IEEE

A Global Multi-Objective Bayesian Optimization Framework for Generic Machine Design Using Gaussian Process Regression

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...
SiliconANGLE

Beyond SEO: How AI engine optimization is changing the equation in online visibility

The search engine optimization discipline that has guided web marketing efforts for more than two decades is now being disrupted by generative artificial intelligence systems that deliver direct ...
Frontiers

A hierarchical optimization model for off-peak battery swapping scheduling of electric trucks in open-pit mines

Hunan Provincial Higher Education Institutions Key Laboratory of Small and Micro Intelligent Agricultural Machinery Equipment and Application, Hunan Engineering Research Center for Smart Agriculture ...
Frontiers

A total organic carbon prediction algorithm for heterogeneous shale based on interpretable neural network: a case study of Qiongzhusi Formation shale in the Sichuan Basin

Total Organic Carbon (TOC) is a fundamental parameter for evaluating source rock quality, yet the strong heterogeneity of the Qiongzhusi Formation shale reservoir in the Sichuan Basin severely limits ...
IEEE

Ordinary Differential Equation Identification Based on Sparse Bayesian Learning and Collaborative Neurodynamic Optimization

Abstract: Sparse Bayesian learning based on collaborative neurodynamic optimization (CNO-SBL) is a novel neural network approach proposed recently for sparse regression. In this paper, we demonstrate ...
Law

Bayesian One Year On: The Superyacht Disaster That Has Sparked Multiple Lawsuits

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 ...
CNN

Sunken Bayesian superyacht lifted partially out of water in salvage operation

Ten months after the luxury superyacht Bayesian sank off the coast of Sicily in a sudden storm, salvage crews managed to lift it 50 meters (164 feet) from the seabed on Friday afternoon, the company ...
CNN

Inside the Bayesian’s final moments: extreme winds sank superyacht, interim report finds

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 ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Wired

5 Physics Equations Everyone Should Know

All the tech we rely on, from cars to smartphones, was engineered using physics. You don’t need to know the science to use these things. But a well-rounded human should understand at least some of the ...
marktechpost

Embed-then-Regress: A Versatile Machine Learning Approach for Bayesian Optimization Using String-Based In-Context Regression

Bayesian Optimization, widely used in experimental design and black-box optimization, traditionally relies on regression models for predicting the performance of solutions within fixed search spaces.
science.psu

Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling

Numerical optimization plays a vital role in the design of complex engineered systems. Real world engineered systems are seldom designed based on a single objective; rather they involve multiple ...