A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...
AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.
Traditional safety protocols weren’t designed for self-improving systems, which raises important questions about validation, ...
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VeritasChain releases CPP with LiDAR/ToF depth analysis. VeraSnap delivers world's first consumer LiDAR-based screen ...
Abstract: Due to the obvious randomness, pedestrian crossing behavior is hard to predict, which challenges the decision-making of autonomous vehicles (AVs). Recent solutions have been able to adapt to ...
Abstract: Employee attrition poses considerable challenges for organizations by affecting productivity and increasing recruitment costs. This study employs tree-based machine learning classifiers to ...