Results 101 to 110 of about 16,254 (263)

Association Rules Mining with Auto-encoders

Association rule mining is one of the most studied research fields of data mining, with applications ranging from grocery basket problems to explainable classification systems. Classical association rule mining algorithms have several limitations, especially with regards to their high execution times and number of rules produced.
Théophile Berteloot, Richard Khoury, Audrey Durand   +2 more
openaire   +2 more sources

Phase Fraction Modulation Enhances Li+/Na+ Diffusion Disparity in Spent LiFePO4 Cathodes for Efficient Lithium Extraction from Brine

Advanced Science, EarlyView.
A direct cascaded utilization strategy for spent LiFePO4 batteries efficiently extracts lithium from brine, embodying the “urban mining” concept. Phase fraction modulation revealed its significant impact on local bond lengths of crystal structure and the Li/Na diffusion energy barrier, identifying the best material (Li0.19FePO4) for lithium extraction.
Ruiqi Yin, Qihan Huang, Jiayu Hao, Guosheng Li, Guoxing Ren, Dongfu Liu, Zhongwei Zhao, Wenhua Xu   +7 more
wiley   +1 more source

Spatially Selective Solvation Chemistry by Local Charge Enrichment for Stable Potassium‐Metal Anodes

Advanced Science, EarlyView.
A MoC/NC functional intermediate medium preferentially interacts with KFSI to reconstruct the interfacial solvation structure and form a KF‐rich inorganic SEI. The synergistic integration of the electronically insulating SEI and MoC/NC suppresses electron tunneling, enables fast and balanced K+/electron transport, and promotes uniform K deposition for ...
Lu‐Kang Zhao, Xi‐Ran Zhao, Zhimin Ding, Yu‐Hua Bian, Xuan‐Chen Wang, Dongdong Zhao, Yizhuo Zhao, Xuan‐Wen Gao, Zhaomeng Liu, Wen‐Bin Luo   +9 more
wiley   +1 more source

Environmental Insights and Sustainability Opportunities for Scaled‐Up MXene Production Without Etching

Advanced Science, EarlyView.
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang, Peng Peng, Maoqiao Xiang, Fen Yue, Jiangyan Wang, Wenwei Liu, Qingshan Zhu   +6 more
wiley   +1 more source

Information Reconstruction of Student Management Work Based on Association Rules Mining.

Comput Intell Neurosci, 2022
Xiang Y, Shuai C, Li Y, Zhang Y.
europepmc   +1 more source

Discovering spatial interaction patterns of near repeat crime by spatial association rules mining. [PDF]

Sci Rep, 2020
He Z, Tao L, Xie Z, Xu C.
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

A New Customizable Surfactant LLPS Strategy for Sustainable and Highly Efficient Radioactive Metal Ion Separation

Advanced Science, EarlyView.
A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan, Yifu Hu, Wentao Wang, Zhi Cao, Meiwen Cao, Weifang Zheng, Guoan Ye, Taihong Yan   +7 more
wiley   +1 more source

Mining association rules in interval-based temporal sequences

Tongxin xuebao, 2009
A new algorithm was proposed to find association rules in interval-based sequences, which was based on the concept of interval time series and used the properties of frequent closed patterns.
ZHU Tian1, BAI Shi-xue2, WANG Bai1, WU Bin1   +3 more
doaj   +2 more sources

Natural Resistance to Ovarian Hyperstimulation Syndrome in Estrildid Finches Reveals Macrophage GPR183 as a Potential Therapeutic Target

Advanced Science, EarlyView.
Ovarian macrophage depletion reverses OHSS resistance in estrildid finches and exacerbates OHSS symptoms in rats. Activating macrophage GPR183 alleviates OHSS by reducing pro‐inflammatory factors, increasing immunomodulatory molecules, remodeling CD44/SDC4‐mediated communication, and restoring immune homeostasis.
Xiaofei Yan, Yongjie Huang, Jiabao Yang, Su Ma, Songsong Liu, Xuan Huang, Juergen Brosius, Huaping Zheng, Bing Yao, Li Chen, Shanshan Lai, Cheng Deng   +11 more
wiley   +1 more source