What if urban air taxis could, like birds, vary the configuration of their wings in flight? The answer to such questions could soon become reality through morphing wing technology assisted by ...

“I’m working on a Multi-Objective Bayesian Optimization (MOBO) problem involving a system with roughly 60 input parameters and around 30 performance evaluation metrics that we would ideally like to ...

This study uses an artificial neural network (ANN) model to predict the wear rate and friction coefficient of the magnesium alloy AZ91D, based on experimental data from a pin-on-disc tribometer. The ...

A year ago today, a violent storm struck the coast of the sleepy Sicilian fishing village of Porticello. High winds and dramatic thunder and lightning are not unheard of around this time of year in ...

In International Conference on Evolutionary Multi-objective Optimization. DOI: 10.1007/978-981-96-3538-2_9 [arXiv] The paper introduces an acquisition function for finding the Pareto front of a ...

Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...

The multi-purpose floating work barge Hebo Lift 2 monitors the stretch of sea off Porticello, near Palermo, Sicily, Italy, on Sunday, May 4, 2025, where the British superyacht Bayesian sunk on August ...

Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...

Researchers have developed a novel AI-driven framework that designs eco-friendly concrete mixes by balancing strength, cost, and sustainability in real time. Study: Optimizing sustainable blended ...

Sudden, hurricane-force winds toppled the luxury Bayesian superyacht that sank off the coast of Sicily last August, according to an interim report into the disaster, which found the boat had ...