Barchi F.; Pasini G.; Parisi E.; Tagliavini G.; Bartolini A.; Acquaviva A., RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor, in: OpenAccess Series in Informatics, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2023, 107, pp. 1 - 12 (atti di: 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, PARMA-DITAM 2023, francia, 2023) [Contribution to conference proceedings]
MOALLEMI, AMIRHOSSEIN; ZANATTA, LUCA; BURRELLO, ALESSIO; SALVARO, MATTIA; LONGO, MONICA; DARO, PAOLA; BARCHI, FRANCESCO; BRUNELLI, DAVIDE; BENINI, LUCA; ACQUAVIVA, ANDREA, UNSUPERVISED VEHICLE CLASSIFICATION USING A STRUCTURAL HEALTH MONITORING SYSTEM, in: STRUCTURAL HEALTH MONITORING 2023, 2023, pp. 1069 - 1076 (atti di: 14th international workshop on structural health monitoring, Stanford, California, 12-14th of September 2023) [Contribution to conference proceedings]
Alberto Musa, Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, A Method for Accelerated Simulations of Reinforcement Learning Tasks of UAVs in AirSim, in: SIMUL 2022, The Fourteenth International Conference on Advances in System Simulation, OTH Regensburg, Frank Herrmann, 2022, pp. 46 - 53 (atti di: SIMUL 2022, The Fourteenth International Conference on Advances in System Simulation, Lisbon, Portugal, from October 16, 2022 to October 20, 2022) [Contribution to conference proceedings]
Zanatta L.; Barchi F.; Bartolini A.; Acquaviva A., Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance, in: ACM International Conference Proceeding Series, Association for Computing Machinery, 2022, pp. 199 - 200 (atti di: 19th ACM International Conference on Computing Frontiers, CF 2022, Castello del Valentino, ita, 2022) [Contribution to conference proceedings]
Bartolini A.; Ficarelli F.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L., Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers, in: Proceedings of the 2022 IEEE 35th International System-on-Chip Conference (SOCC), 2022, 2022-September, pp. 1 - 6 (atti di: 2022 IEEE 35th International System-on-Chip Conference (SOCC), Belfast, 05/09/2022) [Contribution to conference proceedings]Open Access
Ficarelli F.; Bartolini A.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L., Poster: Meet Monte Cimone: Exploring RISC-V High Performance Compute Clusters, in: ACM International Conference Proceeding Series, Association for Computing Machinery, 2022, pp. 207 - 208 (atti di: 19th ACM International Conference on Computing Frontiers, CF 2022, Castello del Valentino, ita, 2022) [Contribution to conference proceedings]
Ardebili, Mohsen Seyedkazemi; Bartolini, Andrea; Acquaviva, Andrea; Benini, Luca, Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems, 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 INTERNATIONAL PUBLISHING AG, 2022, 13387 LNCS, pp. 262 - 276 (atti di: 37th International Conference on High Performance Computing , ISC High Performance 2022, Hamburg, 29 May 2022through 2 June 2022) [Contribution to conference proceedings]
Nicola Elia; Francesco Barchi; Emanuele Parisi; Livio Pompianu; Salvatore Carta; Andrea Bartolini; Andrea Acquaviva, Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications, in: Advances in Databases and Information Systems: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, 2022, 13389 LNCS, pp. 377 - 391 (atti di: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings, Politecnico di Torino, 6/9/2022) [Contribution to conference proceedings]
Parisi, E; Moallemi, A; Barchi, F; Bartolini, A; Brunelli, D; Buratti, N; Acquaviva, A, Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring, in: 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 234 - 239 (atti di: Metrology for Industry 4.0 & IoT, Trento, Italy, 7-9 - June - 2022) [Contribution to conference proceedings]Open Access
Tabanelli, E.; Brunelli, D.; Acquaviva, A.; Benini, L., Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach, «IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS», 2022, 18, Article number: 9426443 , pp. 943 - 952 [Scientific article]Open Access
Patti, Edoardo; Brundu, Francesco G.; Bellagarda, Andrea; Bottaccioli, Lorenzo; Rapetti, Niccolò; Verda, Vittorio; Guelpa, Elisa; Rietto, Laura; Macii, Enrico; Acquaviva, Andrea; Krylovskiy, Alexandr; Jahn, Marco, Combining BIM, GIS, and IoT to Foster Energy Management and Simulation in Smart Cities, in: Handbook of Research on Developing Smart Cities Based on Digital Twins, Hershey, Pennsylvania, IGI global, 2021, pp. 425 - 447 (ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING BOOK SERIES) [Chapter or essay]
Aliberti A.; Fucini D.; Bottaccioli L.; Macii E.; Acquaviva A.; Patti E., Comparative analysis of neural networks techniques to forecast Global Horizontal Irradiance, «IEEE ACCESS», 2021, 9, Article number: 9528372 , pp. 122829 - 122846 [Scientific article]Open Access
Zanatta L.; Barchi F.; Burrello A.; Bartolini A.; Brunelli D.; Acquaviva A., Damage detection in structural health monitoring with spiking neural networks, in: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 - Proceedings, New York, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 105 - 110 (atti di: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021, Virtual Conference, 2021) [Contribution to conference proceedings]
Barchi, F.; Parisi, E.; Urgese, G.; Ficarra, E.; Acquaviva, A., Exploration of Convolutional Neural Network models for source code classification, «ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE», 2021, 97, Article number: 104075 , pp. 1 - 11 [Scientific article]Open Access
Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, Making the Most of Scarce Input Data in Deep Learning-based Source Code Classification for Heterogeneous Device Mapping, «IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS», 2021, 41, Article number: 9544064 , pp. 1 - 12 [Scientific article]Open Access
