A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

Abstract: Hyperspectral images (HSIs) are rich in spectral information and are widely used in the field of land-cover classification. However, existing deep learning methods ignore the combination of ...

Abstract: Data-driven fault diagnosis is a critical component of industrial process monitoring. To more effectively capture the temporal relationships within multi-sensor data and the spatial ...