Avoid these mistakes to build automation that survives UI changes, validates outcomes properly, and provides useful feedback.

Abstract: This research focuses on improving the k- Anonymization for numerical attributes by optimizing the critical phases of clustering and generalization through a novel Segment Tree-Based ...

Abstract: In the simultaneous localization and mapping (SLAM) technique, the presence of cumulative errors in laser odometry positions leads to localization bias or even map-building failure. To ...