62 citations · 71 across the 4 of their papers we have counts for
3 papers · 1 filter
Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach
Enrico Tabanelli, Davide Brunelli, Andrea Acquaviva +1
Non-Intrusive Load Monitoring (NILM) enables the disaggregation of the global power consumption of multiple loads, taken from a single smart electrical meter, into appliance-level…
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers
Emanuele Parisi, Francesco Barchi, Andrea Bartolini +2
The analysis of source code through machine learning techniques is an increasingly explored research topic aiming at increasing smartness in the software toolchain to exploit moder…
Learning Behavioral Representations of Human Mobility
Maria Luisa Damiani, Andrea Acquaviva, Fatima Hachem +1
In this paper, we investigate the suitability of state-of-the-art representation learning methods to the analysis of behavioral similarity of moving individuals, based on CDR traje…