Identification and Forecasting of Key Influencing Factors in China’s Agricultural Carbon Emissions: Based on Machine Learning Method by Juntong Liu, Xiong Peng, Malan Huang, Yuzhou Ma, Cancan Jiang, Wanling Hu, Jinxin Zhang

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Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method by Jun Luo, Tao Fan, Jiawei Zhang, Pengfei Qiu, Xun Shi, Lidong Chen

“…Our automated workflow opens a new avenue for the automatic identification of the slip pathways in inorganic materials, which holds promise for accelerating the high-throughput screening of ductile inorganic materials.…”
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A Satellite Individual Identification Method Based on a Complex-Valued Conditional Generative Adversarial Network by Jun He, Can Xu, Canbin Yin, Pengju Li, Jishun Li, Shuailong Zhao, Yasheng Zhang

“…The experimental results for a signal dataset collected in a real environment demonstrated that the proposed model is superior to the traditional denoising methods in denoising performance, which effectively improves the identification accuracy under dynamic noises. …”
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Development and validation of a multiplex qPCR method for identification of high-risk genotypes of human papillomavirus by Ali Mohammadi, Ehsan Lotfi, Fatemeh Karamali, Fereshteh Golab, Mahmood Barati

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Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring by Jérémy Creux, Najla Haje Obeid, Thierry Boileau, Farid Meibody-Tabar

“…Based on the scientific literature, several methods can be used for early identification of aging. …”
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A Reduced-Domain Method of Structural Damage Identification: Application to a Spectral Element Beam Model by Usik Lee

“…Thus, as the extension of the author's previous work in which the damage identification algorithm was formulated from the dynamic stiffness equation of motion, the present study introduces a spectral element model (SEM)-based reduced-domain method (RDM) of damage identification. …”
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Identification of tampering methods among 12,385 Arabian camels using different diagnostic imaging techniques by Mohamed Tharwat, Abdulla Al-Hawas

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Topology Identification Method of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis by HUANGXubo, HUANGLei, AIDan, YANGQiu, YAOLinpeng

“… Aiming at the problems of high cost and low efficiency of manual calibration of low-voltage distribution network topology , a topology identification method of low-voltage distribution network based on GIS and voltage waveform correlation analysis is proposed. …”
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Comparative study of quantitative identification methods for peri-urban areas based on a multi-indicator system by Zhen Shi, Manshu Liu, Ying Wang, Krisztina Filepné Kovács

“…The Threshold Method, Breakpoint Clustering, and Multilayer Perceptron were chosen to compare the identification results of PUAs in Zhengzhou City, China. …”
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ITS-RFLP optimization for dermatophyte identification from clinical sources in Alagoas (Brazil) versus phenotypic methods by Luisa Andrea Villanueva da Fonseca, Maria Anilda Santos Araújo, Denise Maria Wanderlei Silva, Fernanda Cristina de Albuquerque Maranhão

“…Molecular approaches have been developed to provide faster and reliable results; therefore, this study aimed to identify dermatophytes isolated from Alagoas state patients, employing phenotypical and molecular methods. Methodology: Clinical samples for morphological identification were collected from private and public laboratories and cultivated on Sabouraud dextrose agar. …”
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Identification of Gastrointestinal Parasite in Hospitalized Cats at Several Animal Clinics in Surabaya Using Faecal Examination Method by Luthfiyyah Nur Afifah Siswandi, Agus Sunarso, Iwan Sahrial Hamid, Mufasirin, Nusdianto Triakoso

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Image device identification and identity privacy protection method via integration of homomorphic encryption and PRNU fingerprints by ZHANG Pinchang, SHEN Yuanzhang, FAN Weibei, DONG Zhenjiang, SHEN Yulong, JIANG Xiaohong, XIAO Fu

“…To address the challenges of device spoofing and identity leakage in image acquisition systems within industrial Internet environments, a secure and robust image device identification method was proposed that integrated homomorphic encryption and physical-layer fingerprinting. …”
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Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

“…This paper proposes a method for monitoring and analyzing driver physiological characteristics by combining electronic vehicle identification (EVI) with multimodal biometric recognition. …”
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A Modulation Format Identification Method Based on Amplitude Deviation Analysis of Received Optical Communication Signal by Zhao Zhao, Aiying Yang, Peng Guo, Wenyu Tang

“…Modulation format identification (MFI) is necessary for future elastic optical networks. …”
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Characterization of the sex determining region and development of a molecular sex identification method in a Salangid fish by Hao Yang, Yu-Long Li, Teng-Fei Xing, Jin-Xian Liu

“…Meanwhile, there is a shortage of rapid and cost-effective genetic methods for sex identification, which poses challenges in identifying the sex of immature individuals in sex determination mechanism studies and aquaculture breeding applications. …”
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An Application Programming Interface (API) Sensitive Data Identification Method Based on the Federated Large Language Model by Jianping Wu, Lifeng Chen, Siyuan Fang, Chunming Wu

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A fast identification method for multi-joint robot load based on improved Fourier neural network by Xia Yue, Jionghao Mo, Zhibin Li, Haiteng Li, Chunliang Zhang, Shangbin Long

“…However, in some special application scenarios, the work load can not be measured directly, which is often identified indirectly by dynamic methods. Because of the obvious nonlinearity and the uncertainty of model parameters, the accuracy and efficiency of load identification are not enough. …”
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Cross-dataset person re-identification method based on multi-pool fusion and background elimination network by Yanfeng LI, Bin ZHANG, Jia SUN, Houjin CHEN, Jinlei ZHU

“…The existing cross-dataset person re-identification methods were generally aimed at reducing the difference of data distribution between two datasets,which ignored the influence of background information on recognition performance.In order to solve this problem,a cross-dataset person re-ID method based on multi-pool fusion and background elimination network was proposed.To describe both global and local features and implement multiple fine-grained representations,a multi-pool fusion network was constructed.To supervise the network to extract useful foreground features,a feature-level supervised background elimination network was constructed.The final network loss function was defined as a multi-task loss,which combined both person classification loss and feature activation loss.Three person re-ID benchmarks were employed to evaluate the proposed method.Using MSMT17 as the training set,the cross-dataset mAP for Market-1501 was 35.53%,which was 9.24% higher than ResNet50.Using MSMT17 as the training set,the cross-dataset mAP for DukeMTMC-reID was 41.45%,which was 10.72% higher than ResNet50.Compared with existing methods,the proposed method shows better cross-dataset person re-ID performance.…”
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An Equipment Identification Method Based on Lightweight CenterNet from Multivariate Features Fusion for Distribution Area by WANG Wenbin, FAN Ruixiang, DENG Zhixiang, WAN Junbiao, PAN Jianbing

“…It can not only provide detailed grid connection data for grid upgrading and new energy, but also effectively improve the low-voltage operation level of the distribution network. In this paper, a method of equipment identification in the distribution station area is proposed, which combines the topological structure characteristics of the equipment in the distribution station area, the steady-state characteristics of the power time series data and the lifetime accuracy characteristics of the equipment in the distribution station area. …”
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A Method of Coupling Mechanism Parameter Identification Based onGenetic Algorithm for MC-WPT System by LYU Zhuo, LIU Huadong, LE Wentao, ZHOU Zhenbang, LUO Jianbo

“…Simulation and test results verify the feasibility and effectiveness of the coupling mechanism parameter identification method.…”
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