Abstract: Coverage optimization in Wireless Sensor Networks is a fundamental yet NP-hard problem that directly affects monitoring quality and efficiency. Existing solutions mainly rely on ...
Abstract: This work investigates the suitability and applicability of the derivative-free version of the distributed augmented Lagrangian based alternating direction inexact Newton (AL-ADIN) ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
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