Tag: Bayesian optimization

Researchers combined the Coastal Modelling System with Bayesian optimization and machine learning to predict erosion and sedimentation at Egypt's Kitchener ...

A new architecture-diverse TabNet ensemble classifies seven crop types from harmonized multi-source soil data with 90.5 percent accuracy, outperforming XGBoost ...

A Design-by-Morphing and Bayesian optimization framework explored 5.8 million vertical-axis wind turbine configurations and found a hybrid blade design that ...

A new multi-modal AI method pairs structured text descriptions generated by a large language model with image analysis to identify ...

Every production process is, at its core, a black box. Engineers set parameters such as temperatures, pressures, feed rates, and ...

A first-of-its-kind benchmark from the Technical University of Munich compares algorithms for optimizing industrial robot base placement, finding that an ...

Researchers have developed two open-source optimization methods, GATO and BOBR, that learn optimal histogram bin boundaries directly in multi-dimensional classifier ...

A new review examines how artificial intelligence and machine learning could transform the design of sustainable, non-toxic marine antifouling coatings ...

Researchers have developed X-URL, a character-level deep learning framework that classifies malicious URLs into four threat categories with over 98 ...

Researchers in Switzerland have developed an uncertainty-weighted neural network that incorporates standardized measurement uncertainty into both training and evaluation, improving ...