4 accepted papers
We present a web-based system that brings an image-to-text pipeline for Ancient Egyptian hieroglyphs into a single interactive workspace. Instead of only producing a final transcription, our system exposes editable intermediate results so users can validate and correct the pipeline step by step. Use
The recognition of Ancient Egyptian hieroglyphs poses persistent challenges due to limited annotated data and wide stylistic variation. We introduce the Multisource Egyptian Hieroglyphs (MEH) dataset, a new benchmark that captures a diverse range of writing styles with detailed clause-level and OCR…
Today industrial facilities are equipped with lots of sensors throughout all the production line for monitoring means. Gathered data can be used to detect and predict failures; however, manual labeling of large amounts of data for supervised learning is complicated. This paper introduces an innovati…
Modern industrial facilities generate large volumes of raw sensor data during the production process. This data is used to monitor and control the processes and can be analyzed to detect and predict process abnormalities. Typically, the data has to be annotated by experts in order to be used in pred…