Search Results for author: Francesco Fraternali

Found 3 papers, 0 papers with code

ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning

no code implementations4 Sep 2019 Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta

We propose using reinforcement learning to optimize the operation of energy harvesting sensors to maximize sensing quality with available energy.

reinforcement-learning Reinforcement Learning (RL) +1

Resource-Efficient Computing in Wearable Systems

no code implementations7 Jul 2019 Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh

We propose two optimization techniques to minimize memory usage and computation while meeting system timing constraints for real-time classification in wearable systems.

Activity Recognition General Classification

Scaling Configuration of Energy Harvesting Sensors with Reinforcement Learning

no code implementations27 Nov 2018 Francesco Fraternali, Bharathan Balaji, Rajesh Gupta

We show that it is possible to reduce the number of RL policies by using a single policy for nodes that share similar lighting conditions.

reinforcement-learning Reinforcement Learning (RL)

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