Tag: Bayesian optimization

Researchers have developed a machine learning framework that uses an experimental database of 236 cyclically tested beam-column connections to identify ...

Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and temporal process data to ...

A new decision-aware framework that couples demand prediction, simulation calibration, and robustness verification lifted JD.com's order fulfillment rate to 92.4 ...

Researchers in India report that a Bayesian-optimized decision tree detects black hole attacks in RPL-based IoT networks with 98.71% accuracy, ...

Researchers have developed RNAmotifs 2.0, a computational framework that couples motif discovery with binding and splicing data to identify the ...

An AI framework called AGENT has engineered solid-state mRNA vaccines that retain full bioactivity after two months at 37 degrees ...

MIT researchers used a data-efficient AI framework to discover solid-state mRNA–lipid nanoparticle vaccine formulations that retained full bioactivity after months ...

Researchers combined machine learning-guided optimization with self-assembling protein scaffolds in a cell-free enzyme system to boost liquiritigenin production to 439 ...

Researchers have developed a spectrum-guided, teacher–student AI framework that adapts its time windows to the rhythms of unlabeled system logs ...

A new lightweight deep learning model called BOA-LSTM combines Bayesian optimization and attention mechanisms to deliver faster and more accurate ...