WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...
Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...
ABSTRACT: Alpine and subalpine belts on continental Europe can be viewed as “islands” of cold-adapted vegetation surrounded by a “sea” of thermophilic species. Carex curvula, a flagship species that ...
Abstract: We provide an algorithm for the simultaneous system identification and model predictive control of nonlinear systems. The algorithm has finite-time near-optimality guarantees and ...
Introduction: The development of robust predictive models for high-grade cytokine release syndrome (CRS) in CAR-T recipients remains limited by sparse clinical trial data. Methods: We analyzed of 496 ...
AI-driven predictive technology is reshaping warehouse safety. From smart cameras and sensors to wearables and VR training, new tools are helping managers detect risks early, prevent injuries, and ...
Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
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