Markets may stay strong short-term, but 2025 gains could slow to 6–7% amid rising tariffs, debt, and historical trends. Find ...

This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and demand (MW).

This important study introduces a Bayesian method to determine bacterial counts that accounts for the experimental noise inherent to dilution and plating methods, and distinguishes it from biological ...

Localized statistical channel modeling (LSCM) is an efficient channel modeling framework recently proposed for wireless network optimization which learns the angular power spectrum (APS) of the ...

INNOptimizer is using latest Bayesian Optimization algorithms and a broad set of analytical tools to guide optimizations with ...

Also in May, an investigation led by the UK's Marine Accident Investigation Branch (MAIB) found that gusts of over 73mph hitting the side of the Bayesian would "likely result" in its capsize. The MAIB ...