A Study of Real-time Detection Methods for Solar Radio Burst Identification by YongLin Yu, ChengLong Qiao, Shuo Xu, QinZheng Li, YanRui Su, HongQiang Song, FaBao Yan

“…Considering the combined metrics of success rate, false detection rate, and real-time performance, the Sum Flux Continuous-3 σ method is deemed the optimal method among the five. …”
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Simultaneous determination methods of 35 skeleton flavor substances in 12 flavor types Baijiu by MA Wei, WU Yinghuan, HE Yuan, XU Yuecheng, ZHONG Ciping

“…In order to solve the demand for a rapid quantification of skeleton flavor components in 12 flavor types Baijiu, a detection method which could simultaneously determine the skeleton flavor in Baijiu by GC was established. …”
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An effective hybrid method for the optimal control of fraud rumor propagation on online social networks by Raheleh Khanduzi, Amin Jajarmi, Asiyeh Ebrahimzadeh

“…To solve this OCP, we employ a hybrid discretization-metaheuristic approach that integrates the collocation method to transform the OCP of the RP model into a nonlinear programming (NLP) with a Botox optimizer for the NLP to detect the optimal control, state variables, and objective functional. …”
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Research on emulsion concentration detection technology based on interpretable machine learning methods by Jiaxu Kang, Jianwei Li, Meng Wang, Xinwei Guo, Dinghao Liu, Chao Qu, Chengbin Guo

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An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection by Adam Kadi, Aymene Selamnia, Zakaria Abou El Houda, Hajar Moudoud, Bouziane Brik, Lyes Khoukhi

“…Our obtained results show notable differences in classification accuracy, underscoring the importance of encoding choice in optimizing QML-based IDS. This study aims to advance the application of quantum methodologies in network security by identifying effective encoding strategies for intrusion detection.…”
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Comparative analysis of spectroradiometric and chemical methods for nutrient detection in black gram leaves by M. Balamurugan, K. Kalaiarasi, Jayalakshmi Shanmugam, Ratchagaraja Dhairiyasamy

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Performance Evaluation of Neighbors-Based Learning Methods for Network Intrusion Detection System by Ngoc Thien Nguyen

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Influence of homogenization methods on lichen species detection from environmental DNA metabarcoding by Ayumi Sakata, Toshifumi Minamoto, Tetsuya Sado, Ryo O. Gotoh, Masaki Miya

“…Metabarcoding analyses revealed that the method without homogenization detected the fewest species, while nearly identical and higher numbers of species were detected in samples subjected to bead-beating and frozen bead-beating homogenization. …”
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection by Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya

“…Even with such usefulness, these methods are bound to restrictive elements individually that could compromise the precision of cancer detection systems. …”
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YOLO-RDM: Innovative Detection Methods for Eggplants and Stems in Complex Natural Environment by Qin Liu, Zhibin Zhou, Lu Xiong, Meilian Lu, Jingwen Ouyang

“…Accurate identification of eggplants and their stems in complex environments is crucial for the research on intelligent harvesting equipment for eggplants. Current object detection methods have limited and traditional approaches to eggplant research. …”
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Wireless Sensor Network Deployment: Architecture, Objectives, and Methodologies by Frantz Tossa, Yves Faga, Wahabou Abdou, Eugène C. Ezin, Pierre Gouton

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Fabrication and optimization of a multielectrode microfluidic electrochemical flow cell for fast and dynamic detection of reaction products by Espen Vinge Fanavoll, David A. Harrington, Svein Sunde, Frode Seland

“…Details of the fabrication of the electrodes and polydimethylsiloxane channel using soft lithography methods are given. Calibration of the collection efficiencies and transit times between electrodes validate the use of these cells for fast electrochemical detection of soluble species. …”
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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…In this paper, we propose an optimal deep learning model for anomaly detection in IIoT. …”
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Optimal processing of tongue swab samples for Mycobacterium tuberculosis detection by the Xpert MTB/RIF Ultra assay by Gayatri Shankar Chilambi, Robert Reiss, Naranjargal Daivaa, Padmapriya Banada, Margaretha De Vos, Adam Penn-Nicholson, David Alland

“…The ability of Xpert Ultra to detect TB was improved under these conditions compared with the previously published heat-processing method; processing steps were simplified; and technical challenges were overcome.…”
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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

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An automatic pruning method for SAR target detection based on multitask reinforcement learning by Huiyao Wan, Jie Chen, Pazlat Nurmamat, Hongcheng Zeng, Wei Yang, Tao Xu, Bocai Wu, Jie Chen, Zhixiang Huang, Paulo S.R. Diniz

“…Experimental results based on SSDD and HRSID show that the SARRLP method can achieve automatic optimal pruning detection models. …”
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Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network by Yi Zhou, ChangQing Zeng, ZhenDong Mu

“…In this article, the authors propose a functional brain network‐based driving fatigue detection method and seek to combine features and algorithms with optimal effect. …”
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Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

“…Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion distillation named GFDD. …”
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Mobility difference index: a quantitative method for detecting human mobility difference by Zhaohui Liu, Rui Li, Jing Cai, Qiushi Hu, Huayi Wu

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Development and validation of an analytical method for detecting chlorantraniliprole residues in fresh tea leaves by Tengfei Liu, Minghui Dong, Fengjie Zhou, Daifeng Yang, Xueming Zhang

“…The method was employed to investigate the dissipation dynamics of chlorantraniliprole in fresh tea leaves with real field samples. …”
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