• E. Balestrieri, P. Daponte, L. De Vito, F. Picariello, S. Rapuano, I. Tudosa, Improved Compressed Sensing–based Method for Anomaly Detection in Cables using Spread Spectrum Signals, 2024 IEEE Int. Conf. on Instrum. And Meas. Tech.
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• E. Balestrieri, P. Daponte, L. De Vito, F. Picariello, S. Rapuano, I. Tudosa, Two-wire Cable Anomaly Diagnosis with Machine Learning based on Passive Measurements, 2024 IEEE Int. Conf. on Instrum. And Meas. Tech.
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• Juraj Machaj, Peter Brida, Bohumil Adamec, Effect of Wi-Fi Access Ponits Spoofing on Fingeprprinting Localization, Radioelektronika 2024
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• Juraj Machaj, Clement Safon, Slavomir Matuska, Peter Brida, Detection of Access Point Spoofing in the Wi-Fi Fingerprinting Based Positioning, Sensors
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• V. Sprincean, A. Leu, R. Buimestru, M. Savva, V. Andruh, M. Caraman, M. Jalencu, A.A. Barsuk, F. Paladi, ICT solutions for physical ressilience assessment and modelling, Proc. of 19th International Conference of Constructive Design and Technological Optimization in Machine Building (OPROTEH 2024)

 

• E. Balestrieri, P. Daponte, L. De Vito, F. Picariello, S. Rapuano, I. Tudosa, A Passive-Measurement Method for Physical Security and Cable Diagnosis, IEEE Transactions on Instrumentation and Measurement
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• Feofilovs, M., Pagano, A. J., Vannucci, E., Spiotta, M., & Romagnoli, F. Climate change-related disaster risk mitigation through innovative insurance mechanism: A system dynamics model application for a case study in Latvia. Risks, 12(3), 43.
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• L. De Vito Sensors and measurements for UAV safety Proceedings of the Scientific and Practical Conference “𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 𝐔𝐕𝐒 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐨𝐟 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥 𝐅𝐚𝐜𝐭𝐨𝐫𝐬” (𝐓𝐞𝐡𝐅𝐢𝐳𝐔𝐕𝐒)

 

• Feofilovs, M., Lakste, R., Romagnoli, F. Development of a District Heating Resilience Index: A Multi-criteria Assessment Approach Based on Latvian Case Studies Lecture Notes in Computer ScienceOpen source preview, 2026, 15893 LNCS, pp. 154–165
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• Ram Prasad Kusi, Nishchal Acharya, Eulalia Balestrieri, Pasquale Daponte, Luca De Vito An Improved Compressive Sampling-based Method for Channel Estimation Proc. of 2025 International Workshop on Technologies for Defense and Security

 

• Ottaviano, E., Di Bona, R., Rea, P., Gonzalez-Rodriguez, A.G. On the Resilience Concept Applied to Inspection Robotics and Proposed Solutions In: Antosz, K., Trojanowska, J., Machado, J., Stadnicka, D. (eds) Advances in Lean Manufacturing, Volume 1. ELEC 2025. Lecture Notes in Mechanical Engineering. Springer, Cham.
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