Design and Calibration of an Objective Flickermeter. - Daniele Gallo; Carmine Landi; Nicola Pasquino (IEEE Trans. Instrum. Meas., 2006)

Mass-Customized Production in a SME Network. - Dario Antonelli; Nicola Pasquino; Agostino Villa (APMS, 2007)

A New Methodological Approach to Quality Assurance of Energy Meters Under Nonsinusoidal Conditions. - Daniele Gallo; Carmine Landi; Nicola Pasquino; Nello Polese (IEEE Trans. Instrum. Meas., 2007)

Experimental Evaluation of Conducted Emissions by Variable-Speed Drives Under Variable Operating Conditions. - Daniele Gallo; Carmine Landi; Nicola Pasquino (IEEE Trans. Instrum. Meas., 2008)

A Remotely Controlled Onboard Measurement System for Optimization of Energy Consumption of Electrical Trains. - Carmine Landi; Mario Luiso; Nicola Pasquino (IEEE Trans. Instrum. Meas., 2008)

A Fuzzy Approach to Decision Making About Compliance of Environmental Electromagnetic Field With Exposure Limits. - Claudio De Capua; Rosario Morello; Nicola Pasquino (IEEE Trans. Instrum. Meas., 2009)

Multisensor Network for Urban Electromagnetic Field Monitoring. - Daniele Gallo; Carmine Landi; Nicola Pasquino (IEEE Trans. Instrum. Meas., 2009)

ANOVA-Based Approach for DAC Diagnostics. - Mauro D'Arco; Annalisa Liccardo; Nicola Pasquino (IEEE Trans. Instrum. Meas., 2012)

Characterization of the radio propagation channel aboard trains for optimal coverage at 2.45GHz. - Andrea Mariscotti; Attilio Marrese; Nicola Pasquino; Rosario Schiano Lo Moriello (M&N, 2013)

Smartphone-based measurements of LTE network performance. - Stefano Avallone; Nicola Pasquino; Stefania Zinno; Domenico Casillo (I2MTC, 2017)

Experimental characterization of lte adaptive modulation and coding scheme under actual operating conditions. - Stefano Avallone; Nicola Pasquino; Stefania Zinno; Domenico Casillo (M&N, 2017)

Measuring the effectiveness of containerization to prevent power draining attacks. - Luigi Catuogno; Clemente Galdi; Nicola Pasquino (M&N, 2017)

Experimental Characterization of Long Term Evolution Multiple Input Multiple Output Performance in Urban Propagation Scenarios. - Stefano Avallone; Nicola Pasquino; Giorgio Ventre; Stefania Zinno (MetroInd4.0&IoT, 2018)

An Effective Methodology for Measuring Software Resource Usage. - Luigi Catuogno; Clemente Galdi; Nicola Pasquino (IEEE Trans. Instrum. Meas., 2018)

Multivariate LTE Performance Assessment through an Expectation-Maximization Algorithm Approach. - Nicola Pasquino; Giorgio Ventre; Stefania Zinno; Federica Ignarro; Sofia Petrocelli (M&N, 2019)

Multivariate Analysis of LTE Radio-Layer Parameters based on a Partitional Clustering Approach. - Nicola Pasquino; Giorgio Ventre; Stefania Zinno; Sofia Petrocelli (MetroInd4.0&IoT, 2019)

A comparative approach of unsupervised machine learning techniques for LTE network parameter clustering. - Nicola Pasquino; Stefania Zinno; Federica Cotugno; Sofia Petrocelli (I2MTC, 2020)

A Methodology to Characterize Power Control Systems for Limiting Exposure to Electromagnetic Fields Generated by Massive MIMO Antennas. - Sara Adda; Tommaso Aureli; Stefano Coltellacci; Stefano D'Elia; Daniele Franci; Enrico Grillo; Nicola Pasquino; Settimio Pavoncello; Riccardo Suman; Mattia Vaccarono (IEEE Access, 2020)

Time-Series-Based Model and Validation for Prediction of Exposure to Wideband Radio Frequency Electromagnetic Radiation. - Pietro De Lellis; Francesco Lo Iudice; Nicola Pasquino (IEEE Trans. Instrum. Meas., 2020)

Some Notes on the Impact of the use of Dynamic Spectrum Sharing (DSS) on Maximum-Power Extrapolation techniques for Human Exposure Assessment to Electromagnetic Fields. - Sara Adda; Tommaso Aureli; Tiziana Cassano; Daniele Franci; Marco Donald Migliore; Nicola Pasquino; Settimio Pavoncello; Fulvio Schettino; Maddalena Schirone (M&N, 2022)

Methodology Based on Vector and Scalar Measurement of Traffic Channel Power Levels to Assess Maximum Exposure to Electromagnetic Radiation Generated by 5G NR Systems. - Sara Adda; Tommaso Aureli; Sergio Bastonero; Stefano D'Elia; Daniele Franci; Enrico Grillo; Marco Donald Migliore; Nicola Pasquino; Settimio Pavoncello; Fulvio Schettino; Andrea Schiavoni; Renato Scotti; et al. (IEEE Access, 2022)

Estimation of Vehicle Longitudinal Velocity with Artificial Neural Network. - Guido Napolitano Dell'Annunziata; Vincenzo Maria Arricale; Flavio Farroni; Andrea Genovese; Nicola Pasquino; Giuseppe Tranquillo (Sensors, 2022)

Prediction of RTT Through Radio-Layer Parameters in 4G/5G Dual-Connectivity Mobile Networks. - Stefania Zinno; Antonia Affinito; Nicola Pasquino; Giorgio Ventre; Alessio Botta (ISCC, 2023)

How 5G NR Signals Impact on the Response of Broadband Electric Field Probes. - Sara Adda; Laura Anglesio; Federica Bogo; Nicola Pasquino; Stefano Trinchero (IEEE Trans. Instrum. Meas., 2023)

Enhanced Methodology to Characterize 3-D Power Monitoring and Control Features for 5G NR Systems Embedding Multi-User MIMO Antennas. - Sara Adda; Tommaso Aureli; Stefano D'Elia; Daniele Franci; Nicola Pasquino; Settimio Pavoncello; Riccardo Suman (IEEE Trans. Instrum. Meas., 2023)

High Noon for Mobile Networks: Short-Time EMF Measurements to Capture Daily Exposure. - Sara Adda; Luca Chiaraviglio; Daniele Franci; Chiara Lodovisi; Nicola Pasquino; Settimio Pavoncello; Chiara Pedroli; Renata Pelosini (IEEE Trans. Instrum. Meas., 2023)

QoE for Interactive Services in 5G Networks: Data-driven Analysis and ML-based Prediction. - Stefania Zinno; Giuseppe Caso; Nicola Pasquino; Alessio Botta; Anna Brunström; Giorgio Ventre (CNSM, 2024)

Preliminary Results of Maximum RF Power Measurement for 4G/5G Dynamic Spectrum Sharing Systems. - Sara Adda; Tommaso Aureli; Stefano D'Elia; Daniele Franci; Nicola Pasquino; Settimio Pavoncello; Maila Strappini; Riccardo Suman (M&N, 2024)

Scalar Measurements of 5G mm-Wave EMF Power in NLoS Propagation. - Sara Adda; Valeria Bottura; Stefano D'Elia; Nicola Pasquino; Riccardo Suman; Mattia Vaccarono (M&N, 2024)

Verification Measurements of EMF Near Kindergarten as an Increased Sensitivity Area. - Miodrag Milutinov; Jelena Bjelica; Dragan Kljajic; Nikola Djuric; Snezana M. Djuric; Nicola Pasquino (M&N, 2024)

Model-Based Clustering of RF-EMF Monitoring Data to Analyze Time Variability. - Nicola Pasquino; Nunzia Solmonte; Nikola Djuric; Dragan Kljajic; Snezana M. Djuric (M&N, 2024)

Prediction of Round-Trip Time in 5G NSA Networks in Urban Environment. - Stefania Zinno; Alessio Botta; Giorgio Ventre; Nicola Pasquino (M&N, 2024)

Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools. - Nikola Djuric; Dragan Kljajic; Nicola Pasquino; Vidak Otasevic; Snezana M. Djuric (IEEE Access, 2024)

Facing Challenges in Zero-Span Measurements of 5G mm-Wave EMF Power in LoS and NLoS Propagation. - Sara Adda; Valeria Bottura; Stefano D'Elia; Nicola Pasquino; Riccardo Suman; Mattia Vaccarono (IEEE Trans. Instrum. Meas., 2024)

A Framework for RF-EMF Time Series Analysis Through Multi-Scale Time Averaging. - Nikola Djuric; Dragan Kljajic; Nicola Pasquino; Vidak Otasevic; Snezana M. Djuric (IEEE Access, 2025)

Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach. - Nicola Pasquino; Nunzia Solmonte; Nikola Djuric; Dragan Kljajic; Snezana M. Djuric (IEEE Access, 2025)

Design of a Machine Learning Approach to Anomaly Detection in Tyre-Road Interaction. - Aleksandr Sakhnevych; Nicola Pasquino; Giancarlo Sperlì (IEEE Access, 2025)

Estimation of Maximum RF-EMF Exposure by Single-User MIMO mmWave 5G Systems. - Sara Adda; Daniele Franci; Giuseppe Marsico; Nicola Pasquino; Settimio Pavoncello (IEEE Trans. Instrum. Meas., 2025)