Francesco Fraternali

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 17

Top Topics

Hierarchical Classification

Sensor Networks

Reinforcement Learning

Event Detection

Top Venues

BuildSys@SenSys

ACM Trans. Sens. Networks

Publications

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh Gupta
Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning. BuildSys@SenSys (2021)
Francesco Fraternali, Bharathan Balaji, Dezhi Hong, Yuvraj Agarwal, Rajesh K. Gupta
Marble: collaborative scheduling of batteryless sensors with meta reinforcement learning. BuildSys@SenSys (2021)
Xiaohan Fu, Jason Koh, Francesco Fraternali, Dezhi Hong, Rajesh K. Gupta
Zonal Air Handling in Commercial Buildings. BuildSys@SenSys (2020)
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta
ACES: Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning. ACM Trans. Sens. Networks 16 (4) (2020)
Francesco Fraternali, Bharathan Balaji, Michael Barrow, Dezhi Hong, Rajesh K. Gupta
Ember - energy management of batteryless event detection sensors with deep reinforcement learning: demo abstract. SenSys (2020)
Francesco Fraternali, Bharathan Balaji, Dhiman Sengupta, Dezhi Hong, Rajesh K. Gupta
Ember: energy management of batteryless event detection sensors with deep reinforcement learning. SenSys (2020)
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta
ACES - Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning. CoRR (2019)
Francesco Fraternali
Towards Large-Scale Autonomous Wireless Sensor Networks. CoRR (2019)
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta
Demo Abstract: Pible: Battery-Free Mote for Perpetual Indoor BLE Applications. CoRR (2019)
Mahsan Rofouei, Mahdi Pedram, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh
Resource-Efficient Computing in Wearable Systems. SMARTCOMP (2019)
Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh
Resource-Efficient Computing in Wearable Systems. CoRR (2019)
Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Luca Benini
Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer. IEEE Trans. Parallel Distributed Syst. 29 (7) (2018)
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta
Pible: battery-free mote for perpetual indoor BLE applications. BuildSys@SenSys (2018)
Francesco Fraternali, Bharathan Balaji, Rajesh K. Gupta
Scaling configuration of energy harvesting sensors with reinforcement learning. ENSsys@SenSys (2018)
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta
Pible: battery-free mote for perpetual indoor BLE applications: demo abstract. BuildSys@SenSys (2018)
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta
Pible: Battery-Free Mote for Perpetual Indoor BLE Applications. CoRR (2018)
Francesco Fraternali, Bharathan Balaji, Rajesh K. Gupta
Scaling Configuration of Energy Harvesting Sensors with Reinforcement Learning. CoRR (2018)
Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, Luca Benini
Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer. ISLPED (2014)
Francesco Fraternali, Mahsan Rofouei, Nabil Alshurafa, Hassan Ghasemzadeh, Luca Benini, Majid Sarrafzadeh
Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems. SIES (2012)