Abstract: This work investigates the problem of efficiently learning discriminative low-dimensional (LD) representations of multiclass image objects. We propose a generic end-to-end approach that ...

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I used n8n for a while. Built some serious workflows. Felt like a wizard. Until I realized I was spending more time debugging ...

Abstract: As part of the present work, it aims to examine the use of deep learning in the improvement of AMC in 5G networks. While traditional AMC methods like the ones mentioned above are applicable ...