Results 181 to 190 of about 866,547 (282)
This deliverable will describe clustering algorithms for scholarly content, their implementation and performance and will report on the ...
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A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
Insight into the influence of various cultivation regions on the identification of metabolites from Capsella bursa-pastoris via a clustering algorithm. [PDF]
Lee IY, Lee DH, Lee MJ, Park JH, Joo N.
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Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
Colour segmentation of printed fabrics by integrating adaptive neural network and density peak clustering algorithm. [PDF]
Meng N.
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Hybrid K-means clustering algorithm
From the past up to the present size of the data is rapidly increasing day by day. Growing dimensions of this data can be held in databases is seen as a disadvantage. Companies have seen this information in databases as an excellent resource for increasing profitability.
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This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
PAM clustering algorithm based on mutual information matrix for ATR-FTIR spectral feature selection and disease diagnosis. [PDF]
Condino F, Crocco MC, Guzzi R.
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Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar +5 more
wiley +1 more source
A clustering algorithm based on grids for core data and adjacency relationships for edge data. [PDF]
He H.
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