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  1. 181

    Single-Crystal Inspection Using an Adapted Total Focusing Method by Iratxe Aizpurua-Maestre, Aitor De Miguel, Jose Luis Lanzagorta, Ewen Carcreff, Lander Galdos

    Published 2025-05-01
    “…This study proposes a methodology to determine the crystal orientation, which is subsequently used to improve the Total Focusing Method (TFM) by incorporating the refracted beam directivity. …”
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  2. 182

    A Multicriteria Customer Classification Method in Supply Chain Management by Felipe Barrera, Marina Segura, Concepción Maroto

    Published 2024-10-01
    “…This method assigns alternatives to one of four classes defined by critical dimensions that integrate several evaluation criteria. …”
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  3. 183

    Orbitrap noise structure and method for noise unbiased multivariate analysis by Michael R. Keenan, Gustavo F. Trindade, Alexander Pirkl, Clare L. Newell, Yuhong Jin, Konstantin Aizikov, Andreas Dannhorn, Junting Zhang, Lidija Matjačić, Henrik Arlinghaus, Anya Eyres, Rasmus Havelund, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Alex P. Gould, Alexander Makarov, Ian S. Gilmore

    Published 2025-07-01
    “…Using a stable primary ion beam to provide a well-controlled source of ions from a silver sample, we find that noise has three characteristic regimes: at low signals the Orbitrap detector noise and a censoring algorithm dominates; at intermediate signals counting noise specific to the ion emission process is most significant; and at high signals additional sources of measurement variation become important. Using this understanding, we developed a generative model for Orbitrap data that accounts for the noise distribution and introduce a scaling method, termed WSoR, to reduce the effects of noise bias in multivariate analysis. …”
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  4. 184

    Research on a Method for Identifying Key Fault Information in Substations by Pan Zhang, Lei Guo, Zhicheng Huang, Zhoupeng Rao, Ying Zhang, Zhi Sun, Rui Xu, Deng Li

    Published 2025-05-01
    “…To address these challenges, this study proposes a method of critical fault information identification that integrates a scalable time window with Principal Component Analysis (PCA). …”
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  5. 185

    Statistical Downscaling Method for Vegetation Optical Depth Based on NDVI by Wang Xinyu, Fang Shibo, Han Jiahao

    Published 2025-01-01
    “…There are currently two primary approaches for downscaling VOD. One involves integrating active microwave remote sensing, while the other involves integrating optical remote sensing.Currently, there is limited research focused on downscaling VOD, particularly using optical vegetation indices, which is very uncommon.Thus, statistical methods can be employed in conjunction with NDVI to spatially downscale VOD, exploring the feasibility of using optical remote sensing data for VOD downscaling. …”
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  6. 186

    Photonic crystal hydrogels based on highly reproducible molding method by Jingyeong Kim, Nguyen Hoang Minh, Da-In Kwon, Kwanoh Kim, Do Hyun Kang, Yeong-Eun Yoo, Jae Sung Yoon

    Published 2025-07-01
    “…The ratio of 50:1 was identified as the optimal composition for the molding method to ensure both mechanical stability and chemical responsiveness. …”
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  7. 187

    Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

    Published 2025-07-01
    “…To ensure that shield tunneling closely aligns with the designed alignment and to improve engineering construction quality, this study proposes a novel shield attitude prediction model, called WM-CTA, based on deep learning technology. [Methods] The WM-CTA model primarily consists of two frameworks: a data preprocessing module (Wavelet Transform and Maximum Information Coefficient) and a prediction module (Convolutional Neural Network and Attention Mechanism). …”
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  8. 188
  9. 189

    A frequency domain-based loop shaping procedure for the parameter estimation of the fractional-order tilt integral derivative controller by Biresh Kumar Dakua, Bibhuti Bhusan Pati

    Published 2024-11-01
    “…This paper demonstrates a frequency domain-based loop shaping method for the parameter estimation of a fractional order tilt integral derivative (FOTID) controller for the interval integer and fractional order time-delay systems. …”
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  10. 190
  11. 191

    Assessment of Transmission Reliability Margin: Existing Methods and Challenges and Future Prospects by Uchenna Emmanuel Edeh, Tek Tjing Lie, Md Apel Mahmud

    Published 2025-04-01
    “…The traditional deterministic TRM methods often fail to capture the stochastic nature of modern grids, leading to inaccurate estimations. …”
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  12. 192

    About One Variational Problem, Leading to а Biharmonic Equation, and about the Approximate Solution of the Main Boundary Value Problem for this Equation by I. N. Meleshko, P. G. Lasy

    Published 2022-06-01
    “…The disadvantage of this method is that the above system is not always easy to solve. …”
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  13. 193

    Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

    Published 2020-12-01
    “…The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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  14. 194

    Enhancing Fault Diagnosis: A Hybrid Framework Integrating Improved SABO with VMD and Transformer–TELM by Jingzong Yang, Xuefeng Li, Min Mao

    Published 2025-03-01
    “…To address this challenge, this study proposes an intelligent diagnostic method that integrates variational mode decomposition (VMD) optimized by the improved subtraction-average-based optimizer (ISABO) with transformer–twin extreme learning machine (Transformer–TELM) ensemble technology. …”
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  15. 195

    Evaluation of Global Descriptor Methods for Appearance-Based Visual Place Recognition by Kangyu Li, Yuhan Ma, Xifeng Wang, Lijuan Ji, Niuniu Geng

    Published 2023-01-01
    “…Recently, global descriptor methods have attracted substantial attention from the VPR community, which has contributed to numerous important outcomes. …”
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  16. 196

    Research on Decision-Making Methods for Autonomous Navigation in Inland Tributary Waterways by Liwen Huang, Jiahao Chen, Luping Xu, Haoyu Li, Guozhu Hao, Yixiong He

    Published 2025-03-01
    “…Under the premise of compliance with the “Rules of the People’s Republic of China for Inland River Collision Avoidance” (RPRCIRCA) and adherence to good seamanship, an autonomous navigation decision-making method is developed by integrating an improved Line-of-Sight tracking model with a collision avoidance strategy based on exhaustive course-speed maneuver combinations. …”
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  17. 197

    Improved Key Microbial Biomarker Discovery Using Ensemble Statistical Methods by Walter Pirovano, Yashjit Gangopadhyay, Mirna Lilian Baak, Christiaan Arie de Leeuw, Radhika Bongoni, Eline Suzanne Klaassens

    Published 2025-01-01
    “…Here, we present a consensus-based key microbial biomarker (KMB) biostatistical analysis framework that links microbial abundance obtained from amplicon-based or shotgun metagenome sequencing with metadata. The framework integrates machine learning (ML) algorithms and statistical methods to determine the most relevant microbial biomarkers and signatures that explain variation in the microbial abundance counts and metadata classes based on predefined metrics. …”
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  18. 198

    Probing Public Perceptions of Antidepressants on Social Media: Mixed Methods Study by Jianfeng Zhu, Xinyu Zhang, Ruoming Jin, Hailong Jiang, Deric R Kenne

    Published 2025-02-01
    “…MethodsData were collected from AskaPatient and Reddit, analyzed using natural language processing and large language models. …”
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  19. 199

    Geospatial Modeling Methods in Epidemiological Kidney Research: An Overview and Practical Example by R. Blake Buchalter, Sumit Mohan, Jesse D. Schold

    Published 2024-04-01
    “…Geospatial modeling methods in population-level kidney research have not been used to full potential because few studies have completed associative spatial analyses between risk factors and exposures and kidney conditions and outcomes. …”
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  20. 200