Results 151 to 160 of about 88,517 (260)

Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking. [PDF]

Comput Math Methods Med, 2021
Alameri M, Hasikin K, Kadri NA, Nasir NFM, Mohandas P, Anni JS, Azizan MM.   +6 more
europepmc   +1 more source

Phase Boundary Engineering of Co2P‐CoP Branched Nanoparticles Enhances Cobalt Oxidation for Oxygen Evolution Electrocatalysis

Advanced Materials, EarlyView.
Phase boundaries between Co2P and CoP are constructed through a controlled transformation of Co to Co2P‐CoP branched nanoparticles. The polycrystalline mixed‐phase Co2P‐CoP branches are enriched with phase boundaries that stabilize Co active sites for OER. This work highlights phase boundary engineering as a powerful approach to tailor active sites and
Zeno R. Ramadhan, Soshan Cheong, Sankhadip Saha, Qinyu Li, Xiaoran Zheng, Samuel V. Somerville, Agus R. Poerwoprajitno, Priyank V. Kumar, Liming Dai, J. Justin Gooding, Richard D. Tilley   +10 more
wiley   +1 more source

scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data. [PDF]

BMC Bioinformatics
Xie Q, Meng W, Lin S.
europepmc   +1 more source

Performance of the StaphGold ELISA test in determining subclinical Staphylococcus aureus infections in dairy cows using a Gaussian mixture model. [PDF]

Vet Med Sci, 2022
Yang DA, Laven RA.
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Deciphering individual triticale grain weight patterns: A gaussian mixture model approach. [PDF]

PLoS One
Kim BH, Kwon H, Kim W.
europepmc   +1 more source

Stabilizing the phase of swept-source optical coherence tomography by a wrapped Gaussian mixture model. [PDF]

Opt Lett, 2021
Wei S, Kang JU.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects. [PDF]

Sci Rep
Huang JZ, Yang J, Li DS, Kong WC, Wang YF.   +4 more
europepmc   +1 more source

Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection. [PDF]

Sensors (Basel), 2021
Maliuk AS, Prosvirin AE, Ahmad Z, Kim CH, Kim JM.   +4 more
europepmc   +1 more source