Cracks are one of the most common categories of pavement distress that may potentially threaten road and highway safety. Thus, a reliable and efficient pixel-level method of crack detection is ...

The Encoder-Decoder architecture is widely used in sequence-to-sequence tasks such as machine translation, text summarization, and speech recognition. However, traditional Encoder-Decoder models face ...

An encoder-decoder architecture within a classical signal processing framework for real-time barcode segmentation. - DoMondo/an_encoder_decoder_architecture. Skip to content. Navigation Menu Toggle ...

This paper presents online-capable deep learning model for probabilistic vehicle trajectory prediction. We propose a simple encoder-decoder architecture based on multihead attention. The proposed ...

Generative deep learning for probabilistic streamflow forecasting: conditional variational auto-encoder; A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting; Bayesian ...

Such a capability is essential to making AI-based surrogate models practically useful. While simple feedforward networks are used for one-dimensional (1D) Poisson equation, an encoder-decoder ...