Results 191 to 200 of about 3,437,889 (360)
The Challenge of Handling Structured Missingness in Integrated Data Sources
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 +6 more
wiley +1 more source
Construction of a predictive model for self realization and career satisfaction of university teachers based on text mining. [PDF]
Fang Y, Chen M, Shi J.
europepmc +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Application of text mining and causal analysis for risk identification in air traffic control safety operations. [PDF]
Wang Z, Wang Y, Shi Z, Zhang H, Liu X.
europepmc +1 more source
The Effect of Expert Reviews on Consumer Product Evaluations: A Text Mining Approach
Taeyoung Kang, Do-Hyung Park
openalex +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
From Prediction to Prevention: Using Text Mining and Explainable Machine Learning for Urban Bus Accident Analytics. [PDF]
Chen B, Huang Y, Zheng Y, Liu X.
europepmc +1 more source
Construction of biological networks for Korean medical herb using the text-mining system
Seok Jong Yu +4 more
openalex +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source

