- Francesca Lodato, Andrea Garzia, Simona Valbonesi, Giuseppe Ruello, Antonio Iodice, Francesco Matera, Pierpaolo Salvo, Rita Massa:
Ray Tracing Tools Assessment for the Evaluation of EMF Levels Generated by 5G NR Systems: An Overview. M&N 2024: 1-6 - Lewis Manning, Martin J. Salter, Martin Wickham, Ana Robador, Osman Sibonjic, Sani Sarcevic, Semir Cohodarevic, Giovanni Betta, Domenico Capriglione, Gianfranco Miele:
S-Parameter Analysis of Age Testing Effects on FR4-Based Printed Circuit Boards up to 10 GHz. M&N 2024: 1-6 - Carlos Marques, Thais De Andrade Silva, Luigi Zeni, Jairo Pinto De Oliveira, Francesco Arcadio, Nunzio Cennamo:
Comparison Between Two Polymer-Based Surface Plasmon Resonance Probes Combined with the Same Bioreceptor for Ochratoxin a Detection. M&N 2024: 1-5 - Vincenzo Romano Marrazzo, Francesco Fienga, Armando Laudati, Andrea Irace, Giovanni Breglio:
An Electrothermal Anti-Ice System Embedded into a Leading Edge Profile Validated Through Fiber Optic Sensors. M&N 2024: 1-5 - Chiara Marzano, Francesco Arcadio, Luigi Zeni, Gianluca Cicala, Lorena Saitta, Ines Tavoletta, Luca Pasquale Renzullo, Claudio Tosto, Nunzio Cennamo:
Towards Point-of-Care Tests via Polymer-Based Plasmonic Biosensors for Femtomolar-Level Detection of Proteins. M&N 2024: 1-5 - Simona Miclaus, Delia Bianca Deaconescu, David Vatamanu, Andreea Maria Buda:
Mobile Phone Emissions in 5G FR1: Using Statistic Inferences and Deep Learning for Empiric Features Extraction. M&N 2024: 1-6 - Miodrag Milutinov, Jelena Bjelica, Dragan Kljajic, Nikola Djuric, Snezana M. Djuric, Nicola Pasquino:
Verification Measurements of EMF Near Kindergarten as an Increased Sensitivity Area. M&N 2024: 1-6 - Alberto Morato, Elena Ferrari, Stefano Vitturi, Federico Tramarin:
A TSN-Based Technique for Latency Measurement in Real-Time Wireless Communication Networks. M&N 2024: 1-6 - Simone Negri, Giordano Spadacini, Flavia Grassi, Sergio Amedeo Pignari:
Accuracy Assessment of Non-Intrusive Measurement of Two-Port Impedance and Admittance Parameters by Inductive Couplers. M&N 2024: 1-6 - Pierre Sedi Nzakuna, Vincenzo Paciello, Aimé Lay-Ekuakille, Angelo Kuti Lusala, Salvatore Dello Iacono:
Empirical Analysis of the IOTA Tangle Ledger in the Stardust Stage. M&N 2024: 1-6 - Nicola Pasquino, Nunzia Solmonte, Nikola Djuric, Dragan Kljajic, Snezana M. Djuric:
Model-Based Clustering of RF-EMF Monitoring Data to Analyze Time Variability. M&N 2024: 1-6 - Prosenjit Paul, Anup Kumar Roy, Nirman Bhowmike, Md Nazmul Islam, Xingya Liu:
Design and Simulation of a Monofilar Helical Antenna for 5G and Beyond Applications. M&N 2024: 1-6 - Teodor Petrita, Delia Bianca Deaconescu, Simona Miclaus:
General Population EMF Exposure Evolution in Anticipation of 5G: A Study at 5 Years Difference. M&N 2024: 1-4 - Roberto Pompa, Nico Fiorini, Gianluca Scacco, Ciro D'Elia:
A Resources Optimization Method in an Elixir IoT Cloud Environment Based on Basic Operations Performance Measurements. M&N 2024: 1-6 - Nicky Andre Prabatama, Mai Lan Nguyen, Pierre Hornych, Stefano Mariani, Jean-Marc Laheurte:
Pavement Monitoring with a Wireless Sensor Network of MEMS Accelerometers. M&N 2024: 1-6 - Luka Radovic, Radovan Lj. Turovic, Nikola Djuric, Tamara Skoric, Dragan Kljajic:
ML-based Detection of Radiation Azimuth Changes of Base Station. M&N 2024: 1-5 - Kevin-Ismet Sabanovic, Christian Arendt, Steffen Fricke, Melina Geis, Stefan Böcker, Christian Wietfeld:
AI-Based Anomaly Detection for Industrial 5G Networks by Distributed SDR Measurements. M&N 2024: 1-5 - Ahmed Sayegh, Nora Meyne, Thomas Kleine-Ostmann:
Measurement of Passive Intermodulation with Uncertainty Budget using a Vectorial-PIM System. M&N 2024: 1-6 - Marco Siino, Ilenia Tinnirello:
GPT Prompt Engineering for Scheduling Appliances Usage for Energy Cost Optimization. M&N 2024: 1-6 - Dilbagh Singh, Martin J. Salter, Nick M. Ridler:
Characterisation of Power Transistors for Wireless Network Applications Using Passive and Active Load-Pull. M&N 2024: 1-5 - Ines Tavoletta, Francesco Arcadio, Luigi Zeni, Maria Pesavento, Giancarla Alberti, Chiara Marzano, Luca Pasquale Renzullo, Federica Passeggio, Nunzio Cennamo:
Measurements of Glyphosate at Nanomolar Level via POF-Based Unconventional Sensors. M&N 2024: 1-5 - Obed Tshimanga Tshipata, Dave Tshimbalanga Kazumba, Pierre Sedi Nzakuna, Vincenzo Paciello, Angelo Kuti Lusala:
Multi-Horizon Short-Term Electrical Load Forecasting: A Comparative Analysis of Statistical Models and Deep Neural Networks. M&N 2024: 1-6 - Simona Valbonesi, Andrea Garzia, Elena Mammi, Nerea Canales Sebastian, Luca Ricciardi, Mirko Ermini, Marcello Folli, Paolo Grazioso, Fabio Senesi:
Evaluation of Coverage and Radio-Frequency Electromagnetic Field Exposure in Complex Scenarios: Critical Issues and Possible Solutions. M&N 2024: 1-6 - Jorge Valverde, Alberto Cruz, Christopher Vaccaro, Jocellyn Luna, Jose Cordova-Garcia:
Identifying Data Issues in Networked Energy Monitoring Platforms. M&N 2024: 1-6 - Carlos Cedeño Z., Jocellyn Luna, Jose Cordova-Garcia:
CLED: Computer Lab Energy Dataset. M&N 2024: 1-6 - Stefania Zinno, Alessio Botta, Giorgio Ventre, Nicola Pasquino:
Prediction of Round-Trip Time in 5G NSA Networks in Urban Environment. M&N 2024: 1-6 - Federica Zonzini, Nicola Testoni, Antonio Palermo, Luca De Marchi, Canio Mennuti, Giuseppe Augugliaro, Alessandro Marzani:
Green Wireless Sensing Network for Structural Health Monitoring: A Vertical Approach. M&N 2024: 1-6 - Ivan D. Zyrianoff, Mattia Forlesi, Lorenzo Gigli, Soroosh Kamali, Nicola Testoni, Canio Mennuti, Giuseppe Augugliaro, Luca De Marchi, Alessandro Marzani, Luciano Bononi, Marco Di Felice:
Digital Smart Structure: Engineering a Sensor-to-Cloud Structural Health Monitoring Pilot. M&N 2024: 1-6 - 2024 IEEE International Symposium on Measurements & Networking (M&N), Rome, Italy, July 2-5, 2024. IEEE 2024, ISBN 979-8-3503-7053-9 [contents]
- 2022
- Sara Adda, Tommaso Aureli, Tiziana Cassano, Daniele Franci, Marco Donald Migliore, Nicola Pasquino, Settimio Pavoncello, Fulvio Schettino, Maddalena Schirone:
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. M&N 2022: 1-6