Abstract: System identification plays a crucial role in modern control and automation by enabling the development of mathematical models from observed input-output data of dynamic systems. This paper ...
Abstract: The reliable prediction of the oil quality of power transformers is crucial for an efficient and safe energy supply. In this contribution, a modified nonlinear autoregressive network with ...
Autoregressive image generation aims to predict the next token based on previous ones. However, existing image tokenizers encode tokens with bidirectional dependencies during the compression process, ...
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This article addresses a practical task: high-resolution image anomaly detection (HRIAD). In comparison to conventional image anomaly detection for low-resolution images, HRIAD imposes a heavier ...