Francesco Fraternali

According to our database, Francesco Fraternali authored at least 16 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning.

Francesco Fraternali, Bharathan Balaji, Dezhi Hong, Yuvraj Agarwal, Rajesh K. Gupta

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning.

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh Gupta

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

2020

Reinforcement Learning for Power Management of Batteryless Sensing Systems.

Francesco Fraternali

PhD thesis, 2020

ACES: Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning.

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta

ACM Trans. Sens. Networks, 2020

Zonal Air Handling in Commercial Buildings.

Xiaohan Fu, Jason Koh, Francesco Fraternali, Dezhi Hong, Rajesh K. Gupta

Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Ember: energy management of batteryless event detection sensors with deep reinforcement learning.

Francesco Fraternali, Bharathan Balaji, Dhiman Sengupta, Dezhi Hong, Rajesh K. Gupta

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Ember - energy management of batteryless event detection sensors with deep reinforcement learning: demo abstract.

Francesco Fraternali, Bharathan Balaji, Michael Barrow, Dezhi Hong, Rajesh K. Gupta

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2019

Towards Large-Scale Autonomous Wireless Sensor Networks.

Francesco Fraternali

CoRR, 2019

Demo Abstract: Pible: Battery-Free Mote for Perpetual Indoor BLE Applications.

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta

CoRR, 2019

Resource-Efficient Computing in Wearable Systems.

Mahsan Rofouei, Mahdi Pedram, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh

Proceedings of the IEEE International Conference on Smart Computing, 2019

2018

Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer.

Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Luca Benini

IEEE Trans. Parallel Distributed Syst., 2018

Scaling configuration of energy harvesting sensors with reinforcement learning.

Francesco Fraternali, Bharathan Balaji, Rajesh K. Gupta

Proceedings of the 6th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems, 2018

Pible: battery-free mote for perpetual indoor BLE applications: demo abstract.

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta

Proceedings of the 5th Conference on Systems for Built Environments, 2018

Pible: battery-free mote for perpetual indoor BLE applications.

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta

Proceedings of the 5th Conference on Systems for Built Environments, 2018

2014

Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer.

Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca Benini

Proceedings of the International Symposium on Low Power Electronics and Design, 2014

2012

Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems.

Francesco Fraternali, Mahsan Rofouei, Nabil Alshurafa, Hassan Ghasemzadeh, Luca Benini, Majid Sarrafzadeh

Proceedings of the 7th IEEE International Symposium on Industrial Embedded Systems, 2012