Defect-Tolerant and Energy-Efficient Training of Multi-Valued and Binary Memristor Crossbars for Near-Sensor Cognitive Computing.
Khoa Van PhamTien Van NguyenKyeong-Sik MinPublished in: ASICON (2019)
Keyphrases
- multi valued
- energy efficient
- sensor networks
- cognitive computing
- wireless sensor networks
- cognitive informatics
- energy consumption
- sensor data
- computational intelligence
- sensor nodes
- quantum mechanics
- base station
- energy efficiency
- boolean functions
- real time
- routing protocol
- data collection
- data transmission
- normal form
- data streams
- information processing
- database
- routing algorithm
- mobile phone
- undirected graph
- velocity field
- artificial neural networks
- artificial intelligence