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Resource-Efficient Computing in Wearable Systems
Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh
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IEEE Workshop on Smart Service Systems (SmartSys 2019) Washington DC, USA.
June 2019
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Pible: battery-free mote for perpetual indoor BLE applications
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh Gupta. 2018.
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BuildSys '18
October 2018
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Scaling configuration of energy harvesting sensors with reinforcement learning
Francesco Fraternali, Bharathan Balaji, Rajesh Gupta. 2018.
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EnsSys '18
October 2018
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Demo Abstract: Pible: battery-free mote for perpetual indoor BLE applications
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh Gupta. 2018.
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BuildSys '18
October 2018
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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
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TPDS
Oct 2017
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Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer
Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Giampietro Tecchiolli, and Luca Benini. 2014.
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ISLPED '14
August 2014
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Opportunistic Hierarchical Classification for Power Optimization in Wearable Movement Monitoring Systems
Francesco Fraternali, Mahsan Rofouei, Nabil Ashura, Hassan Ghasemzadeh, Luca Benini, Majid Sarrafzadeh
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SIES '12
Apri 2012
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Towards Large-Scale Autonomous Wireless Sensor Networks
Francesco Fraternali (Ph.D Research Exam)
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