Results 241 to 250 of about 257,407 (303)
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
From financial lock-in to resilience reconstruction: Climate risk, internal capital markets and organizational resilience of high-carbon enterprises. [PDF]
PLoS OneWang N, Wang F, Li Y, Yuan Y.
europepmc +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Existing soft pumps often require tradeoffs between performance and compatibility with soft robotic systems. The proposed trielectrode electrostatic soft pump addresses these limitations through an innovative driving mechanism. Its design, which includes a trielectrode configuration and the use of compliant materials, improves operational efficiency ...
Yangqiao Lin +10 more
wiley +1 more source
Public health system credibility and corporate financial risk: behavioral channels from China. [PDF]
Front Public HealthZhou C, Tang CH.
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
Advanced Intelligent Systems, EarlyView.This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen +4 more
wiley +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Financial trading decision model based on deep reinforcement learning for smart agricultural management. [PDF]
PeerJ Comput SciFan D, Ab Razak NH, Soh WN.
europepmc +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
Cross-market volatility spillovers between China and the United States: A DCC-EGARCH-t-Copula framework with out-of-sample forecasting. [PDF]
PLoS OneZeng J, Wu J.
europepmc +1 more source