Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
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 ...
In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...
Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...
Abstract: This study intends to use a gradient boosting machine to estimate the laser welding quality of copper/glass junctions based on the experimental data. Two output characteristics, such as seam ...
Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
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