Results 211 to 220 of about 15,187 (268)

Pixel level anomaly detection in second harmonic generation microscopy for non destructive defect inspection of AlGaN/GaN heterostructures. [PDF]

Discov Nano
Kang CF, Hung CC, Huang CH, Li TC, Uen WY, Chiu CH.   +5 more
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Anomaly Detection based on Thermal Imaging

, 2020
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Structural transition and thermal anomaly in LiTlSO_4

Structural transition and thermal anomaly in LiTlSO_4
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Thermal anomalies in stressed teflon

Thermochimica Acta, 1972
In the course of testing polytetrafluoroethylene (Teflon) as a calorimetric gasketing material, serendipity revealed a thermal anomaly in stressed film that occurs concomitantly with the well-documented 25 C transition. The magnitude of the excess energy absorption - about 35 cal/g - is suggested to be related to the restricted thermal expansion of ...
Susan H. Lee, Claus A. Wulff
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Thermal expansion anomalies in dysprosium

Journal of Physics F: Metal Physics, 1984
The temperature dependence of the thermal expansion coefficient along the hexagonal c axis of single-crystal dysprosium has been investigated in the vicinity of the phase transitions and near the temperatures where the periodicity of the helix spin structure is commensurate with that of the crystal lattice.
E B Amitin, V G Bessergenev, Yu A Kovalevskaya   +2 more
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Lunar Thermal Anomalies: Infrared Observations

Science, 1969
The lunar craters Tycho, Copernicus, and Aristarchus have been observed during lunar night at wavelengths between 3 and 14 microns. After an initial fast decrease to a color temperature of 220°K, the temperature remains nearly constant through the lunar night. The data suggest that these thermal anomalies (craters) contain hot and cold regions with the
D A, Allen, E P, Ney
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Himawari Thermal Anomaly Scrutiny with Deep Learning

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
In the presented article, machine learning (ML) is employed on advanced Himawari imager (AHI) to examine real-time fire and map damaged zone over Yunnan, China. The main emphasis lies in employing machine learning as an alternative to primeval thresholding, extricating, and scrutinizing thermal anomaly using infrared (IR).
Qurratulain Safder, Haoyu Zhang, Mingcang Zhu, Fangrong Zhou, Yong He 0007, Lifeng Liu, Zezhong Zheng, Zhongnian Li, Zhiyong Wang, Mingqi Li, Ling Jiang, Qiang Liu 0009, Xuemei Li   +12 more
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Thermal expansion anomalies in REBa2Cu3O7 −

Physica B: Condensed Matter, 1996
Abstract Results of theoretical and experimental study of the contribution of 4f electrons to the coefficient of linear thermal expansion α m ( T ) for orthorhombic REBa 2 Cu 3 O 7 − δ are presented. Theoretically, α m ( T ) is treated in terms of the electric quadrupole moments of the 4f shell of the RE 3+ ions induced by the crystal field ...
M. Diviš, J. Hejtmánek, J. Kamarád, V. Nekvasil   +3 more
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