An Energy-Efficient Graphene-based Spiking Neural Network Architecture for Pattern Recognition.
Nicoleta Cucu LaurencinCharles TimmermansSorin Dan CotofanaPublished in: ISCAS (2024)
Keyphrases
- pattern recognition
- wireless sensor networks
- bio inspired
- energy efficient
- image processing
- feed forward
- image analysis
- computer vision
- signal processing
- graph matching
- sensor networks
- parallel distributed processing
- basal ganglia
- neuron model
- pattern recognition problems
- pattern classification
- machine learning
- neural network
- energy consumption
- speech recognition
- pattern analysis
- support vector machine svm
- fuzzy sets
- spiking neurons
- single neuron
- feature extraction
- sensor nodes
- rough sets
- spike trains
- mac protocol
- artificial neural networks