Detecting LHC neutrinos at surface level by Akitaka Ariga, Steven Barwick, Jamie Boyd, Max Fieg, Felix Kling, Toni Mäkelä, Camille Vendeuvre, Benjamin Weyer

“…Abstract The first direct detection of neutrinos at the LHC not only marks the beginning of a novel collider neutrino program at CERN but also motivates considering additional neutrino detectors to fully exploit the associated physics potential. …”
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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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Qualitative modeling and analysis of attack surface for process multi-variant execution software system by Fukang XING, Zheng ZHANG, Ran SUI, Sheng QU, Xinsheng JI

Subjects: “…multi-variant execution…”
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Detection of Surface Defects on Compact Discs by P. F. Odgaard, J. Stoustrup, P. Andersen

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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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Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly by Ali Algadhi, Panos Psimoulis, Athina Grizi, Luis Neves

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SurfaceVision: An Automated Module for Surface Fault Detection in 3D Printed Products by Laukesh Kumar, Manoj Kumar Satyarthi

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Detecting subsurface diseases on airport road surface based on an improved SSD algorithm by Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

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LCFC-Laptop: A Benchmark Dataset for Detecting Surface Defects in Consumer Electronics by Hua-Feng Dai, Jyun-Rong Wang, Quan Zhong, Dong Qin, Hao Liu, Fei Guo

Subjects: “…surface defect detection in consumer electronics…”
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An improved YOLOv5n algorithm for detecting surface defects in industrial components by Jia-Hui Tian, Xue-Feng Feng, Feng Li, Qing-Long Xian, Zhen-Hong Jia, Jie-Liang Liu

“…Abstract Due to the small defect areas and indistinct features on industrial components, detecting surface defects with high accuracy remains challenging, often leading to false detections. …”
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Detecting subsurface diseases on airport road surface based on an improved SSD algorithm. by Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

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LE-YOLO: A Lightweight and Enhanced Algorithm for Detecting Surface Defects on Particleboard by Chao He, Yongkang Kang, Anning Ding, Wei Jia, Huaqiong Duo

Subjects: “…object detection…”
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Method of Detecting Microorganisms on the Surface of Mandarin Fish Based on Hyperspectral and Information Fusion by Tao Yuan, Yixiao Ma, Zuyu Guo, Yijian Wang, Liqin Kong, Yaoze Feng, Haopeng Liu, Liang Meng

“…Microorganisms play a key role in fish spoilage and quality deterioration, making the development of a rapid, accurate, and efficient technique for detecting surface microbes essential for enhancing freshness and ensuring the safety of mandarin fish consumption. …”
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Detection of Defects on Metal Surfaces Based on Deep Learning by Onur Cem Han, Uğurhan Kutbay

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Merging Surface Plasmon Optical Detection with Electronic Sensing by Wolfgang Knoll

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Marble Surface Anomaly Detection Using Autoencoder Architecture by Yahya Abdullah, Cemil Öz

Subjects: “…anomaly detection…”
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LSTM and TCN application for airport surface distress detection by Ludek Cicmanec, Adam Kubica, Jiri Maslan

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A YOLO-Based Model for Detecting Stored-Grain Insects on Surface of Grain Bulks by Xueyan Zhu, Dandan Li, Yancheng Zheng, Yiming Ma, Xiaoping Yan, Qing Zhou, Qin Wang, Yili Zheng

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Method for Detecting Tiny Defects on Machined Surfaces of Mechanical Parts Based on Object Recognition by Haotian Li, Zhen Wang, Lipeng Qiu, Xichu Wei

“…In response to the high missed detection rates and low efficiency of traditional methods in detecting tiny defects on the machining surfaces of mechanical parts, this study proposes an efficient defect detection method based on deep learning. …”
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A Method for Detecting Small Slow Targets on Sea Surface Based on FC-MCNN by Qing Sun, Jing Zhao, Chunling Xue, Xueting Yang

“…Detecting small slow targets on sea surface has always been a hot topic in radar target detection. …”
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