DEVELOPMENT OF RECURSIVE COMPUTING ALGORITHM FOR AN ASSESSMENT OF ATMOSPHERIC TURBULENCE ON THE BASIS OF THE EQUATION OF TRANSFER AND RESULTS OF CALCULATIONS by Viktoria Igorevna Naac, Tatiana Vasilievna Travkina

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Multi-Scale Spatiotemporal Feature Enhancement and Recursive Motion Compensation for Satellite Video Geographic Registration by Yu Geng, Jingguo Lv, Shuwei Huang, Boyu Wang

“…In this paper, a multi-scale spatiotemporal feature enhancement and recursive motion compensation method for satellite video geographic alignment is proposed. …”
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Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework by Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser

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A low-dimensional recursive deep learning model for El Niño-Southern Oscillation simulation by Jiho Ko, Na-Yeon Shin, Jonghun Kam, Yoo-Geun Ham, Jong-Seong Kug

“…Abstract In this study, we develop a low-dimensional recursive model using deep learning (DL) to understand the dynamics of the El Niño-Southern Oscillation (ENSO). …”
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Metabolomics for origin traceability of lamb: An ensemble learning approach based on random forest recursive feature elimination by Chongxin Liu, Simona Grasso, Nigel Patrick Brunton, Qi Yang, Shaobo Li, Li Chen, Dequan Zhang

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Dynamic Parameters Estimation for a 6-DOF Manipulator Using the Recursive Least Squares Method in Practice by Duc Thien Tran, Ngoc Thien Nguyen, Hai Ninh Tong, Nguyen Van Hiep

“…This paper presents a recursive least squares (RLSs) technique for identifying the payloads acting on the 6-degree-of-freedom (DOF) manipulator during the robot operation. …”
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The Parameter-Optimized Recursive Sliding Variational Mode Decomposition Algorithm and Its Application in Sensor Signal Processing by Yunyi Liu, Wenjun He, Tao Pan, Shuxian Qin, Zhaokai Ruan, Xiangcheng Li

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Extension of the First-Order Recursive Filters Method to Non-Linear Second-Kind Volterra Integral Equations by Rodolphe Heyd

“…This extension represents a major step forward in the field of recursive filters.…”
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Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

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Fluid–Structure Interaction Study in Unconventional Energy Horizontal Wells Driven by Recursive Algorithm and MPS Method by Xikun Gao, Dajun Zhao, Yi Zhang, Yong Chen, Zhanzhao Gao, Xiaojiao Zhang, Shengda Wang

“…This study presents a novel bidirectional fluid–structure interaction (FSI) model, uniquely integrating recursive algorithms with the Moving Particle Semi-implicit (MPS) method to couple drill string–wellbore contact with drilling fluid interactions. …”
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Recursive Objective Space Exploration (ROSE): A computationally efficient deterministic approach for bi-objective optimization. by Ihab Hashem, Viviane De Buck, Seppe Seghers, Jan Van Impe

“…In this paper, we propose an alternative strategy that tackles bi-objective optimization problems by exploring the objective space recursively at a reduced computational cost. Our approach is inspired by how plants efficiently explore physical space in search of light energy, balancing exploration and exploitation while minimizing biomass cost. …”
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Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

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Deep learning and support vector machine-recursive feature elimination-based network intrusion detection model by YE Qing, ZHANG Yannian, WU Hao

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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…The study focuses on mitigating the curse of dimensionality by implementing Support Vector Machine – Recursive Feature Elimination (SVM-RFE) as the selected feature selection method in the lung cancer (LUSC) multi-omics dataset integrated from three single omics dataset comprising genomics, transcriptomics and epigenomics, and assess the quality of the selected feature subsets using SDAE and VAE deep learning classifiers. …”
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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…Tahapan pemrosesan awal menerapkan seleksi  fitur melalui recursive feature elimination, dan penyeimbangan data menggunakan teknik  SMOTE. …”
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An Improved Robust Filtering Recursive Algorithm for Stochastic Uncertain Vehicle INS/OD Systems With Anomalous Measurements by Shuang Pan, Chao Wang, Chunlei Zhang, Linping Feng

“…To solve this problem, we propose an improved autonomous vehicular navigation system based on robust filter recursive algorithm for stochastic system with outlier measurements. …”
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O controle das agências reguladoras federais no STF como instância recursal: um estudo empírico by Eduardo Ferreira Jordão, Vinícius Cardoso Reis, Renato Toledo Cabral Jr.

“…Este trabalho é resultado de pesquisa desenvolvida no âmbito do Projeto Regulação em Números, da FGV Direito Rio, buscando compreender se e como o Supremo Tribunal Federal (STF) exerce controle sobre as agências reguladoras federais em instância recursal. Para isso, foram analisados, quantitativa e qualitativamente, todos os 2.896 processos envolvendo agências reguladoras federais no STF cujas demandas foram apreciadas em sede recursal entre 1996 e 2017. …”
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Implementation of Support Vector Machine - Recursive Feature Elimination for MicroRNA Selection in Breast Cancer Classification by Ratih Permatasari, Adi Wibowo

“…Feature selection method can be used to extract important MicroRNAs that support clasification process between normal people and people with breast cancer. Support Vector Recursive Feature Elimination (SVM-RFE) is one of the feature selection method that can be used to select MicroRNA data. …”
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Recursive seed amplification detects distinct α-synuclein strains in cerebrospinal fluid of patients with Parkinson’s disease by Stefan Bräuer, Iñaki Schniewind, Elisabeth Dinter, Björn H. Falkenburger

“…To test this hypothesis, we recursively amplified aSyn fibrils from the cerebrospinal fluid (CSF) of 54 patients (34 people with PD and 20 controls). …”
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Recursive random forest algorithm for constructing multilayered hierarchical gene regulatory networks that govern biological pathways. by Wenping Deng, Kui Zhang, Victor Busov, Hairong Wei

“…For each pathway gene, the BWERF used a random forest model to calculate the importance values of all transcription factors (TFs) to this pathway gene recursively with a portion (e.g. 1/10) of least important TFs being excluded in each round of modeling, during which, the importance values of all TFs to the pathway gene were updated and ranked until only one TF was remained in the list. …”
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