Results 181 to 190 of about 293,301 (286)

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

How Accurate Is Multiple Imputation for Nutrient Intake Estimation? Insights from ASA24 Data. [PDF]

Nutrients
Woods N, Gilliland J, McEachern LW, O'Connor C, Stranges S, Doherty S, Seabrook JA.   +6 more
europepmc   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

G-formula with multiple imputation for causal inference with incomplete data. [PDF]

Stat Methods Med Res
Bartlett JW, Olarte Parra C, Granger E, Keogh RH, van Zwet EW, Daniel RM.   +5 more
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

Handling missing outcomes in time-to-event analyses in randomised controlled trials: a scoping review with a focus on multiple imputation. [PDF]

BMC Med Res Methodol
Karuppasamy S, Premkumar PS, Mohan VR.
europepmc   +1 more source

Food inflation pass‐through from agricultural imports in a small open economy

American Journal of Agricultural Economics, EarlyView.
Abstract This paper develops a new framework for quantifying cost pass‐through in a small open economy by estimating firm‐level markup responses to agricultural import price shocks. We show theoretically that markup adjustments depend on firms' reliance on imported inputs and demand curvature, generating heterogeneous inflationary effects across firm ...
Minseong Kang, Seungki Lee
wiley   +1 more source

Analyses using multiple imputation need to consider missing data in auxiliary variables. [PDF]

Am J Epidemiol
Madley-Dowd P, Curnow E, Hughes RA, Cornish RP, Tilling K, Heron J.   +5 more
europepmc   +1 more source

Neighborhood social environments and mental health among youth and adults in public housing

American Journal of Community Psychology, EarlyView.
Abstract Neighborhoods influence health in part through social processes. However, little is known about how multiple neighborhood social processes co‐occur, or about within (vs. between) neighborhood variation in social processes and health. This study asked how residents of a large public housing development describe their neighborhood and used ...
Jane Leer, Lindsay Lanteri, Rebekah Levine Coley, Samantha Teixeira   +3 more
wiley   +1 more source