All publications

Corazza, Giovanni Emanuele, Creativity and Futures Studies, in: Handbook of Futures Studies, Cheltenham, Gloucestershire, Edward Elgar Publishing Ltd., 2024, pp. 131 - 144 [Chapter or essay]

Olama, Alireza; Carnevale, Guido; Notarstefano, Giuseppe; Camponogara, Eduardo, Distributed ℓ0 Sparse Aggregative Optimization, in: IEEE International Conference on Automation Science and Engineering, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE Computer Society, 2024, pp. 1747 - 1752 (atti di: 20th IEEE International Conference on Automation Science and Engineering, CASE 2024, ita, 2024) [Contribution to conference proceedings] Open Access

Carnevale, Guido; Fabiani, Filippo; Fele, Filiberto; Margellos, Kostas; Notarstefano, Giuseppe, Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens, in: Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS OF THE ... IEEE CONFERENCE ON DECISION & CONTROL.», 2024, pp. 3918 - 3923 (atti di: 63rd IEEE Conference on Decision and Control, CDC 2024, Allianz MiCo Milano Convention Centre, ita, 2024) [Contribution to conference proceedings]

Carnevale, Guido; Mimmo, Nicola; Notarstefano, Giuseppe, Extremum-Seeking Policy Iteration for Data-Driven LQR, in: Proceedings of the IEEE Conference on Decision and Control, Piscataway, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS OF THE ... IEEE CONFERENCE ON DECISION & CONTROL.», 2024, pp. 6263 - 6267 (atti di: 63rd IEEE Conference on Decision and Control, CDC 2024, Allianz MiCo Milano Convention Centre, ita, 2024) [Contribution to conference proceedings] Open Access

Musa, A.; Volante, F.; Parisi, E.; Barbierato, L.; Patti, E.; Bartolini, A.; Acquaviva, A.; Barchi, F., TitanSSL: Towards Accelerating OpenSSL in a Full RISC-V Architecture Using OpenTitan Root-of-Trust, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 14988, pp. 169 - 183 (atti di: 43rd International Conference on Safety, Reliability and Security of Computer-based Systems, SAFECOMP 2024, ita, 2024) [Contribution to conference proceedings]

Gritli, Yasser; Rossi, Claudio; Pilati, Alessio; Tani, Angelo; Casadei, Domenico, Assessment of Current and Voltage Signature Analysis for the Diagnosis of Open-Switch Faults in Asymmetrical Six-Phase AC PMSM Drives for Electric Vehicles Applications, in: 2024 IEEE 3rd Industrial Electronics Society Annual On-Line Conference (ONCON), Piscataway, NJ, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 6 (atti di: IEEE 3rd Annual Online Conference of the IEEE Industrial Electronics Society December 08-10, 2024, Beijing, China, December 08-10, 2024) [Contribution to conference proceedings]

Monteiro, V.; Mandrioli, R.; Ricco, M.; Afonso, J. L., A Modular Interleaved-Based DC-DC Converter Topology for EV Fast Chargers, in: IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, 2024, pp. 1 - 6 (atti di: IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, USA, 03/10/2024) [Contribution to conference proceedings] Open Access

Paternost, R. F.; Mandrioli, R.; Cirimele, V.; Ricco, M.; Grandi, G., Solutions for Retrofitting Catenary-Powered Transportation Systems Toward Greater Electrification in Smart Cities, «SMART CITIES», 2024, 7, pp. 3853 - 3870 [Scientific article] Open Access

He, Minjun; Li, Jianmin; Mingotti, Alessandro; Tang, Qiu; Peretto, Lorenzo; Teng, Zhaosheng, Deep Fractional Multidimensional Spectrum Convolutional Neural Fusion Network for Identifying Complex Power Quality Disturbance, «IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT», 2024, 73, pp. 1 - 12 [Scientific article] Open Access

Simini, A.; Piani, M.; Bortolotti, G.; Sanchez, A. M.; Mengoli, D.; Manfrini, L., Populating Digital Orchards: Evaluation of a 3D Positioning Algorithm for Semi-Automated Data Collection and Spawning, in: 2024 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), New York, IEEE Institute of Electrical and Electronics Engineers, «...IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY», 2024, pp. 52 - 57 (atti di: IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Padova, 29-31 ottobre) [Contribution to conference proceedings]

Piani, M.; Bortolotti, G.; Rossi, S.; Omodei, N.; Manfrini, L.; Mengoli, D., Trunk Based Monitoring and Data Collection System on Real-World Orchards: A Case Study, in: 2024 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2024 - Proceedings, New York, IEEE institute of electrical and electronics engineers, «...IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY», 2024, pp. 319 - 324 (atti di: 2024 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2024, ita, 2024) [Contribution to conference proceedings]

Amatetti, Carla; Parzysz, Fanny; Reynaud, Laurent; Scalise, Sandro; Guidotti, Alessandro; Chuberre, Nicolas; Benbadis, Farid; Neri, Massimo; Vazquez, Miguel A.; Vanelli-Coralli, Alessandro, The role of 6G NTN in emergency and crisis management, in: 2024 IEEE Future Networks World Forum (FNWF), Piscataway, IEEE, 2024, pp. 75 - 81 (atti di: 2024 IEEE Future Networks World Forum (FNWF), Dubai, 15-17 October 2024) [Contribution to conference proceedings] Open Access

Galassi, Kevin; Caporali, Alessio; Laudante, Gianluca; Palli, Gianluca, Scalable Shared Encoding Architecture for Learning-Based Error Detection in Robotic Wiring Harness Assembly, in: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Piscataway, Institute of Electrical and Electronics Engineers Inc., «IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS», 2024, pp. 518 - 523 (atti di: 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2024, usa, 2024) [Contribution to conference proceedings] Open Access

Barth, Benjamin; Sebastian, Roshith; De Cola, Tomaso; Guidotti, Alessandro, NTN Architecture for PPDR in 5G-Advanced, in: 2024 IEEE Future Networks World Forum, FNWF 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 351 - 356 (atti di: 2024 IEEE Future Networks World Forum, FNWF 2024, are, 2024) [Contribution to conference proceedings]

Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea, LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability, «IEEE SENSORS LETTERS», 2024, 8, pp. 1 - 4 [Scientific article] Open Access

De Filippo, Bruno; Amatetti, Carla; Campana, Riccardo; Guidotti, Alessandro; Vanelli-Coralli, Alessandro, An SCMA Receiver for 6G NTN based on Multi-Task Learning, in: 2024 IEEE Globecom Workshops (GC Wkshps), 2024, pp. 1 - 6 (atti di: 2024 IEEE Globecom Workshops (GC Wkshps), Cape Town, Sudafrica, 08-12 Dicembre 2024) [Contribution to conference proceedings]

Cortesi, M.; Warton, K.; Ford, C. E., Beyond 2D cell cultures: how 3D models are changing the in vitro study of ovarian cancer and how to make the most of them, «PEERJ», 2024, 12, pp. 1 - 28 [Scientific article] Open Access

Werner, Bonnita; Powell, Elyse; Duggan, Jennifer; Cortesi, Marilisa; Lee, Yeh Chen; Arora, Vivek; Athavale, Ramanand; Dean, Michael; Warton, Kristina; Ford, Caroline E., Cell‐free DNA from ascites identifies clinically relevant variants and tumour evolution in patients with advanced ovarian cancer, «MOLECULAR ONCOLOGY», 2024, 18, pp. 2668 - 2683 [Scientific article] Open Access

Cortesi, Marilisa; Liu, Dongli; Powell, Elyse; Barlow, Ellen; Warton, Kristina; Ford, Caroline E., Accurate Identification of Cancer Cells in Complex Pre‐Clinical Models Using a Deep‐Learning Neural Network: A Transfection‐Free Approach, «ADVANCED BIOLOGY», 2024, 8, pp. 1 - 13 [Scientific article] Open Access

Brumali, R.; Carnevale, G.; Notarstefano, G., A Deep Learning Approach for Distributed Aggregative Optimization with Users’ Feedback, in: Proceedings of Machine Learning Research, ML Research Press, «PROCEEDINGS OF MACHINE LEARNING RESEARCH», 2024, 242, pp. 1552 - 1564 (atti di: 6th Annual Learning for Dynamics and Control Conference, L4DC 2024, Oxford, 2024) [Contribution to conference proceedings] Open Access