ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

Subjects: “…enhanced magnetic memory detection…”
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A Lightweight Laser Chip Defect Detection Algorithm Based on Improved YOLOv7-Tiny by HU Wei, ZHAO Jumin, LI Dengao

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Defect Detection in Concrete Structures Based on Characteristics of Hammer Reaction Force and Apparent Stiffness of Concrete by Koki Shoda, Jun Younes Louhi Kasahara, Qi An, Atsushi Yamashita

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Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

Subjects: “…Software defect prediction…”
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A transgenic mouse line with a 58 kb fragment deletion shows skeletal defects by Ahmed Alamoudi, Dina Husein, Yoshio Ohyama, Angela Chen, Hanna Mochida, Yoshiyuki Mochida

“…In conclusion, endochondral ossification defects and reduced number of osteoblasts and their precursors led to the bone phenotype in the 58 kb-/-, indicating that the genes deleted in this 58 kb likely play an important role in skeletal development.…”
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Rapid left ventricular dimension normalization following transcatheter ventricular septal defect closure in children by Hui Yuan, Wenjing Zhu, Jianli Lv

Subjects: “…Ventricular septal defect…”
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Surface defect detection on industrial drum rollers: Using enhanced YOLOv8n and structured light for accurate inspection. by Guofeng Qin, Qinkai Zou, Mengyan Li, Yi Deng, Peiwen Mi, Yongjian Zhu, Hao Liu

“…Drum roller surface defect detection is of great research significance for control production quality. …”
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In love with the desert by R. Wheeler

“… The Christian desert tradition is undeniably male-centred. How the absent feminine paradoxically “appears” in stories and sayings of the tradition can, however, provide an antidote to the otherwise male-centred character of this literature. …”
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Defect groups of class S $$ \mathcal{S} $$ theories from the Coulomb branch by Elias Riedel Gårding

“…Abstract We study the global forms of class S A N − 1 $$ \mathcal{S}\left[{A}_{N-1}\right] $$ 4d N $$ \mathcal{N} $$ = 2 theories by deriving their defect groups (charges of line operators up to screening by local operators) from Coulomb branch data. …”
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Topological defects in f(T) theory of gravity by S. P. Hatkar, D. P. Tadas, S. D. Katore

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Defect modeling in semiconductors: the role of first principles simulations and machine learning by Md Habibur Rahman, Arun Mannodi-Kanakkithodi

Subjects: “…defects…”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

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Image-based anomaly detection in low-light industrial environments with feature enhancement by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Son-Anh Bui, Ta Huu Anh Duong, Tuan-Minh Huynh, Duc-Manh Nguyen, Viet-Anh Trinh, Quang-Huy Ha, Nguyen Dinh Bao Long, Duc-Thanh Tran, Xuan-Tung Dinh, Van-Hiep Duong, Tran Thi Thuy Trang

Subjects: “…Industrial anomaly detection…”
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Johan Elfström, Reconceiving Public Reason: Neutrality, Civility, and the Self-Defeat Objection by Dan-Erik Andersson

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Enhanced image processing and storage for defect evaluation in BIM of inspected steel bridges by Dogan Karluklu, Cecilia Rinaldi, Marianna Crognale, Lucia Figuli, Vincenzo Gattulli

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Dual functional hydrogel of osteoclastic-inhibition and osteogenic-stimulation for osteoporotic bone defect regeneration by Lei Yu, Wentao Wang, Chang Lv, Qian Chen, Peng Yang, Zhenrong Qi, Haomiao Yu, Ruiqi Cao, Wenhao Li, Yi Qin, Gaoran Ge, Peilai Liu, Lixin Zhu, Houyi Sun, Dechun Geng, Liang Zhang

“…Despite the development of various polymer scaffolds for bone defect repair, achieving effective regeneration in osteoporotic bones—especially when combined with osteoporosis medications—remains difficult. …”
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Bootstrapping line defects in AdS3/CFT2 by Gabriel Bliard, Diego H. Correa, Martín Lagares, Ignacio Salazar Landea

“…Abstract We study correlators of insertions along 1/2 BPS line defects in the holographic dual to type IIB string theory in AdS 3 × S 3 × T 4 with mixed Ramond-Ramond and Neveu Schwarz-Neveu Schwarz three-form flux. …”
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Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

“…Deep learning is a promising method to achieve automatic wood defects detection which is indispensable for wood production; however, such a technique faces challenges caused by poor generalization ability and low recognition accuracy on light defects. …”
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