The distally-based island ulnar artery perforator flap for wrist defects by Karki Durga, Singh A

“…We evaluated the use of a distally-based island ulnar artery perforator flap in patients with volar soft tissue defects around the wrist. …”
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Local Flaps for Reconstruction of Retromolar Trigone Defects: A Literature Review by G Abhishek Iyer, V Raj Kumar, Priya Yadav, Narasimha HP Murthy, Sohini Gupta

“…In the pursuit of restoring the RMT, small and medium-sized defects can benefit from local flaps such as the Buccinator flap, Masseter flap, Facial Artery Myomuscular Flap (FAMM), tongue flap, palatal flap, and Buccal Fat Pad (BFP) or Bichat’s flap. …”
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A Novel Involution-Based Lightweight Network for Fabric Defect Detection by Zhenxia Ke, Lingjie Yu, Chao Zhi, Tao Xue, Yuming Zhang

“…The detection performance is evaluated by Params, floating-point operations per second (FLOPs), and average precision (AP) in the collected dataset containing 6308 defective fabric images. …”
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Semiconductor Wafer Defect Recognition Based on Improved Coordinate Attention Mechanism by Hao He, Yuanjie Wei, Xionghao Lin, Minmin Zhu, Haizhong Zhang

“…In this study, we introduce a new deep learning model called the Deep Attention Pyramid Network (DAP-Net), which is based on depth-wise separable convolution and combines an improved coordinate attention mechanism with a multi-scale convolution structure to identify single and mixed types of wafer defects. Our model achieved an impressive recognition accuracy of 98.6% when evaluated on a mixed-type defect dataset (Mixed38WM), surpassing the performance of most previously reported deep learning models.…”
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Digital Twins for Defect Detection in FDM 3D Printing Process by Chao Xu, Shengbin Lu, Yulin Zhang, Lu Zhang, Zhengyi Song, Huili Liu, Qingping Liu, Luquan Ren

“…By comparing the DT model of the printed object with its three-dimensional model, defect detection of the printed parts was achieved, where the quality of the printed parts was evaluated using a defect percentage index. …”
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PEYOLO a perception efficient network for multiscale surface defects detection by Xun Li, Yuzhen Zhao, Xiangke Jiao, Qingzhe Meng, Zhun Guo, Ruijuan Yao, Yaqiao Yang, Baoxi Yuan

“…The proposed method is evaluated on three public steel defect datasets: NEU-DET, GC10-DET, and Severstal. …”
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AI-based defect detection and self-healing in metal additive manufacturing by Jan Akmal, Kevin Minet-Lallemand, Jukka Kuva, Tatu Syvänen, Pilvi Ylander, Tuomas Puttonen, Roy Björkstrand, Jouni Partanen, Olli Nyrhilä, Mika Salmi

“…This pilot study develops a process to evaluate in-situ defect detection and self-healing in Ti-6Al-4V fabricated using laser-based powder bed fusion. …”
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Siamese network with change awareness for surface defect segmentation in complex backgrounds by Biyuan Liu, Sijie Luo, Huiyao Zhan, Yicheng Zhou, Zhou Huang, Huaixin Chen

“…Abstract Despite the significant advancements made by deep visual networks in detecting surface defects at a regional level, the challenge of achieving high-quality pixel-wise defect detection persists due to the varied appearances of defects and the limited availability of data. …”
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ESfix: An Embedded Program Repair Tool for Effective Removal of Concurrency Defects by Jingwen Zhao, Yanxia Wu, Yan Fu, Shuyong Liu

“…ESfix first utilizes the bug information reported by the defect detection tool to locate the repair region and extracts the node information corresponding to the defective code. …”
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Large Spontaneous Right Catamenial Pneumothorax with Diaphragmatic Defect and Liver Herniation by Venkata Kishore Mukku, Emily Cassidy, Catalina Negulescu, Tonya Jagneaux, John Godke

“…Follow up computed tomography scan of the chest showed a 33 mm diaphragmatic defect with 5.8 x 4.6 x 3.9 cm area of herniated liver corresponding to the presumed pleural mass. …”
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Low-level laser therapy for the regeneration of mandibular bone defects in rabbits by Ali Peimani, Maryam Irannezhad, Salim Kiani, Moein Arman, Morteza Khademalhosseini

“…The control side revealed no significant changes in the evaluated parameters over time (P>0.05).Conclusions: Low-level laser irradiation may accelerate the regeneration of mandibular bone defects in rabbits.…”
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Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection by Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang

“…Although the Faster Region-based Convolutional Neural Network (Faster R-CNN) model has obvious advantages in defect recognition, it still cannot overcome challenging problems, such as time-consuming, small targets, irregular shapes, and strong noise interference in bridge defect detection. …”
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Detection of sugar beet seed coating defects via deep learning by Abdullah Beyaz, Zülfi Saripinar

“…For this reason, the goal of this work is to categorize coated sugar beet seeds based on coating defects using the YOLO (You Only Look Once) algorithm. …”
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Reconstruction of midface defects after surgical treatment of skull base tumors by I. Yu. Belov, N. A. Primak, N. K. Samochernykh, K. A. Chizhova, I. A. Kurnosov, S. Ya. Chebotarev, D. A. Gulyaev

“…To perform a retrospective analysis of the results of surgical treatment of patients with anatomically widespread malignant skull base tumors and evaluate the possibility of using various types of closure of skull base defects.   …”
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Defect Recognition: Applying Time-Lapse GPR Measurements and Numerical Approaches by Enas Abdelsamei, Diaa Sheishah, Mohamed Aldeep, Csaba Tóth, György Sipos

“…This study also sought to evaluate the effectiveness of this approach for road assessment and to employ forward modeling for a deeper understanding of road defects and their associated hazards. …”
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Comparison of Osteoinductive Potential of Autografts vs. Allografts in Mandibular Defect Models by Pratap Movaniya, Ritu Chhatbar, Sumit Bhatt, Ngangbam Johnson Sing, Ashtha Arya, Hiral Parmar

“…Bone grafts were prepared and placed in the defects. Osteoinductive potential was evaluated over 8 weeks using radiographic analysis, histomorphometric assessment, and quantification of bone formation markers, such as osteocalcin and alkaline phosphatase. …”
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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

“…SHAP analysis reveals that the factors influencing the residual strength of defective pipelines, ranked in descending order of importance, are defect depth (<i>d</i>), wall thickness (<i>t</i>), yield strength (<i>σ_y</i>), external diameter (<i>D</i>), defect length (<i>L</i>), tensile strength (<i>σ_u</i>), and defect width (<i>w</i>). …”
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Experience of using a supraclavicular flap in reconstruction of oral cavity defects by M. T. Berdigylyjov, I. A. Zaderenko, M. A. Kropotov, S. B. Aliyeva, D. K. Stelmakh, V. Z. Dobrokhotova, G. Sh. Berdigylyjova

“…The supraclavicular fasciocutaneous flap, being a regional flap, has a number of advantages: easy to harvest, reliable due to the constancy of the vascular pedicle, primary closure of the donor site, scarcity of hair, the possibility of closing various defects of the oral cavity. Aim. To evaluate the possibility of using a supraclavicular flap in patients with oral cancer to restore the defects after surgical treatment.Materials and methods. …”
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A Field Calibration Method for UHF Partial Discharge On-line Monitoring System Based on Cross-check Algorithm by Nan LI, Songyuan LI, Xuejun SHANG, Bowen GUO, Lin LI, Guoqiang ZU, Kai HOU

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Advanced Diagnostics of Aircraft Structures Using Automated Non-Invasive Imaging Techniques: A Comprehensive Review by Kostas Bardis, Nicolas P. Avdelidis, Clemente Ibarra-Castanedo, Xavier P. V. Maldague, Henrique Fernandes

“…In this proposed approach, an automated vision-based damage evaluation system will be developed capable of detecting and characterising defects in metallic and composite aircraft specimens by analysing 3D data acquired using an RGB camera and a IRT camera through photogrammetry. …”
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