Investigating the predictive power of seismic statistical features using ensemble learning. [PDF]
PLoS OneQuan W, Gorse D.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Ensemble learning for predicting birth trauma using high-dimensional data in the neonatal intensive care unit. [PDF]
Sci RepOdhiambo CO +3 more
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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
Applicability analysis of tree-based ensemble learning for air pollutant prediction models. [PDF]
Sci RepZhu X, Li B, Cao Y, Zhang Q.
europepmc +1 more source
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 +4 more
wiley +1 more source
Soil Moisture Inversion in Alfalfa via UAV with Feature Fusion and Ensemble Learning. [PDF]
Plants (Basel)Chen J +12 more
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Data-driven prediction of lipophilic drug solubility in supercritical CO<sub>2</sub> using an adaptive ensemble learning architecture. [PDF]
Front Med (Lausanne)Alqahtani AS, Pishnamazi M.
europepmc +1 more source
Configurable Modular EEG Classification Framework with Multiscale Features and Ensemble Learning: A Reproducible Evaluation for Schizophrenia Detection. [PDF]
Bioengineering (Basel)Han X, Emara Y, Zhang A, Lin Y, Zhang Y.
europepmc +1 more source