Monitoring method⁃based guided wave for hole-edge crack in key connection structure of helicopter by WANG Huaji, SHI Liming, DAI Yushan, QIU Lei

“…Subsequently, a damage alarm threshold was established using a mean-value method to facilitate damage detection. Furthermore, an improved delay-and-sum imaging algorithm was developed based on the specific configuration of the attachment lug structure to optimize probability distribution and achieve precise crack localization. …”
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A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction by Qiao Li, Xingchen Li, Xiaoqian Chen, Wen Yao

“…Given the practical limitations that restrict sensors installed to only key areas for detection, we propose a GNN-based method for hypersonic aircraft flow field reconstruction from limited sensors. …”
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WMSNs Data Hidden Anomaly Detection Based on OH-KFJLT Bloom Filter by Chenkai Xiao, Zhongsheng Li, Yanming Wu

“…Firstly, the data is hashed by using the OH-KFJLT mapping method based on optimal hyperplane. Then, the RCS is adopted to de-noise the data. …”
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A permeated hydrogen monitoring method based on poly(2,5-dimethoxyaniline) hydrogenochromic films by Tian Yuan, Wen Shaomu, Yan Jing, Xu Lei, Wang Yongbo

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A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO by Hamid Amiriara, Mohammadreza Zahabi

“…Therefore, we use this method to search for the optimal solution vector in the modulation alphabet. …”
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A Stability indicating TLC-Densitometric Method for the Determination of Remdesivir in presence of Its Degradation Products by Mai H. Abd El-Fattah, Yasmine Ahmed Sharaf, Heba M. El-Sayed, Said A. Hassan

“…Linearity was observed over the concentration range of 0.2–1.1 µg/band for REM. Various method parameters—including mobile phase composition and detection wavelength—were systematically optimized to ensure high resolution, accuracy, and sensitivity. …”
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Deep learning-based anomaly detection for precision field crop protection by Cheng Wei, Yifeng Shan, MengZhe Zhen

“…Traditional methods struggle with the complexity and variability of agricultural data collected from diverse sources.MethodsTo address these challenges, we propose a novel framework that integrates the Integrated Multi-Modal Smart Farming Network (IMSFNet) with the Adaptive Resource Optimization Strategy (AROS). …”
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A longan-picking sequence planning method for UAV system based on multi-target tracking by Kaixuan Wu, Meiqi Zhang, Linlin Shi, Hengxu Chen, Yuju Mai, Mingda Luo, Hengyi Lin, Jun Li

“…To address this, we propose a lightweight and high-accuracy sequence planning method based on multi-target tracking, designed for UAV-based longan picking. …”
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Determination of seed sowing quality by dotted-nesting method using video file processing technology by Strygin Sergei, Konkina Viktoriya, Korobova Irina, Rybachok Maksim, Pustovarov Nikita

“…An algorithm for determining the accuracy of sowing using the dotted-nest method is presented. Two indicators were considered as optimization criteria: the coefficient of variation of the time intervals between seed emission from the sowing disc and seed placement, which were minimized. …”
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Visual indicator for the detection of methylmercury in blood: A critical biomarker for dietary exposure assessment by Yan Guo, Bing-chan Ma, Wen-qi Zhang, Bo-xin Li, Jia-ming Ou, Fen Liu, Chang-ye Hui

“…Methylmercury (MeHg), a significant dietary exposure biomarker, poses a substantial threat to public health, primarily due to the consumption of aquatic foods. Current detection methods are complex and unsuitable for on-site testing, necessitating the development of a simple and sensitive biosensor for rapid screening. …”
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Reversible steganographic method based on interpolation by bivariate linear box-spline on the three directional mesh by Amine Benhfid, El Bachir Ameur, Youssef Taouil

“…A reversible steganographic method allows to extract data from the stego file as well as to retrieve the cover file. …”
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A Ship Underwater Radiated Noise Prediction Method Based on Semi-Supervised Ensemble Learning by Xin Huang, Rongwu Xu, Ruibiao Li

“…Therefore, this paper proposes an SSL method for URN prediction. First, an anti-perturbation regularization is constructed using unlabeled data to optimize the objective function of EL, which is then used in the Genetic algorithm to adaptively optimize base learner weights, to enhance pseudo-label quality. …”
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A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing by Weixiao Xu, Luyang Jing, Jiwen Tan, Lianchen Dou

“…The result demonstrates that the proposed method can detect the fault of the rolling bearing effectively and achieve the highest diagnosis accuracy among all the tested methods in the experiment.…”
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Control method for seamless switching in hydrogen energy and pantograph-catenary parallel power supply system by ZHENG Hengliang, HOU Dazhi, SUN Shijie, LIU Wenquan, JIA Limin

“…The proposed method was is verified by RTLAB hardware-in-the-loop tests. …”
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A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data by Zhenzhen Wang, Junde Xie, Jia Zhang

“…Addressing class imbalance in breast cancer data is essential for enhancing detection accuracy, yet traditional machine learning methods often overlook this imbalance, limiting their classification performance. …”
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Investigation of directly suspended droplet micro extraction method for extraction of trihalomethane and halomethane in water samples by Seyed Kamal Rajabi, Ahmad Nikserasht

“…The detection limits of the method were in the range of 0.059–0.137 µg L−1, relative standard deviation (n = 3) range were 0.019–0.048%. …”
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The interpretable machine learning model for depression associated with heavy metals via EMR mining method by Site Xu, Mu Sun

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A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements by Xiaoshuang Jiao, Jinming Chen, Lifeng Jiang, Weiping Li, Xiaochao Yang, Weiwei Wang, Jun Zhang

“…For real-time detection scenarios such as battlefield reconnaissance and surveillance, where high positioning accuracy is required and receiving station resources are limited, we propose an innovative distributed aerial target localization method with low degrees of freedom. …”
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Validation of an LC-MS Method for Quantification of Mycotoxins and Characterization of Fungal Strains Occurring in Food and Feed by Julien Masquelier, Emmanuel K. Tangni, Pierre Becker, Julie Sanders, Joëlle Laporte, Birgit Mertens

“…Focusing on several mycotoxins, this study first aimed at optimizing and validating an ultra-high liquid chromatography-tandem mass spectrometry quantification method. …”
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Development and validation of a spectrophotometric method for the quantification of total bufadienolides in samples of toad glandular secretions by Elcio Daniel Sousa Barros, Evaldo dos Santos Monção Filho, Mariana Helena Chaves, Cícero Alves Lopes Júnior, Gerardo Magela Vieira Júnior

“…Methods: The proposed method was based on the bathochromic shift induced by the reaction of the α-pyrone group of bufadienolides (296 nm) with a 5% (w:v) aqueous solution of sodium hydroxide and detection at 356 nm, after 60 min (time defined based on the evaluation of kinetic assays). …”
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