activity
20132026
most citedIntra-Body Communications for Nervous System Applications: Current Technologies and Future Directions

34 citations · 157 across the 46 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

physics.bio-ph2025

Modeling Plant Action Potentials under Photoperiod Stress via Hodgkin-Huxley Dynamics

Imen Bekkari, Maurizio Magarini, Hamdan Awan

Plants exhibit dynamic bioelectric properties that facilitate information transfer across tissues. This study investigates action potentials (APs) in Nicotiana tabacum recorded wit…

eess.SP2025

Multi-UE Identification and Localization in LAWN via an Autonomous Non-Serving UAV

Niccolò Paglierani, Francesco Linsalata, Vineeth Teeda +2

This paper presents an autonomous sensing framework for identifying and localizing multiple User Equipments (UEs) in Fifth Generation (5G) cellular networks using a non-serving Unm…

eess.SP2025

High-Fidelity RF Mapping: Assessing Environmental Modeling in 6G Network Digital Twins

Lorenzo Cazzella, Francesco Linsalata, Damiano Badini +3

The design of accurate Digital Twins (DTs) of electromagnetic environments strictly depends on the fidelity of the underlying environmental modeling. Evaluating the differences amo…

eess.SP2025

Low-Complexity CNN-Based Classification of Electroneurographic Signals

Arek Berc Gokdag, Silvia Mura, Antonio Coviello +3

Peripheral nerve interfaces (PNIs) facilitate neural recording and stimulation for treating nerve injuries, but real-time classification of electroneurographic (ENG) signals remain…

cs.IT2025

Semantic Communications via Features Identification

Federico Francesco Luigi Mariani, Michele Zhu, Maurizio Magarini

The development of the new generation of wireless technologies (6G) has led to an increased interest in semantic communication. Thanks also to recent developments in artificial int…

cs.NI2025

Bayesian EM Digital Twins Channel Estimation

Lorenzo Del Moro, Francesco Linsalata, Marouan Mizmizi +3

This letter proposes a Bayesian channel estimation method that leverages on the a priori information provided by the Electromagnetic Digital Twin's (EM-DT) representation of the en…