Results 111 to 120 of about 17,882 (265)

A big data association rule mining based approach for energy building behaviour analysis in an IoT environment. [PDF]

Sci Rep, 2023
Dolores M, Fernandez-Basso C, Gómez-Romero J, Martin-Bautista MJ.   +3 more
europepmc   +1 more source

Information Dense and Industry Scalable Accelerated Formation

Advanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker, Markus Blessing, Bojing Zhang, Helge Sören Stein   +3 more
wiley   +1 more source

Exploring dietary behaviors among healthcare providers: based on association rule mining. [PDF]

Front Public Health
Shu T, Xie LX, Yuan ZJ, Fan XQ, Jiang MW, Liu T, Wang JJ, Xie HZ.   +7 more
europepmc   +1 more source

A novel FCTF evaluation and prediction model for food efficacy based on association rule mining. [PDF]

Front Nutr, 2023
Liu Y, Zhang Z, Lin W, Liang H, Lin M, Wang J, Chen L, Yang P, Liu M, Zheng Y.   +9 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Correction: Exploring dietary behaviors among healthcare providers: based on association rule mining. [PDF]

Front Public Health
Frontiers Production Office.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Analysis of sleep patterns among clinical nurses: a latent profile and association rule mining approach. [PDF]

BMC Nurs
Wei N, Hu L, Li J, Chu J.
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Association rule mining of occupational participation among the South Korean elderly by gender. [PDF]

Medicine (Baltimore)
Kwon HI, Choi SY, Jeon BJ, Jang JS.
europepmc   +1 more source