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CryptoDL: Predicting Dyslexia Biomarkers from Encrypted Neuroimaging Dataset Using Energy-Efficient Residue Number System and Deep Convolutional Neural Network.
Opeyemi Lateef Usman
Ravie Chandren Muniyandi
Published in:
Symmetry (2020)
Keyphrases
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energy efficient
wireless sensor networks
sensor networks
convolutional neural network
real time
neural network
mobile agents
data transmission
face recognition
data analysis
management system
ambient intelligence
cost effective
computer networks
computing environments
data aggregation