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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Optimization of Sulfur Determination in Vanadium-Titanium Magnetite Ore in the Panxi Area by Yong WANG, Zijing LI, Lin LIU, Guowei LI

“…The relative standard deviation (RSD) in samples was 0.40%−0.67%, with satisfactory precision. The range of the method was 0.0004%−1.52%, and the detection limit was 0.0004%.…”
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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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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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Two Methods for Detecting PCM Residues in Vegetables Based on Paper-Based Sensors by Jiazheng Sun, Shiling Li, Xijun Shao, Mingxuan Fang, Heng Zhang, Zhiheng Zhu, Xia Sun

“…This study developed a sensitive and rapid immunoassay method utilizing a gold- and fluorescence-labeled monoclonal antibody (mAb) for detecting PCM residues in vegetable samples. …”
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Metastases to Regional Lymph Nodes in Breast Cancer: Current Views of Detection Methods by I. E. Kondrashkin, V. E. Fedorov, V. Y. Barsukov, Y. I. Orlova, L. F. Zhandarova

“…Consequently, the effective detection of metastases within the regional lymphatic system during breast tumor progression is a critical diagnostic component. …”
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On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness by Alan M. Pardo, Andres Legarra, Zulma G. Vitezica, Natalia S. Forneris, Daniel O. Maizon, Sebastián Munilla

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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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A novel hybrid approach for thyroid disease detection: Integrating cuttlefish algorithm and simulated annealing for optimal feature selection by Kapil Shrivastava, Saroj Pandey, Rishav Dubey, Mayank Namdev, Vipin Tiwari, Aditi Sharma

“…This study advances medical diagnostics by combining machine learning algorithms with nature-inspired optimization techniques to detect thyroid illnesses in their early stages. • This article proposes a novel hybrid algorithm that combines the Cuttlefish Optimization Algorithm (CFA) and Simulated Annealing (SA) to find the best features for finding thyroid disease. • The study uses machine-learning models for classification. • The integration of machine learning and nature-inspired optimization significantly enhances the diagnostic capabilities of healthcare systems, enabling prompt diagnosis and treatment planning for thyroid disorders.…”
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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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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method by Mohammad Saichu Nidom

“…This study explores the effectiveness of the Haar Cascade Classifier method optimized with Adaboost to improve the accuracy and efficiency of face detection in various head covering conditions. …”
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Flexi-YOLO: A lightweight method for road crack detection in complex environments. by Jiexiang Yang, Renjie Tian, Zexing Zhou, Xingyue Tan, Pingyang He

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Comprehensive quality detection method for tomatoes combining machine vision and spectral techniques by GUO Dechao, RAO Yuanli, ZHANG Hao, LI Chunfeng, ZHAO Qiang

“…Complete tomato internal quality grading through preprocessing methods, feature extraction methods, and improved particle swarm optimization using least squares support vector machine. …”
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Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background by Junchen Ai, Yadong Li, Shengxiang Gao, Rongsheng Hu, Wengang Che

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Rice disease detection method based on multi-scale dynamic feature fusion by Qian Fan, Runhao Chen, Bin Li

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