A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

State Grid Jiangsu Electric Power Co., Ltd., Yancheng Dafeng District Power Supply Branch, Yancheng, China Improving the accuracy of state evaluation for Zinc Oxide (ZnO) surge arresters is essential ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...