Results 171 to 180 of about 1,563,284 (329)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Forecasting Realized Volatility: A Bayesian Model Averaging Approach [PDF]
How to measure and model volatility is an important issue in finance. Recent research uses high frequency intraday data to construct ex post measures of daily volatility. This paper uses a Bayesian model averaging approach to forecast realized volatility.
Chun Liu, John M Maheu
core
Advanced Science, EarlyView.This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source
Combination of theoretical models for exchange rate forecasting
Cuadernos de EconomíaThis paper states that there are exchange rate forecasting gains when combining in-sample data from different models based on economic theory. Data combination is performed using Bayesian model averaging (BMA).
Maria Paula Bonel
doaj +1 more source
Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: evidence from Bayesian model averaging. [PDF]
Sci Rep, 2022 Stojkoski V +4 more
europepmc +1 more source
A large number of functional forms have been suggested in the literature for estimating Lorenz curves that describe the relationship between income and population shares.
Duangkamon Chotikapanich +1 more
core
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
Advanced Science, EarlyView.ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
Exploring the relationship between white matter integrity, cocaine use and GAD polymorphisms using Bayesian Model Averaging. [PDF]
PLoS One, 2021 Alballa T +4 more
europepmc +1 more source
Bayesian Modelling of Catch in a Northwest Atlantic Fishery [PDF]
We model daily catches of fishing boats in the Grand Bank fishing grounds. We use data on catches per species for a number of vessels collected by the European Union in the context of the Northwest Atlantic Fisheries Organization.
Carmen Fernandez +2 more
core
A smart headband for multimodal physiological monitoring in human exercises
Advanced Science, EarlyView.A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu +7 more
wiley +1 more source