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Adaptive Two-Stage Edge-Centric Architecture for Deeply-Learned Embedded Real-Time Target Classification in Aerospace Sense-and-Avoidance Applications

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1. http://rave.ohiolink.edu/etdc/view?acc_num=wright1621886997260122

Identifer	oai:union.ndltd.org:OhioLink/oai:etd.ohiolink.edu:wright1621886997260122
Date	26 May 2021
Creators	Speranza, Nicholas A.
Publisher	Wright State University / OhioLINK
Source Sets	Ohiolink ETDs
Language	English
Detected Language	English
Type	text
Source	http://rave.ohiolink.edu/etdc/view?acc_num=wright1621886997260122
Rights	unrestricted, This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.