EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems.
Rachmad Vidya Wicaksana PutraMuhammad Abdullah HanifMuhammad ShafiquePublished in: CoRR (2023)
Keyphrases
- embedded systems
- energy efficient
- spiking neural networks
- wireless sensor networks
- energy consumption
- biologically inspired
- low cost
- sensor networks
- energy efficiency
- processing power
- cerebellar model
- base station
- software systems
- learning rules
- routing protocol
- data transmission
- neural network
- smart home
- routing algorithm
- feed forward
- sensor nodes
- biologically plausible
- liquid state machine
- data sets
- object oriented
- data analysis
- database systems