Results 121 to 130 of about 2,974 (234)

Finding the needle in the haystack-An interpretable sequential pattern mining method for classification problems. [PDF]

Front Big Data
Grote A, Hariharan A, Weinhardt C.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

An Operational Status Assessment Model for SF₆ High-Voltage Circuit Breakers Based on IAR-BTR. [PDF]

Sensors (Basel)
Wang N, Wang Y, Zhang Y, Tang C, Sun C.
europepmc   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Understanding the ancient classic and famous prescriptions <i>via</i> the property of Chinese materia medica. [PDF]

Front Pharmacol
Qin D, Zhang H, Du B, Wang H, Liu L, Wang Y.   +5 more
europepmc   +1 more source

Beyond Online Association Rules: Governing Semantic Drift in Numerical Stream Mining

  This preprint proposes a governance-oriented reframing of online numerical association rule mining. While existing approaches have achieved substantial progress in efficiency, incremental updating, and metric optimization, they typically assume semantic stability and equate statistical persistence with epistemic validity.
openaire   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

NMR-based metabolomics in a clinical cohort: deciphering the metabolic characteristics of gout with the dampness-heat syndrome and elucidate the efficacy of Simiao Pill. [PDF]

Chin Med
Hu Y, Yang L, Yan G, Sun Y, Wang M, Kong L, Sun H, Zhao X, Zhang X, Huang R, Liu C, Han Y, Wang X.   +12 more
europepmc   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Research on parameter selection and optimization of C4.5 algorithm based on algorithm applicability knowledge base. [PDF]

Sci Rep
Zhang Y, Xin Y, Li Q.
europepmc   +1 more source