Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks by Alexey Sulavko, Alexander Samotuga, Irina Kuprik

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GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

“…The predictive capability of the proposed method demonstrates its effectiveness in improving maritime navigation safety in a shipping environment with multiple information sources.…”
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MGV-seq: a sensitive and culture-independent method for detecting microbial genetic variation by Lun Li, Weiyu Kong, Jing Sun, Yongzhong Jiang, Tiantian Li, Zhihui Xia, Junfei Zhou, Zhiwei Fang, Lihong Chen, Shun Feng, Huiyin Song, Huafeng Xiao, Baolong Zhang, Bin Fang, Hai Peng, Hai Peng, Lifen Gao, Lifen Gao

“…MGV-Seq successfully identified dominant strains and low-frequency variants in rice leaf samples and authenticated single-colony strains with 100% major allele similarity.ConclusionMGV-Seq establishes a robust, high-throughput solution for strain identification, microevolution monitoring, and authentication, overcoming limitations of culture-dependent and metagenomics-based methods. …”
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A Method for Identifying Key Areas of Ecological Restoration, Zoning Ecological Conservation, and Restoration by Shuaiqi Chen, Zhengzhou Ji, Longhui Lu

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Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images by Zhuting Tan, Zhengyu Tan, Juhua Luo, Hongtao Duan

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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

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Novel AI-powered computational method using tensor decomposition for identification of common optimal bin sizes when integrating multiple Hi-C datasets by Y.-H Taguchi, Turki Turki

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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

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Recombinant Protein Spectral Library (rPSL) DIA-MS method improves identification and quantification of low-abundance cancer-associated and kynurenine pathway proteins by Shivani Krishnamurthy, Bavani Gunasegaran, Moumita Paul-Heng, Abidali Mohamedali, William P. Klare, C. N. Ignatius Pang, Laurence Gluch, Joo-Shik Shin, Charles Chan, Mark S. Baker, Seong Beom Ahn, Benjamin Heng

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Identification of contractors claims in Turnkey projects according to FIDIC by the system dynamics method (Case study on the 7008 housing units building project in Ojeda, Venezuela) by Amir Momeni, Elham Rastar, Armin Monirabbasi

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Identification and Characterization of Reclaimed and Underclaimed Mine Features Using Lidar and Temporal Remote Sensing Methods within the Coastal Plain Uranium Mining Region of Texas by Victoria G. Stengel, Tanya J. Gallegos, Bernard E. Hubbard, Steven M. Cahan, David S. Wallace

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A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study by Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, Hanne Sorger

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Accuracy of two Sepsityper MALDI-TOF MS methods for bacterial identification in bloodstream infections in dogs, foals, and calves using Bayesian latent class model by Donatienne Castelain, Jade Bokma, Mathilde Laetitia Pas, Serge Verbanck, Dominique Paepe, Bart Pardon, Filip Boyen

“…Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry enables faster identification of bacteria in BSIs. This study aimed to compare diagnostic accuracy of two Sepsityper® methods (Rapid Sepsityper® and Sepsityper® Extraction) with conventional culture method for bacterial identification in clinical samples. …”
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Comparative study of data-based and covariance-based methods for flutter derivative identification of a trussed deck suspension bridge model with wind tunnel validation by Hoang Trong Lam, Phan Duc Tam, Vo Duy Hung

“…Numerical simulations and wind tunnel experiments were conducted to evaluate each method's robustness to noise, identification accuracy, and computational efficiency. …”
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Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sichuan Basin by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

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Identification of adulteration in 11 fresh meat products by DNA mini-barcoding methods based on cytochrome C oxidase subunit Ⅰ (COⅠ) sequence by LI Jiong, WU Qiong, HU Mingjie, JIN Mengna, QIU Hongyu

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A liquid chromatography-high-resolution mass spectrometry method for separation and identification of hemoglobin variant subunits with mass shifts less than 1 Da by Ainslie Chen, Ryan M. Aquino, Hector A. Vidal, Carolyn V. Wong, Ruben Y. Luo

“…With further evaluation to prove the clinical utility, the HR-MS methods including CE-HR-MS have the potential to complement or partially replace conventional methods of Hb variant identification in clinical laboratories.…”
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Identification and Valuation of Economic Activities Reserves as a Priorityin Strategic Analysis by Svetlana Evgen’evna Egorova, Natal’ya Nikolaevna Kistaeva

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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Finally, the private dataset and PLAID dataset are tested, and the example results show that the proposed method has high recognition accuracy and good generalization performance in different operational scenarios.…”
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A New Method for Constructing High‐Resolution Phylogenomic Topologies Using Core Gene‐Associated MNP Markers: A Case Study From Agaricus bisporus by Fei Liu, Zhi‐Xin Cai, Wen‐Yi Kang, Wen‐Zhi Chen, Yuan‐Ping Lu, Mei‐Yuan Chen, Rui‐Lin Zhao

“…However, traditional methods often face challenges related to limited accuracy, high workloads, and reproducibility issues. …”
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