Abstract: When gradient information is available, multi-objective Bayesian optimization (MOBO) algorithm using gradient-enhanced Gaussian process (GradGP) models has been proven to be an efficient ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.

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 ...

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 ...

1 Department of Mechanical and Process Engineering (D-MAVT), Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland 2 CREATE Lab, École Polytechnique Fédérale de Lausanne (EPFL), ...

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 ...

The many stages of a bioprocess offer endless opportunities for optimization. Improving a process starts with process design (PD) and never really ends. In late 2024, Jun Luo, PhD, Genentech’s head of ...

Experimental variogram modelling is an essential process in geostatistics. The use of artificial intelligence (AI) is a new and advanced way of automating experimental variogram modelling. One part of ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Organic semiconductors have been widely studied owing to their potential applications ...

Abstract: LiDAR-guided stereo matching for high-precision disparity estimation is a very promising task in photogrammetry and remote sensing. Unfortunately, existing methods suffer from the problem ...