Variational Autoencoders (VAEs) are an artificial neural network architecture to generate new data. They are similar to regular autoencoders, which consist of an encoder and decoder. The encoder ...

In this work, we present a novel Encoder-Decoder Graph Convolutional Network (ED-GCN) to perform auto-segmentation on two widely accepted clinical tests for human mobility and balance assessment: the ...

AV1 is a powerful video encoder-decoder (commonly called a codec ... leading to increased costs while choking network bandwidth and clogging cloud architectures. The MA35D has up to 4x the ...

We present an auto-encoder/decoder (Auto-ED) deep neural network that can learn the deep representation and conduct classification task concurrently. Since the property of cost-effective, the ...

However, an RC-network (R1-C1) is added deliberately to suppress power ... Because you learned from the first part of this article how to decode IR signals transmitted by remote controls using Arduino ...