Results 221 to 230 of about 726,143 (311)

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

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, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

AI big model and text mining-driven framework for urban greening policy analysis. [PDF]

Sci Rep
Li L, Yang X, Liu S, Deng F.
europepmc   +1 more source

Applications of string mining techniques in text analysis

, 2012
Horațiu Mocian
openalex   +1 more source

Graph Theoretic Lattice Mining Based on Formal Concept Analysis (FCA) Theory for Text Mining

, 2017
Hasni Hassan, Noraida Haji Ali, Aznida Hayati Zakaria, Mohd Isa Awang, Abd Rasid Mamat   +4 more
openalex   +2 more sources

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Study on subtyping and Traditional Chinese Medicine treatment of depression based on machine learning and text mining. [PDF]

J Tradit Chin Med
Mengyue F, Lin Y, Guoqing Z, Ruixue W, Kexin C, Yujing F, Ziming W, Jia FU, Yongjun C, Taiyi W.   +9 more
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

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

What Does Text Mining of Reddit Forums Reveal About Factors Surrounding Mental Health in Singapore?

J Med Internet Res
Alba C, Ang ABH, Abbasian V, Chung G.
europepmc   +1 more source

Repurposing Antidiabetic Drugs for Gangrene: A Mendelian Randomization and Text Mining Study. [PDF]

Int J Med Sci
Wang C, Wang H, Feng T, Hu Y, Liang F.
europepmc   +1 more source