As they prepare to field the Behavioral Risk Factor Surveillance System for 2027, states can secure the important data necessary to guide policy and resource choices related to food security.
Abstract: Deploying deep learning models for industrial defect detection is challenging, as smaller models lack precision and larger models require significant computational resources. To address this ...
Abstract: Combining unmanned aerial vehicles (UAVs) with deep learning algorithms offers an efficient, safe and inexpensive alternative to maritime search and rescue (mSAR) missions. Maritime UAV ...