Abstract: High-quality images under transformer oil are crucial for accurately and reliably diagnosing internal faults in oil-immersed transformers. However, with the increase in usage time, ...
Abstract: In large-scale acoustic SLAM, the rapid growth of measurement data significantly increases the computational burden of estimating robot trajectories and sound source positions. To overcome ...