Results 141 to 150 of about 79,617 (312)
DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting. [PDF]
PLoS OneSun G, Zhao Y, Li J, Cui J, Qi X.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Reparative "exosome-ark" for mitochondrial transplantation to reprogram macrophages and disrupt pathogenic crosstalk in pulmonary fibrosis. [PDF]
Mater Today BioZhang XY +10 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Higher order asymptotics for the MSE of the sample median on shrinking neighborhoods [PDF]
, 2010 Peter Ruckdeschel
openalex +1 more source
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 +5 more
wiley +1 more source