Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
As of April 2025, third-party model portfolios hit a record $7.96 trillion in AUM, reflecting a dramatic advisor shift toward scalable efficiency and deeper client engagement. Despite early resistance ...
Abstract: Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in ...
Abstract: Various machine learning algorithms exist, each maintaining different assumptions about the underlying data or the function they aim to approximate. One such class of algorithms include tree ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
Hypothyroidism, a common endocrine disorder, has a high incidence in women and increases with age. Levothyroxine (LT4) is the standard therapy; however, achieving clinical and biochemical euthyroidism ...