Results 161 to 170 of about 1,664,459 (226)

Optimizing the Cascade Deep Neural Network Parameters Using an Egret Swarm Optimisation Algorithm: An Application to PID Tuning for the AVR with Shallow Controller. [PDF]

Biomimetics (Basel)
Elhawat M, Altınkaya H.
europepmc   +1 more source

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

AIChE Journal, EarlyView.
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley   +1 more source

A four-module neural architecture for the automatic extraction and classification of causal relations in text. [PDF]

Front Artif Intell
Taberkhan R, Tasbolatuly N, Sambetbayeva M, Tazhibayeva S, Zhumay N, Abdygalym B, Kaldarova M.   +6 more
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

A Morality Based Target Audience Analysis and Quantum Open System Interaction Model for Propaganda. [PDF]

Entropy (Basel)
Canan M.
europepmc   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Beyond Individual Features: Computational Analysis of Linguistic Coordination in Dementia Speech. [PDF]

Brain Sci
Yoorhee V, Moya-Galé G.
europepmc   +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, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Changes in Aperiodic (1/f Slope) Activity During a Picture-Word Interference Task: Effects of Congruency and Sequence Manipulations. [PDF]

Psychophysiology
Tronelli V, Kałamała P, Gratton G, Fabiani M, Gyurkovics M, Low KA, Codispoti M, De Cesarei A.   +7 more
europepmc   +1 more source