Results 271 to 278 of about 2,595,863 (278)
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Acoustic Phonon Anomaly in Mixed‐Valent TmSe

physica status solidi (b), 1983
AbstractThe excitation spectrum of mixed‐valent TmSe is investiagted in terms of the Sherrington‐Riseborough model. The numerical calculations reproduce the anomalous feature of the acoustic phonon band, provided that the d‐f electronic excitation energy is comparable to the energy of the LA phonon.
S. Ichinose, I. Tamura
openaire   +2 more sources

[Occlusal anomalies in the deciduous and mixed bites].

Stomatologiia, 1998
In 311 examinees (177 boys and 134 girls) with primary dentition and 535 examinees (285 boys and 250 girls) with mixed dentition in Istria--Croatia, the frequency of orthodontic and occlusal anomalies in regard of space plane and premature extraction of c, m1 and m2 are investigated.
M, Legovic, L, Mady
openaire   +2 more sources

Anomalies in the Infrared Spectra of Mixed Carbonate Precipitates

Applied Spectroscopy, 1968
When a mixture of cations in solution is precipitated by the addition of carbonate, the resulting mixed carbonate precipitate, when subjected to infrared examination, does not usually exhibit the individually characteristic absorption bands due to each of the carbonates constituting the mixture.
Eugene A. Berg   +2 more
openaire   +2 more sources

Stirring and mixing of thermohaline anomalies

Journal of Marine Research, 1986
J. G. Harvey   +2 more
openaire   +2 more sources

Discovering Bitcoin Mixing Using Anomaly Detection

2018
Bitcoin is a peer-to-peer electronic currency system which has increased in popularity in recent years, having a market capitalization of billions of dollars. Due to the alleged anonymity of the Bitcoin ecosystem, it has attracted the attention of criminals.
Mario Alfonso Prado-Romero   +2 more
openaire   +2 more sources

Contrastive Attributed Network Anomaly Detection with Data Augmentation

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2022
Zhiming Xu   +4 more
semanticscholar   +1 more source

Pattern-Based Anomaly Detection in Mixed-Type Time Series

ECML/PKDD, 2019
Len Feremans   +4 more
semanticscholar   +1 more source

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