Advancements in surface-enhanced femtosecond stimulated Raman spectroscopy: exploring factors influencing detectability and shapes of spectra by Pyrcz Patryk, Gawinkowski Sylwester

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Design and construction of a localized surface plasmon resonance based gold nanobiosensor for rapid detection of brucellosis by Sina Vakili, Gholamerza Asadikaram, Masoud Torkzadeh-Mahani, Alimohammad Behroozikhah, Mohammad Hadi Nematollahi, Amir Savardashtaki

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Rapid Detection of Kaempferol Using Surface Molecularly Imprinted Mesoporous Molecular Sieves Embedded with Carbon Dots by Yu He, Junping Wang, Shuo Wang

“…Fluorescence intensity of CDs@SBA-15@MIP composites linearly correlated with kaempferol content in the 0.05–2 mg/L range. Detection limit was 14 μg/L. MIPs were used for efficient detection of kaempferol in fruit and vegetable samples with recovery values from 80% to 112%. …”
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In vitro performance of DIAGNOdent laser fluorescence device for dental calculus detection on human tooth root surfaces by Thomas E. Rams, Abdulaziz Y. Alwaqyan

“…Objective: This study assessed the reproducibility of a red diode laser device, and its capability to detect dental calculus in vitro on human tooth root surfaces. …”
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Automatic Detection of Concrete Surface Defects Using Pre-Trained CNN and Laser Ultrasonic Visualization Testing by Takahiro Saitoh, Tsuyoshi Kato, Sohichi Hirose

“…The effectiveness of the proposed method is confirmed by applying it to a concrete structure with a surface defect. Grad-CAM demonstrates that the created CNN model in this study accurately predicts the position of a surface defect of concrete specimens.…”
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A crack detection model fusing local details and global context for nuclear cladding coating surfaces by Wei Quan, Xiwen Li, Jie Yang, Zhaoyu Chen

“…Abstract Crack detection on the surface of nuclear cladding coatings is critical for ensuring the safe operation of nuclear power plants. …”
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A Novel Method for Water Surface Debris Detection Based on YOLOV8 with Polarization Interference Suppression by Yi Chen, Honghui Lin, Lin Xiao, Maolin Zhang, Pingjun Zhang

“…Aquatic floating debris detection is a key technological foundation for ecological monitoring and integrated water environment management. …”
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Surface-Enhanced Raman Spectroscopy (SERS) Method for Rapid Detection of Neomycin and Chloramphenicol Residues in Chicken Meat by Yan Wu, Junshi Huang, Ni Tong, Qi Chen, Fang Peng, Muhua Liu, Jinhui Zhao, Shuanggen Huang

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Applications of surface wave modeling for void detection while comparing the data acquired using two sources by Md. Iftekhar Alam, M. Salman Abbasi, Lindsey Riikola

“…Abstract Seismic velocity modeling is being frequently applied for void detection within the first few meters from the surface. …”
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Orientation Controllable RCS Enhancement Electromagnetic Surface to Improve the Road Barriers Detectability for Autonomous Driving Radar by Yanbin Chen, Tong Wang, Qi Liu, Haochen Wang, Cheng Jin

“…An orientation controllable radar cross section (RCS) enhancement surface is presented in this paper, which can be used to improve the road pile detectability of on-board microwave radar for autonomous driving system. …”
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Surface-Enhanced Raman Spectroscopy for Adenine Detection in Five Selected Bacterial Strains Under Stress Conditions by Mona Ghazalová, Pavlína Modlitbová, Ota Samek, Katarína Rebrošová, Martin Šiler, Jan Ježek, Zdeněk Pilát

“…This pilot study investigated the metabolic responses of five selected bacteria to physiological stress. Surface-enhanced Raman spectroscopy was used to analyze spectral changes associated with the release of adenine, a key metabolite indicative of stress conditions. …”
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Profile-Based Building Detection Using Convolutional Neural Network and High-Resolution Digital Surface Models by Behaeen Farajelahi, Hossein Arefi

Subjects: “…building roof type detection…”
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Study on Novel Surface Defect Detection Methods for Aeroengine Turbine Blades Based on the LFD-YOLO Framework by Wei Deng, Guixiong Liu, Jun Meng

“…This study proposes a novel defect detection method to address the low accuracy and insufficient efficiency encountered during surface defect detection on aeroengine turbine blades (ATBs). …”
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Centroid growth selective clustering method for surface defect detection in silicon nitride ceramic bearing rollers by ZhaoDong Wang, ZhengYu Xiong, FaLiang Wang, WenZhi Liao, Zeyad Farisi, GangFu Rao, Kun Hu

“…To address these challenges, this paper proposes the Centroid Growth Selective Clustering Method for the accurate detection and segmentation of fuzzy surface defect features. …”
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Seal Pipeline: Enhancing Dynamic Object Detection and Tracking for Autonomous Unmanned Surface Vehicles in Maritime Environments by Mohamed Ahmed, Bader Rasheed, Hadi Salloum, Mostafa Hegazy, Mohammad Reza Bahrami, Mikhail Chuchkalov

Subjects: “…dynamic object detection…”
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FD-YOLO11: A Feature-Enhanced Deep Learning Model for Steel Surface Defect Detection by Zichen Dang, Xingshuo Wang

Subjects: “…Surface defect detection…”
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Enhancing Shiga toxin detection using surface plasmon resonance a study of antibody immobilization strategies by Zahra Karbalaee, Ali Hossein Rezayan, Ramezan Ali Taheri, Seyed Ali Mirhosseini, Mohammad Barshan-Tashnizi

“…Abstract This study demonstrates enhanced detection of Shiga toxin (Stx), a key virulence factor in Shigella dysenteriae-induced bloody diarrhea, through optimized surface plasmon resonance (SPR) biosensor design. …”
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SARS-CoV-2 detection by surface plasmon resonance biosensors based on graphene-multilayer structures by Talia Tene, Marco Guevara, Paul Romero, Alberto Guapi, Lala Gahramanli, Lala Gahramanli, Cristian Vacacela Gomez

“…The COVID-19 pandemic has created a demanding need for fast, sensitive, and reliable diagnostic methods to identify viral infections like SARS-CoV-2. In response, surface plasmon resonance (SPR) biosensors have emerged as effective tools for detecting biomolecules. …”
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Artificial intelligence Defect Detection Robustness inReal-time Non-Destructive Testing of Metal Surfaces by Chaoyu Dong, Jovian Sanjaya Putra, Andrew A. Malcolm

“…In this study, we identify and summarize the key factors that potentially affect metal surface NDT. Given the diversity of defects, we propose a multi-model fused AI approach for surface detection. …”
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Assessment of two novel methods for detecting non-cavitated, smooth surface enamel lesions: an in vitro study by Joel M. White, Pragati Nahar, Puja Kukreti, Jonathan Mangum, Ann Solterbeck, Rachel Jensen, Leslie Plack, Ram Vaderhobli, Larry Jenson

“…Abstract Background The objective of this study was to compare two new non-cavitated caries lesion detector methods, LumiCare (LC) and BlueCheck (BC), to each other and to the traditional visual/tactile method (TM) of non-cavitated enamel caries lesion detection on smooth surface lesions. Methods In this non-inferiority study, forty extracted human teeth with International Caries Detection and Assessment System (ICDAS) level 1 and 2 smooth-surface lesions were evaluated in standard operatory conditions by three ICDAS-trained dentists using the traditional visual and tactile method, the LumiCare method, and the BlueCheck method of detection. …”
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