Results 311 to 320 of about 2,412,239 (354)

Open questions on carbonaceous matter in meteorites. [PDF]

Commun Chem
Christ O, Nestola F, Alvaro M.
europepmc   +1 more source

Glioneuronal tumors PATZ1-fused: clinico-molecular and DNA methylation signatures for a variety of morphological and radiological profiles. [PDF]

Acta Neuropathol Commun
Tauziède-Espariat A, Dangouloff-Ros V, Sievers P, Duchesne M, Siegfried A, Nicaise Y, Boddaert N, Hasty L, Métais A, Ngo C, le Loarer F, Bouvier C, Fontaine A, Rousseau A, Marguet F, Beccaria K, Blauwblomme T, Uro-Coste E, Varlet P, RENOCLIP-LOC.   +19 more
europepmc   +1 more source

IgM⁺IgD^- B cells in human gut-associated lymphoid tissue have memory features and give rise to IgM⁺ and IgA⁺ antibody-secreting cells. [PDF]

Sci Rep
Bukhari AM, Meng W, Rosenfeld AM, Prak ETL, Knight KL.   +4 more
europepmc   +1 more source

CellTune: An integrative software for accurate cell classification in spatial proteomics

Bussi Y, Shainshein D, Ovits E, Posner S, Azulay N, Maimon N, Keidar Haran T, Ben-Uri R, Brown C, Schuldiner N, Yaniv E, Van Valen D, Milo I, Elhanani O, Schiemann R, Keren L.   +15 more
europepmc   +1 more source

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Stellar Classification (Classification Stellaire)

1997
This report rovers research in the field of stellar classification in the period July 1993 to June 1996. It is divided into several sections which were written by experts in each subfield. I want to thank them for their effort and cooperation. To conserve space, all references are given with only one name followed by a + sign if there are additional ...
C. Garmany, Pierre North, R. Bartaya, Michèle Gerbaldi, J. MacConnell, O. H. Levato, D. Egret, R. O. Gray, H. Maehara, M. Grenon, D. W. Kurtz   +10 more
openaire   +3 more sources

Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration

arXiv.org, 2023
In this study, we introduce an innovative Quantum-enhanced Support Vector Machine (QSVM) approach for stellar classification, leveraging the power of quantum computing and GPU acceleration.
Kuan-Cheng Chen, Xiaotian Xu, Henry Makhanov, Hui-Hsuan Chung, Chen-Yu Liu   +4 more
semanticscholar   +1 more source

A Multi-Layer Perceptron (MLP) Neural Networks for Stellar Classification: A Review of Methods and Results

International Journal of Advances in Applied Computational Intelligence, 2023
The remarkable capacity of artificial intelligence (AI) to analyze enormous quantities of information and create precise forecasts has led to its growing prominence in the field of scientific Astrophysics.
A. H. Abdel-aziem, Tamer H. M. Soliman
semanticscholar   +1 more source

Stellar classification with convolutional neural networks and photometric images: a new catalogue of 50 million SDSS stars without spectra

Monthly notices of the Royal Astronomical Society, 2023
Stellar classification is a central topic in astronomical research that relies mostly on the use of spectra. However, with the development of large sky surveys, spectra are becoming increasingly scarce compared to photometric images.
Jinghang Shi, Bo Qiu, A. Luo, Zhendong He, X. Kong, Xia Jiang   +5 more
semanticscholar   +1 more source