On-device deep learning: survey on techniques improving energy efficiency of DNNs
A Boumendil, W Bechkit… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Providing high-quality predictions is no longer the sole goal for neural networks. As we live
in an increasingly interconnected world, these models need to match the constraints of …
in an increasingly interconnected world, these models need to match the constraints of …
Lightweight RF Fingerprint Identification using Cross Modal Knowledge Distillation: Learning from Wired to Wireless
Y Liu, N Gao, Y Chen, M Matthaiou… - … and Signal Processing …, 2024 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is considered as a feasible zero-trust IoT
identification, however, the presence of channel effects in wireless propagation significantly …
identification, however, the presence of channel effects in wireless propagation significantly …
Quality of Data (QoD) in Internet of Things (IOT): An Overview, State-of-the-Art, Taxonomy and Future Directions.
Abstract The Internet of Things (IoT) data is the main component for finding the basis that
allows decisions to be made intelligently and enables other services to be explored and …
allows decisions to be made intelligently and enables other services to be explored and …
Design of LoRa-based multi-parameters river water quality monitoring system
S Sun, Y Cui, D He, X Wang - 2024 9th International …, 2024 - ieeexplore.ieee.org
The traditional fixed water quality detection system faces the problems of low coverage and
the inability to obtain the full picture of water quality in the whole watershed in real time. In …
the inability to obtain the full picture of water quality in the whole watershed in real time. In …