Nicola Pasquino

Professor

University of Naples Federico II

Italy

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About

Nicola Pasquino is a Professor at the University of Naples Federico II in Italy. His research interests include radiofrequency electromagnetic fields (RF-EMF) analysis, machine learning applications in transportation safety, and the welfare of animals. Recent publications highlight his work in RF-EMF exposure assessment, urban environmental patterns, and advanced methodologies for power monitoring in 5G systems.

Articles (17)

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2025

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2024

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2024

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2024

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2022

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2022

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2020

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2020

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2020

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2020

Collaborators (7)

Fulvio SCHETTINO

Associate Professor

University of Cassino and Southern Lazio

ITALY

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Giancarlo Sperlí

University of Naples Federico II

ITALY

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Alfonso Montella

University of Naples Federico II

ITALY

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Flavio Farroni

University of Naples Federico II

ITALY

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Carmelo D'Agostino

Lund University

SWEDEN

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Andrea Genovese

University of Naples Federico II

ITALY

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Antonella Scarano

University of Naples Federico II

ITALY

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Nicola Pasquino

Research Interests

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About

Articles (17)

Design of a Machine Learning Approach to Anomaly Detection in Tyre-Road Interaction

A Framework for RF-EMF Time Series Analysis Through Multi-Scale Time Averaging

Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach

Estimation of Maximum RF-EMF Exposure by Single-User MIMO mmWave 5G Systems

Buffalo welfare: a literature review from 1992 to 2023 with a text mining and topic analysis approach

Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools

Facing Challenges in Zero-Span Measurements of 5G mm-Wave EMF Power in LoS and NLoS Propagation

Injury severity prediction of cyclist crashes using random forests and random parameters logit models

Enhanced Methodology to Characterize 3-D Power Monitoring and Control Features for 5G NR Systems Embedding Multi-User MIMO Antennas

High Noon for Mobile Networks: Short-Time EMF Measurements to Capture Daily Exposure

Methodology Based on Vector and Scalar Measurement of Traffic Channel Power Levels to Assess Maximum Exposure to Electromagnetic Radiation Generated by 5G NR Systems

Estimation of Vehicle Longitudinal Velocity with Artificial Neural Network

How 5G NR Signals Impact on the Response of Broadband Electric Field Probes

Time-Series-Based Model and Validation for Prediction of Exposure to Wideband Radio Frequency Electromagnetic Radiation

A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas

Assessing Agile Spectrum Management for Cognitive Radar on Measured Data

Use of radiofrequency electromagnetic radiation to remove biofilms from canvasses

Collaborators (7)

Fulvio SCHETTINO

Giancarlo Sperlí

Alfonso Montella

Flavio Farroni

Carmelo D'Agostino

Andrea Genovese

Antonella Scarano

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