These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Abstract: This letter proposes a variational Bayesian sparse decision-feedback equalizer (VB-SDFE) based on the recursive least squares (RLS) algorithm for underwater acoustic communications. The ...
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 ...
The new Instagram feature reveals what the algorithm thinks you like and lets you adjust it, reshaping how content gets recommended on Reels. Instagram launched Your Algorithm in the U.S. today, a ...
ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
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 ...
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 ...
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 ...
ABSTRACT: The rapid prediction of aerodynamic performance is critical in the conceptual and preliminary design of hypersonic vehicles. This study focused on axisymmetric body configurations commonly ...
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