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Abstract: Floating point Convolutional Neural Networks(CNNs) are computationally expensive and deeper networks can be impractical to deploy on FPGAs - consuming a large number of resources and power, ...
BioMON is a Few-shot Meta-learning architecture that employs various classifiers as base learners, targeted for biomedical data collections. Developed by Manos Chatzakis ([email protected]) ...
Abstract: The main objective of firefighters is to optimise readiness in response to hazardous events and to minimise their collateral effects. In this context, few but growing research is ...