Segment-based Eulerian-Lagrangian transition method for flat nozzle spray atomization simulation by Mengqi Liu, David L.S. Hung

“…This paper presents a novel segment-based Eulerian-Lagrangian transition method for predicting the primary and secondary breakup behavior of a flat nozzle spray. …”
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CLINICAL RESULTS OF THE USAGE OF NEW LOCAL METHOD OF TREATMENT AND PREVENTION OF INFLAMMATORY DISEASES OF ORAL MUCOUS MEMBRANE AND PARODONTIUM IN SMOKERS by O. L. Zolotuhina, L.S. Kravchenko, O.V. Goncharenko, A. A. Bas, E.A. Strochenko

“…Estimation of microvasculatory bloodstream by the method of ultrasonic Doppler flowmetry revealed more rapid normalization of volume and linear high systole, speed of blood stream in the parodontal tissues in case of usage of new local method that testified the less evident inflammation of oral mucosa. …”
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FastSLAM-MO-PSO: A Robust Method for Simultaneous Localization and Mapping in Mobile Robots Navigating Unknown Environments by Xu Bian, Wanqiu Zhao, Ling Tang, Hong Zhao, Xuesong Mei

“…While traditional SLAM methods like Extended Kalman Filter (EKF) and FastSLAM have made strides, they often struggle with the complexities of non-linear dynamics and non-Gaussian noise, particularly in dynamic settings. …”
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Localization and Diagnosis of Short-Circuit Faults in Transformer Windings Injected by Damped Oscillatory Wave by Chengbo Hu, Xueqiong Zhu, Yongling Lu, Ziquan Liu, Zhen Wang, Zhengyu Liu, Kangyong Yin

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Application of Empirical Mode Decomposition with Local Linear Quantile Regression in Financial Time Series Forecasting by Abobaker M. Jaber, Mohd Tahir Ismail, Alsaidi M. Altaher

“…We propose a two-stage technique that combines the empirical mode decomposition (EMD) with nonparametric methods of local linear quantile (LLQ). We use the proposed technique, EMD-LLQ, to forecast two stock index time series. …”
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LOCAL LINEAR EMBEDDING ALGORITHM FOR PARAMETER MATRIX MEASUREMENT IN SYMMETRIC POSITIVE DEFINITE MANIFOLD (MT) by LIU QingQiang, HE HongKai, ZHENG ChangMin, SUN YanRu, LIU ZiXuan

“…Most of the existing local linear embedding algorithms assume that the original data set is located in Euclidean space, but in reality almost all the original space is non-Euclidean space. …”
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A triangular system for local character expansions of Iwahori-spherical representations of general linear groups by Gurevich, Maxim

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The results of the development of a personalized method of mandibular foramen searching in the aspect of mproving the efficiency and safety of inferior alveolar nerve block

“…On the basis of anthropometric studies a predictive calculation of the depot area for local anesthetic while using the proposed method of anesthesia was done. …”
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Extending Local Canonical Correlation Analysis to Handle General Linear Contrasts for fMRI Data by Mingwu Jin, Rajesh Nandy, Tim Curran, Dietmar Cordes

“…Local canonical correlation analysis (CCA) is a multivariate method that has been proposed to more accurately determine activation patterns in fMRI data. …”
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

“…Traditional radiation mapping methods often fail to accurately capture these complex variations, making the rapid and precise localization of radiation sources a significant challenge in emergency response scenarios. …”
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Strong Convergence of a Modified Euler—Maruyama Method for Mixed Stochastic Fractional Integro—Differential Equations with Local Lipschitz Coefficients by Zhaoqiang Yang, Chenglong Xu

“…This paper presents a modified Euler—Maruyama (EM) method for mixed stochastic fractional integro—differential equations (mSFIEs) with Caputo—type fractional derivatives whose coefficients satisfy local Lipschitz and linear growth conditions. …”
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A Three-Dimensional Target Localization Method for Satellite–Ground Bistatic Radar Based on a Geometry–Motion Cooperative Constraint by Fangrui Zhang, Hu Xie, She Shang, Hongxing Dang, Dawei Song, Zepeng Yang

“…This paper investigates the three-dimensional target localization problem in satellite–ground bistatic radar. …”
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Quantifying winter forage resources for reindeer: Developing a method to estimate ground lichen cover and biomass at a local scale by Erik Cronvall, Sven Adler, Per Sandström, Anna Skarin

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Theorems on the zeros of linear differential operators by A.I. Fomin, V.I. Titarenko

“…When proving the formal theorem on the division of linear differential operators, elements of the theory of linear locally convex spaces are used. …”

Locality-Preserving Multiprojection Discriminant Analysis by Jiajun Ma

“…Linear discriminant analysis (LDA), as an effective feature extraction method, has been widely applied in high-dimensional data analysis. …”
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Solution of Internal Forces in Statically Indeterminate Structures Under Localized Distributed Moments by Pengyun Wei, Junhong Hu, Haizhong Man, Shunjun Hong

“…Then, the load constant formulas for localized uniform moments and localized linearly distributed moments are derived via the integral method, leveraging the load constant formula for a single concentrated moment. …”
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Quantum Heisenberg Spin Chains with Inversely Linear Correlated Disorder: Localization Effects and State Transfer Protocols by MARCONI SILVA SANTOS JUNIOR, MESSIAS DE OLIVEIRA SALES, GUILHERME M.A. ALMEIDA, FRANCISCO ANACLETO BARROS FIDELIS DE MOURA

“…The Cholesky decomposition method is employed to generate the spin-spin coupling that adheres to this correlation structure. …”
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Localization Accuracy Improvement of a Visible Light Positioning System Based on the Linear Illumination of LED Sources by Nan Wu, Lihui Feng, Aiying Yang

“…Received signal strength (RSS) based visible light positioning method is easy to implement because it requires simple hardware structure. …”
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A fast prediction method of fatigue life for crane structure based on Stacking ensemble learning model by Jincheng Zhao, Qing Dong, Gening Xu, Hongjuan Li, Haiting Lu, Weishan Zhuang

“…Meanwhile, the fast prediction method of fatigue life of crane metal structures based on the Stacking ensemble learning model is proposed. …”
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LOCAL INTERPOLATION AND APPROXIMATION IN TASKS OF HEURISTIC SYNTHESIS OF DIGITAL FILTER by V. N. Isakov, P. I. Timoshenko

“…Numerical integration is usually considered on the basis of stepwise or piecewise linear or piecewise parabolic interpolation (method of rectangles, trapezoids, Simpson). …”
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