Enhanced Detection of Human Plasma Proteins on Nanostructured Silver Surfaces by Zuzana Orságová Králová, Andrej Oriňák, Renáta Oriňáková, Lenka Škantárová, Jozef Radoňák

“…Silver nanostructured surfaces were applied as the templates for Surface Enhanced Raman Spectroscopy (SERS) of albumin and globulin in the role of model analytes. …”
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TEST DETERMINATION OF PROBABILITY OF AIRBORNE DETECTION OF GROUND SURFACE OBJECTS by S. V. Nikolaev

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Crack Detection on Road Surfaces Based on Improved YOLOv8 by Haiyang Wu, Lingyun Kong, Denghui Liu

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SEPDNet: simple and effective PCB surface defect detection method by Du Lang, Zhenzhen Lv

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Research on Asphalt Pavement Surface Distress Detection Technology Coupling Deep Learning and Object Detection Algorithms by Hong Zhang, Yuanshuai Dong, Yun Hou, Xiangjun Cheng, Peiwen Xie, Keming Di

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Optimization and Validation of Wafer Surface Defect Detection Algorithm Based on RT-DETR by Ao Xu, Yanwei Li, Hongbo Xie, Rui Yang, Jianjie Li, Jiaying Wang

“…In response to the issue of poor detection performance on wafer surface defect spots and elongated scratches, an improved RT-DETR method for wafer surface defect detection is proposed. …”
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Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model by Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Faeiz M. Alserhani, Piyush Kumar Shukla, J. Shreyas

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Real-Time Detection and Quantification of Rail Surface Cracks Using Surface Acoustic Waves and Piezoelectric Patch Transducers by Mohsen Rezaei, Sven Eck, Sebastian Fichtenbauer, Jürgen Maierhofer, Reinhard Klambauer, Alexander Bergmann, David Künstner, Dino Velic, Hans-Peter Gänser

“…This paper presents a novel wayside rail monitoring system for real-time detection and quantification of rail surface cracks with sub-millimeter precision. …”
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Consequences of Surface Composition and Aggregation Conditions of Ag Nanoparticles on Surface-Enhanced Raman Scattering (SERS) of Pesticides by Marcelo José dos Santos Oliveira, Gilia Cristine Marques Ruiz, Rafael Jesus Gonçalves Rubira, Santiago Sanchez-Cortes, Carlos José Leopoldo Constantino, Leonardo Negri Furini

“…These findings demonstrated that although the pesticide molecules belong to the same chemical functional group, their detection was strongly influenced by the surface of the silver nanoparticles and the salts added. …”
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Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds by Anatoliy Zhuchenko, Oleksiy Kuchkin, Artem Sazonov, Danylo Zghurskyi

“…The results demonstrate the most energy efficient flat surface detection method that processes 60 RGB-D camera frames per second.…”
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Nanoscale Organic Contaminant Detection at the Surface Using Nonlinear Bond Model by Hendradi Hardhienata, Muhammad Ahyad, Fasya Nabilah, Husin Alatas, Faridah Handayasari, Agus Kartono, Tony Sumaryada, Muhammad D. Birowosuto

“…We find for the first time that the SBHM not only identifies the different organic pollutant dyes on the surface, as in conventional SHG detection, but can also determine their relative orientation and different concentrations on the surface. …”
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Workpiece surface defect detection based on YOLOv11 and edge computing by Zishuo Wang, Tao Ding, Shuning Liang, Hongwei Cui, Xingquan Gao

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Innovative Surface Plasmon Resonance Aptasensor for Detecting Cocaine in Human Urine by Gül Keklik Şah, Aybüke A. Isbir Turan

“…This study describes the development of an optical-based surface plasmon resonance (SPR) aptasensor for the detection of cocaine. …”
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pyCAST, a Python package for the detection of cavities on surface proteins by Giorgio Luciano, Ulderico Fugacci, Silvia Biasotti

“…This study introduces pyCAST, a Python package designed to detect cavities on protein surfaces using the CAST methodology, a widely recognized approach for cavity identification. …”
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Study on detecting methods for apple stem and defected surface with computer vision by ZHANG Wen-ying, YING Yi-bin

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Steel Surface Defect Detection Based on Improved GCHS-YOLO Algorithm by Ruiqiang Guo, Peiyong Ji, Yapin Zhang, Jingqi Hu, Wenlong Liu, Xuejian Li, Min Li

“…In this paper, we address challenges in steel surface defect inspection, such as missed detections and false detections, by proposing the GCHS-YOLO detection algorithm. …”
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Surface Defect Detection Based on Adaptive Multi-Scale Feature Fusion by Guochen Wen, Li Cheng, Haiwen Yuan, Xuan Li

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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…However, implementing accurate and automated object detection algorithms mitigates these challenges, allowing errors or defects to be detected before processing. …”
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Automated Sidewalk Surface Detection Using Wearable Accelerometry and Deep Learning by Do-Eun Park, Jong-Hoon Youn, Teuk-Seob Song

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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

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