The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...
Abstract: In unknown environments, achieving autonomous navigation for uncrewed aerial vehicles (UAVs) is a complex task. Ensuring that UAVs reach their destinations safely and efficiently remains a ...
A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.
Abstract: Structural components produced through Selective Laser Melting (SLM) are often subjected to vibrational tests to evaluate and optimize their dynamic behavior under random vibrations and ...