MASSIMO PONCINO

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+39 0110907011 / 7011 (DAUIN)

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Most recent publications

Bocca, Alberto; Chen, Yukai; Macii, Alberto; Macii, Enrico; Poncino, Massimo (In stampa)
Adapting the Peukert equation to batteries discharged at pulse currents. In: 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Sorrento, Italy, 22-24 June 2022, pp. 64-69. ISBN: 978-1-6654-8459-6
Alamin, KHALED SIDAHMED SIDAHMED; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, ... (In stampa)
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. In: IEEE International Conference on Omin-Layer Intelligent Systems (COINS), Barcelona (Spagna), 1-3 August 2022, pp. 1-6
Alamin, K.; Vinco, S.; Poncino, M.; Dall’Ora, N.; Fraccaroli, E.; Quaglia, D. (In stampa)
Digital Twin Extension with Extra-Functional Properties. In: Design Automation in Europe (DATE) Conference
Orlando, Matteo; Estebsari, Abouzar; Pons, Enrico; Pau, Marco; Quer, Stefano; Poncino, ... (2022)
A Smart Meter Infrastructure for Smart Grid IoT Applications. In: IEEE INTERNET OF THINGS JOURNAL, vol. 9, pp. 12529-12541. ISSN 2327-4662
Dall’Ora, Nicola; Alamin, KHALED SIDAHMED SIDAHMED; Fraccaroli, Enrico; Poncino, ... (2022)
Digital Transformation of a Production Line: Network Design, Online Data Collection and Energy Monitoring. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol. 10, pp. 46-59. ISSN 2168-6750
Burrello, Alessio; Dequino, Alberto; Jahier Pagliari, Daniele; Conti, Franceso; ... (2021)
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. In: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, USA, 2021, pp. 1-6. ISBN: 978-1-6654-3922-0
Xie, Chen; JAHIER PAGLIARI, Daniele; Calimera, Andrea; Macii, Enrico; Poncino, Massimo (2021)
ACME: An energy-efficient approximate bus encoding for I2C. In: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Boston, MA, USA, 26-28 July 2021, pp. 1-6. ISBN: 978-1-6654-3923-7
Cannizzaro, Davide; Varrella, Antonio Giuseppe; Paradiso, Stefano; Sampieri, Roberta; ... (2021)
In-Situ Monitoring of Additive Manufacturing. In: Predictive Maintenance in Smart Factories / S.N., S.L., Springer, Singapore, pp. 207-228. ISBN: 978-981-16-2939-6
Bocca, Alberto; Chen, Yukai; Wang, Wenlong; Macii, Alberto; Macii, Enrico; Poncino, ... (2021)
A quantitive analysis of the recovery effect in batteries from datasheets. In: 2021 International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design (SMACD), Online Event, 19 – 22 July 2021, pp. 96-99. ISBN: 978-3-8007-5588-2
Risso, M.; Burrello, A.; JAHIER PAGLIARI, Daniele; Conti, F.; Lamberti, L.; Macii, E.; ... (2021)
Pruning in Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. In: 58th ACM/IEEE Design Automation Conference, DAC 2021, USA, 2021, pp. 1015-1020. ISBN: 978-1-6654-3274-0
Burrello, A.; JAHIER PAGLIARI, Daniele; Risso, M.; Benatti, S.; Macii, E.; Benini, L.; ... (2021)
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. In: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, vol. 15, pp. 1196-1209. ISSN 1932-4545
Orlando, Matteo; Bottaccioli, Lorenzo; Vinco, Sara; Macii, Enrico; Poncino, Massimo; ... (2021)
Design of District-level Photovoltaic Installations for Optimal Power Production and Economic Benefit. In: IEEE International Computer Software and Applications Conference (COMPSAC), Virtual Conference (due to Covid-19), July 12-16, 2021
Cerquitelli, Tania; Ventura, Francesco; Apiletti, Daniele; Baralis, Elena; Macii, ... (2021)
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. In: EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174
Cerquitelli, Tania; JAHIER PAGLIARI, Daniele; Calimera, Andrea; Bottaccioli, Lorenzo; ... (2021)
Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools. In: PROCEEDINGS OF THE IEEE, vol. 109, pp. 399-422. ISSN 0018-9219
Chen, Yukai; Wang, Wenlong; Jahier Pagliari, Daniele; Macii, Enrico; Poncino, Massimo (2021)
Assessing the impact of sensor-based task scheduling on battery lifetime in IoT devices. In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 70, pp. 1-15. ISSN 0018-9456
Risso, Matteo; Burrello, Alessio; Jahier Pagliari, Daniele; Benatti, Simone; Macii, ... (2021)
Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. In: 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu (Korea), 22-28 May 2021, pp. 1-5. ISSN 0271-4302. ISBN: 978-1-7281-9201-7
Daghero, F.; Xie, C.; Jahier Pagliari, D.; Burrello, A.; Castellano, M.; Gandolfi, L.; ... (2021)
Ultra-compact binary neural networks for human activity recognition on RISC-V processors. In: 18th ACM International Conference on Computing Frontiers 2021, CF 2021, Virtual conference, 2021, pp. 3-11. ISBN: 9781450384049
Daghero, F.; Jahier Pagliari, D.; Poncino, M. (2021)
Energy-efficient deep learning inference on edge devices. In: Advances in Computers / Shiho K., Ganesh C. D., S.L., Elsevier, pp. 247-301. ISBN: 978-0-12-823123-4
Burrello, A.; Jahier Pagliari, D.; Bartolini, A.; Benini, L.; Macii, E.; Poncino, M. (2021)
Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks. In: Workshops held at the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, 2020, pp. 277-289. ISSN 0302-9743. ISBN: 978-3-030-71592-2
Jahier Pagliari, Daniele; Chiaro, Roberta; Macii, Enrico; Poncino, Massimo (2021)
CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. In: IEEE TRANSACTIONS ON COMPUTERS, vol. 70, pp. 1626-1639. ISSN 0018-9340
Vinco, Sara; Jahier Pagliari, Daniele; Bottaccioli, Lorenzo; Patti, Edoardo; Macii, ... (2021)
A Microservices-based Framework for Smart Design and Optimization of PV Installations. In: IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, vol. 6, pp. 531-543. ISSN 2377-3782
Baek, Donkyu; Chen, Yukai; Chang, Naehyuck; Macii, Enrico; Poncino, Massimo (2020)
Battery-aware electric truck delivery route exploration. In: ENERGIES, vol. 13, pp. 1-18. ISSN 1996-1073
Chen, Y.; Vinco, S.; Baek, D.; Quer, S.; Macii, E.; Poncino, M. (2020)
Cost-aware design and simulation of electrical energy systems. In: ENERGIES, vol. 13. ISSN 1996-1073
Jahier Pagliari, D.; Chiaro, R.; Chen, Y.; Vinco, S.; Macii, E.; Poncino, M. (2020)
Input-dependent edge-cloud mapping of recurrent neural networks inference. In: 57th ACM/IEEE Design Automation Conference, DAC 2020, usa, 2020, pp. 1-6. ISBN: 978-1-7281-1085-1
Daghero, F.; Burrello, A.; Jahier Pagliari, D.; Benini, L.; Macii, E.; Poncino, M. (2020)
Energy-efficient adaptive machine learning on IoT end-nodes with class-dependent confidence. In: 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020, Virtual conference, 2020, pp. 1-4. ISBN: 978-1-7281-6044-3
Donkyu, Baek; Chen, Yukai; Chang, Naehyuck; Macii, Enrico; Poncino, Massimo (2020)
Energy-efficient coordinated electric truck-drone hybrid delivery service planning. In: 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), Turin (Italy), 18/11/2020-20/11/2020, pp. 1-6. ISBN: 978-8-8872-3749-8
Chen, Yukai; Alamin, KHALED SIDAHMED SIDAHMED; JAHIER PAGLIARI, Daniele; Vinco, Sara; ... (2020)
Electric Vehicles Plug-In Duration Forecasting Using Machine Learning for Battery Optimization. In: ENERGIES, vol. 13. ISSN 1996-1073
JAHIER PAGLIARI, Daniele; Poncino, Massimo (2020)
On the impact of smart sensor approximations on the accuracy of machine learning tasks. In: HELIYON, vol. 6. ISSN 2405-8440
Jahier Pagliari, Daniele; Durand, Yves; Coriat, David; Beigne, Edith; Macii, Enrico; ... (2019)
Fine-grain Back Biasing for the Design of Energy-Quality Scalable Operators. In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, vol. 38, pp. 1042-1055. ISSN 0278-0070
JAHIER PAGLIARI, Daniele; Poncino, Massimo; Durand, Yves; Beigne, Edith (2018)
Processing circuit capable of dynamically modifying its precision. N. brevetto: US10193553B2, propr. brevetto: 3 - Politecn. di Torino et al
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