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Implementation of Lightweight Convolutional Neural Networks with an Early Exit Mechanism Utilizing 40 nm CMOS Process for Fire Detection in Unmanned Aerial Vehicles.
Yu-Pei Liang
Chen-Ming Chang
Ching-Che Chung
Published in:
Sensors (2024)
Keyphrases
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lightweight
unmanned aerial vehicles
convolutional neural networks
communication infrastructure
autonomous systems
search and rescue
wireless sensor networks
dos attacks
convolutional network
artificial intelligence
low cost
dynamic environments
path planning
rfid tags
aerial vehicles