Ruolo editoriale nella rivista «Sensors»
Coordinamento del progetto: Sushi Drop - SUstainable fiSHeries wIth DROnes data Processing.
Coordinamento del progetto: Sviluppo e progettazione di sistemi innovativi per il monitoraggio in tempo reale dell’integrità strutturale di parti di veicoli racing/automotive e confronto con tecniche diagnostiche tradizionali.
Donati, G; Zonzini, F; De Marchi, L, Enhanced Global Convolution Networks for Defect Detection in Full Wavefield Imaging, in: Journal of Physics: Conference Series. Vol. 2698. No. 1, 2024, 2698, pp. 1 - 13 (atti di: 15th International AIVELA Conference on Vibration Measurements by Laser and Noncontact Techniques, Ancona, Italy, 21/06/2023 - 23/06/2023) [Contributo in Atti di convegno]
Zonzini, Federica; Ragusa, Edoardo; De Marchi, Luca; Gastaldo, Paolo, Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks, in: Lecture Notes in Electrical Engineering book series, Springer, «LECTURE NOTES IN ELECTRICAL ENGINEERING», 2024, 1110, pp. 103 - 108 (atti di: Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023., Genova, 28-29 Settembre 2023) [Contributo in Atti di convegno]
Matteo Zauli; Lorenzo Mistral Peppi; Valerio Antonio Arcobelli; Luca Di Bonaventura; Valerio Coppola; Sabato Mellone; Luca De Marchi, Preliminary Development of a Full-Digital Smart System for Chest Auscultation and Further Internet of Medical Things Framework, in: Lecture Notes in Electrical Engineering, «LECTURE NOTES IN ELECTRICAL ENGINEERING», 2024, 1110, pp. 177 - 180 (atti di: ApplePies 2023, Genova, 28-29 Settembre 2023) [Contributo in Atti di convegno]
Nerone M.; Valic I.; Zauli M.; Matteazzi N.; De Marchi L., A low power NFC data over power acquisition system for high speed Electric Motor Rotors, in: 2023 IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2023 - Proceedings, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 88 - 93 (atti di: 3rd IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2023, Modena, Italia, 2023) [Contributo in Atti di convegno]
Mohammadgholiha M.; Moll J.; De Marchi L., A New Generation of Piezoceramic Frequency Steerable Acoustic Transducers for the Rapid Inspection of Large Areas of Metallic Plate Structures, in: IEEE International Ultrasonics Symposium, IUS, IEEE Computer Society, «IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM», 2023, pp. 1 - 4 (atti di: 2023 IEEE International Ultrasonics Symposium, IUS 2023, Montreal, CANADA, 2023) [Contributo in Atti di convegno]
Zauli, Matteo; Zonzini, Federica; Coppola, Valerio; Dertimanis, Vasilis; Chatzi, Eleni; Testoni, Nicola; De Marchi, Luca, A Novel Smart Sensor Node with Embedded Signal Processing Functionalities Addressing Vibration–Based Monitoring, in: 10th European Workshop on Structural Health Monitoring, «LECTURE NOTES IN CIVIL ENGINEERING», 2023, 270, pp. 1000 - 1008 (atti di: 10th European Workshop on Structural Health Monitoring, Palermo, 4-7/07/2022) [Contributo in Atti di convegno]
Reyes O.A.M.; Zima B.; Moll J.; Mohammadgholiha M.; de Marchi L., A Numerical Study on Baseline-Free Damage Detection Using Frequency Steerable Acoustic Transducers, in: European Workshop on Structural Health Monitoring: EWSHM 2022-Volume 3, 152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE, SPRINGER-VERLAG SINGAPORE PTE LTD, «LECTURE NOTES IN CIVIL ENGINEERING», 2023, 270 LNCE, pp. 24 - 33 (atti di: European Workshop on Structural Health Monitoring: EWSHM 2022, Palermo, Italy, 2022, june) [Contributo in Atti di convegno]
Zonzini, Federica; Burioli, Letizia; Gashi, Andi; Mancini, Nicola Francesco; De Marchi, Luca, A Tiny Convolutional Neural Network driven by System Identification for Vibration Anomaly Detection at the Extreme Edge, in: 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2023, pp. 1 - 6 (atti di: 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS), Berlino, 23-25 Luglio 2023) [Contributo in Atti di convegno]Open Access
Zonzini, F; Donati, G; De Marchi, L, A Tiny Machine Learning Approach to the Edge Localization of Acoustic Sources via Convolutional Neural Networks, in: Advances in System-Integrated Intelligence. SYSINT 2022, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, «LECTURE NOTES IN NETWORKS AND SYSTEMS», 2023, 546, pp. 340 - 349 (atti di: 6th International Conference on System-Integrated Intelligence. Intelligent, flexible and connected systems in products and production, Genova, 7-9 Settembre 2022) [Contributo in Atti di convegno]
Montori, Federico; Zyrianoff, Ivan; Gigli, Lorenzo; Calvio, Alessandro; Venanzi, Riccardo; Sindaco, Simone; Sciullo, Luca; Zonzini, Federica; Zauli, Matteo; Testoni, Nicola; Bertacchini, Alessandro; Londero, Elisa; Alessi, Enrico; Felice, Marco Di; Bononi, Luciano; Bellavista, Paolo; De Marchi, Luca; Marzani, Alessandro; Azzoni, Paolo; Cinotti, Tullio Salmon, An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring Scenario, «IEEE ACCESS», 2023, 11, pp. 6837 - 6856 [articolo]Open Access
Marco Dibiase; Luca De Marchi, An Optimal Shaped Sensor Array Derivation, «MICROMACHINES», 2023, 14, Article number: 1154, pp. 1 - 24 [articolo]Open Access
V.A. Arcobelli; M. Zauli; L. De Marchi; L. Chiari; S. Mellone, Assessment of crutch-assisted walking with sensorized crutches in a 6-Minute Walk Test, in: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, 2023, pp. 11 - 12 (atti di: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, Malta, 7-9 Dicembre 2023) [Contributo in Atti di convegno]
