Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical ...
Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...
Abstract: Quantum machine learning (QML) presents a promising avenue for addressing complex classification challenges, yet its application in medical imaging remains largely unexplored. This work ...
Abstract: Tree species classification plays a crucial role in forest management, biodiversity conservation, and ecological monitoring. Light detection and ranging (LiDAR) technology, capturing highly ...
Background: Lumbar spine disorders are among the most prevalent and disabling conditions worldwide. Patient selection for surgery remains highly complex, and the benefits of surgical interventions ...