Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this paper, we introduce a methodology to improve upon the ...

Abstract: This paper reviews representative non-Bayesian and Bayesian cooperative localization algorithms and evaluates their performance in high, medium, and low-density networks with nodes ...

This blog post and audio file is another in the series "Defending the Algorithm™" written and edited by Pittsburgh, Pennsylvania Business, IP and AI Trial Lawyer Henry M. Sneath, Esq. and was authored ...

Department of Intelligent Energy and Industry, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea Department of Intelligent Energy and Industry, Chung-Ang University, 84 ...

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...

At last week’s Leti Innovation Days (LID) 2025 event in Grenoble, power consumption was on everyone’s mind. Lèquepeys also pointed to upcoming applications of Bayesian algorithms and neuromorphic ...