal form

Considerations about learning Word2Vec

Optimized realization of Bayesian networks in reduced normal form using latent variable model

Path planning using probability tensor flows

Collaborators (3)

Stefano Buzzi

Peter Willett

Maria Valenti

Make your next move.