Evolution properties of the knot’s defect by A. Morozov, N. Tselousov

“…Abstract The defect of differential (cyclotomic) expansion for colored HOMFLY-PT polynomials is conjectured to be invariant under any antiparallel evolution and change linearly with the evolution in any parallel direction. …”
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Reconstruction of Composit Oromandibular Defects by Altuğ ALTINKAYA, Şükrü YAZAR, Burak ERTAŞ, Nazım KORKUT, Ömer Faruk ÜNAL

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Twisted holography of defect fusions by Jihwan Oh, Yehao Zhou

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Software Defect Prediction in the Cloud by Cagatay Catal, Merve Erdogan, Cem Isik

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Coagulation defects in thalassemic patients by Mostafa M. Abosdera, Alzahraa E. Almasry, Ehab S. Abdel-Moneim

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Surfaces with defective tangential varieties by Andrey Inshakov

“…Surfaces with <em>h</em>-defective tangential varieties are classified for any <em>h</em>. …”
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Duality defects in E 8 by Ivan M. Burbano, Justin Kulp, Jonas Neuser

“…We illustrate how these defects are systematically obtainable as ℤ2 twists of invariant sub-VOAs, compute defect partition functions for small m, and verify our results against other techniques. …”
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Point defect engineering in germanium by Monmeyran, Corentin

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Targeting defective proteostasis in the collagenopathies by Wong, Madeline Y, Shoulders, Matthew D

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Targeting defective proteostasis in the collagenopathies by Wong, Madeline Y., Shoulders, Matthew D.

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Compensation of germanium by radiation defects. by Kimerling, L. C

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Sensitivity to ground plane defects. by Rogers, Alan E.E.

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Deep learning for defect detection by Low, Edwin Xuan Hao

“…Many current defect detection methods in semiconductor applications are image-based and the Convolutional Autoencoder model has shown its successes in image-based defect detection in other fields. …”
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Deep learning for defect detection by Ho, Juliet Li Chew

“…Deep learning is often used for defect detection through image analysis and pattern recognition. …”
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Defect detection in textured images by Dong, Ziqiang

“…Texture defect detection is an important research area which can find direct applications in industry. …”
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Feature extraction for defect classification by Chen, Gary Yan Hong

“…This research project aims to determine the best method of image classification of the different defect types with high accuracy using Support Vector Machine (SVM) for classification. …”
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An analysis of defect size evolution by Korsunsky, A, Kim, K, Botvina, L

“…The progression of structural material towards failure may be thought of in terms of the evolution of the population of defects that it contains. An important statistical characteristic of the defect population is its size distribution. …”

Defect and adjoint error correction by Giles, M

“…Motivated by applications in aero-acoustics and electromagnetics, this paper discusses the combined use of defect correction to improve the order of accuracy of numerical solutions, and adjoint error correction to improve the order of accuracy of derived output functionals such as far-field boundary integrals. …”

THE MOLECULAR-STRUCTURE OF DEFECTS IN DIAMOND by Baker, J, Newton, M

An analysis of defect size evolution by Korsunsky, A, Kim, K, Botvina, L