Experimental Study on Interface Debonding Defect Detection and Localization in Underwater Grouting Jacket Connections with Surface Wave Measurements by Qian Liu, Bin Xu, Xinhai Zhu, Ronglin Chen, Hanbin Ge

“…In this study, an interface debonding defect detection and localization approach for scaled underwater GJC specimens using surface wave measurements with piezoelectric lead zirconate titanate (PZT) actuation and sensing technology was validated experimentally. …”
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Au-Ag Bimetallic Nanoparticles for Surface-Enhanced Raman Scattering (SERS) Detection of Food Contaminants: A Review by Pengpeng Yu, Chaoping Shen, Xifeng Yin, Junhui Cheng, Chao Liu, Ziting Yu

“…These innovations are designed to streamline the detection process and offer guidance in selecting optimal sensing methods for the on-site detection of specific pollutants.…”
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Detection of Oral Beta-Lactam Antibiotics Using a Taste Sensor with Surface-Modified Lipid/Polymer Membranes by Takahiro Uchida, Ziyi Jiang, Zeyu Zhao, Shunsuke Kimura, Takeshi Onodera, Kiyoshi Toko

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A new paradigm for solution of problem oil spill detection by radar at grazing angles of the irradiation sea surface by V. V. Leontyev, A. A. Pimenov

“…Low efficiency of using of commercially available marine navigation radars to detect the oil slicks on the sea surface is showed. …”
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Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11 by Zeyu Yu, Dongyun Wang, Hanyang Wu

“…Detecting defects on complex surfaces remains a significant challenge due to the variability of defect characteristics, interference from specular reflections, and imaging non-uniformity. …”
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Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10 by Jiayong An, Siyuan Dong, Xuanli Wang, Chenlei Li, Wenpei Zhao

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Surface Vessels Detection and Tracking Method and Datasets with Multi-Source Data Fusion in Real-World Complex Scenarios by Wenbin Huang, Hui Feng, Haixiang Xu, Xu Liu, Jianhua He, Langxiong Gan, Xiaoqian Wang, Shanshan Wang

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Near-Infrared Photoluminescence Responses of Single-Walled Carbon Nanotubes Induced by Biomolecules Detected on a Microbead Surface by Yoshiki Tachikawa, Masahiro Ito, Masaru Irita, Takunori Harada, Kazuo Umemura

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YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

Subjects: “…multi-scale and small target detection…”
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Characterisation of SiOX / SiNX Surface Passivation Using Time-of-Flight Elastic Recoil Detection Analysis by Matthew Wright, Matthew Sharpe, Callum McAleese, Yan Wang, Yifu Shi, Ruy S Bonilla

“…We comment on the difficulty of correlating physical hydrogen measurements with the surface recombination properties. …”
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Detection of SARS-CoV-2 in bioaerosols and surface samples from healthcare facilities in Klang Valley, Malaysia by Rosnawati Muhammad Robat, Raheel Nazakat, Siti Aishah Rashid, Rohaida Ismail, Nurul Amalina Khairul Hasni, Nadia Mohamad, Nik Muhammad Nizam Nik Hassan, Muhammad Alfatih Pahrol, Jeyanthi Suppiah, Fatin Amirah Suib, Kamesh Rajendran, Rafiza Shaharudin

“…Air samples were obtained using air samplers, while surface samples were taken from return air grilles. …”
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Detection and Evaluation for Corrosion Fatigue Damage on Q235A Steel Using Nonlinear Rayleigh Surface Wave by Yuanyuan Wang, Xuejie Han, Taili Liu, Qiang Ma

“…A nonlinear ultrasonic detection system, employing the wedge/transducer approach to excite and receive Rayleigh surface waves, has been devised for the purpose of detecting and evaluating corrosion fatigue damage in Q235A steel. …”
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Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning by Yingbin Wang, Yulong Huang, Xiaobao Liu, Chishan Kang, Wenjie Wu

“…Abstract With the growing global challenge of drug abuse, there is an urgent need for rapid, accurate, and cost-effective drug detection methods. This study introduces an innovative approach to drug abuse screening by quickly detecting ephedrine (EPH) in tears using drop coating deposition-surface enhanced Raman spectroscopy (DCD-SERS) combined with machine learning (ML). …”
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Advances in rapid detection of volatile organic compounds (VOCs): From conventional techniques to surface-enhanced Raman spectroscopy by Yaping Tian, Yuanyuan Liu, Keyong Dong, Bo Zhao, Shoufeng Tang, Xinming Nie, Yabin Yan

Subjects: “…Traditional analytical detection technology…”
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Signal Detection in Intelligent Reflecting Surface-Assisted NOMA Network Using LSTM Model: A ML Approach by Haleema Sadia, Hafsa Iqbal, Syed Fawad Hussain, Nasir Saeed

Subjects: “…intelligent reflecting surface (IRS)…”
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SDD-Net: A Steel Surface Defect Detection Method Based on Contextual Enhancement and Multiscale Feature Fusion by Chao Liang, Zi-Zheng Wang, Xiao-Lin Liu, Peng Zhang, Zhi-Wei Tian, Ru-Liang Qian

Subjects: “…Industrial surface defect detection…”
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Ultrasensitive Surface‐Enhanced Raman Spectroscopy Detection by Porous Silver Supraparticles from Self–Lubricating Drop Evaporation by Tulsi Satyavir Dabodiya, Somasekhara Goud Sontti, Zixiang Wei, Qiuyun Lu, Romain Billet, Arumugam Vadivel Murugan, Xuehua Zhang

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Simple surface modification of poly(methyl methacrylate) microfluidic microplates for enhanced ultrasensitive multiplexed detection of infectious diseases by Sharma T. Sanjay, Sapna Kannan, XiuJun Li

“…A sandwich-type immunoassay for the rapid and sensitive detection of immunoglobulin G (IgG), hepatitis B surface antigen (HBsAg), and hepatitis B core antigen (HBcAg) was demonstrated as a proof-of-concept for multiplexed detection. …”
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The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season by Claire M. Murphy, Daniel L. Weller, Tanzy M. T. Love, Michelle D. Danyluk, Laura K. Strawn

“…ABSTRACT Fecal contamination of surface waters presents significant human health and environmental risks. …”
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ZFD-Net: Zinc flower defect detection model of galvanized steel surface based on improved YOLOV5 by Yang Gao, Hanquan Zhang, Lifu Zhu, Feitong Xie, Dong Xiao

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