Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...
Accurate sunlight data is becoming essential for the clean-energy transition, but tracking how much solar radiation reaches ...
Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
Sepsis, a life-threatening and costly condition, necessitates early detection for effective management. However, diagnostic and therapeutic delays are common. Furthermore, sepsis complexity and ...
A group of tech executives, app developers and Silicon Valley philosophers is seeking to streamline the messy matters of the heart. Cuddle puddles at the Love Symposium, a conference in San Francisco ...
Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
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