This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code design by modeling the ...

P-DeSeRay consists of a sequence of contracting ConvNeXt encoder blocks followed by a stack of expanding convolutional decoder blocks. Figure 1. The encoder-decoder architecture of P-DeSeRay for ...

The absolute encoder achieves 1nm resolution and transmits the current stage position to the controller immediately after power up – no referencing required and no possibility to lose encoder counts ...

Overview of our UNETR++ approach with hierarchical encoder-decoder structure. The 3D patches are fed to the encoder, whose outputs are then connected to the decoder via skip connections followed by ...

Measuring wheels combined with IXARC rotary encoders measure linear motion in conveyor belts and rolled products.

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

The network employs ShuffleNet v2 as the backbone to extract features at multiple levels. The decoder module integrates a convolutional block attention mechanism that combines both channel and spatial ...

This paper investigates the joint learning of short to mid block-length coding schemes and associated Belief-Propagation (BP) like decoders using Machine Learning (ML) techniques. An interpretable ...