Results 191 to 200 of about 589,029 (277)
A comparative analysis of clustering algorithms to identify the homogeneous rainfall gauge stations of Bangladesh. [PDF]
Alam MS, Paul S.
europepmc +1 more source
Hybrid magnetic microdiscs with customizable size and composition are engineered through refined photolithography and LbL assembly. Embedded Fe3O4 nanoparticles enable localized, non‐cytotoxic heating, while protein cargos can be incorporated in tunable quantities.
Daniela Iglesias‐Rojas +13 more
wiley +1 more source
Correction: Maillard et al. Assessing Search and Unsupervised Clustering Algorithms in Nested Sampling. Entropy 2023, 25, 347. [PDF]
Maillard L, Finocchi F, Trassinelli M.
europepmc +1 more source
The Comparison of Clustering Algorithms K-Means and Fuzzy C-Means for Segmentation Retinal Blood Vessels. [PDF]
Wiharto W, Suryani E.
europepmc +1 more source
In this report, we demonstrate that a crystalline phase of 52nm thick NiFe2O4 can be grown by RF sputtering on top of γ‐Al2O3(8nm)/SrTiO3 at a significantly low temperature (150 °C) without compromising the mobility and carrier density of the 2D electron gas at the γ‐Al2O3(8nm)/SrTiO3 interface.
Amit Chanda +11 more
wiley +1 more source
This deliverable will describe clustering algorithms for scholarly content, their implementation and performance and will report on the ...
openaire +1 more source
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
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
A robustness metric for biological data clustering algorithms. [PDF]
Lu Y, Phillips CA, Langston MA.
europepmc +1 more source
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.
openaire +2 more sources

