Search Results - data processing methods

BiLSTM with Data Augmentation using Interpolation Methods to Improve Early Detection of Parkinson Disease by Robertas Damaševičius, Olusola Abayomi-Alli, Rytis Maskeliūnas, Adebayo Abayomi-Alli

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DATA MINING AND STATISTICS METHODS USAGE FOR ADVANCED TRAINING COURSES QUALITY MEASUREMENT: CASE STUDY by Maxim I. Galchenko, Alexander G. Gushchinskij

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Modification of an automatic method for extracting causal relationships based on templates and a Bayesian classifier by Н. В. Shtanchaev, Z. T. Mugutdinov

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Data-Efficient Sowing Position Estimation for Agricultural Robots Combining Image Analysis and Expert Knowledge by Shuntaro Aotake, Takuya Otani, Masatoshi Funabashi, Atsuo Takanishi

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DYNAMIC METHOD OF LOAD BALANCING OF DATA CENTERS TAKING INTO ACCOUNT THE FRACTAL PROPERTIES OF NETWORK TRAFFIC by G. I. Linets, N. Y. Bratchenko, V. P. Mochalov, I. S. Palkanov

“…The methods and models presented in the work can be applied in existing data processing centers to increase their productivity and improve the quality of implementation of information services.…”
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Diffusion magnetic resonance imaging data: development of methods and tools for diagnosis and treatment of brain diseases by K. A. Urazova, G. E. Gorlachev, A. P. Chernyaev, A. V. Golanov

“…Since the problem of developing software for diffusion MRI data remains relevant, this review presents our own experience in developing an application as part of a project on creating effective methods for processing diffusion MRI data and modeling white matter tracts.…”
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Efficient Method of Road Outlier Recognition Using Deep Learning Coupled with Data Augmentation Approach by Sarfaraz Natha, Fareed Ahmed Jokhio, Muhammad Shafique, Naeem Ahmed, Danish Munir Arain

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Research on Data Transfer Method for Multi-physics Coupling Based on Unstructured Mesh Monte Carlo by LI Rui1, LIU Shichang1, , WANG Lipeng2, WANG Zhenyu1, CHEN Yixue1

“…Among these, the neutronic-thermal-mechanical coupling and neutronic-thermal-fluid coupling analyses have a significant impact on the reactor design. In addressing the data transfer issues in the multiphysics coupling process of reactors, this study employs a hybrid approach that integrates unstructured mesh (UM) Monte Carlo with finite element methods. …”

Monitoring the relationship of diversification processes of large enterprises with national projects by D. V. Abramov

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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

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Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai by V. A. Nevzorova, T. A. Brodskaya, K. I. Shakhgeldyan, B. I. Geltser, V. V. Kosterin, L. G. Priseko

“…The χ2, Fisher and MannWhitney tests, univariate logistic regression (LR) were used for data processing and analysis. To build predictive models, we used following machine learning (ML) methods: multivariate LR, Weibull regression, and stochastic gradient boosting.Results. …”
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THE PROBLEM OF PARAMETRIC SYNTHESIS OF SYSTEMS TO ENSURE DATA INTEGRITY IN INFORMATION SYSTEMS AND METHOD FOR ITS SOLUTION by Gennady A. Berketov, Andrey A. Mikrukov, Anatoly P. Tsurkin

“…In the article the mathematical model of the recovery process data in information systems is considered. …”
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Digital Data Encryption Using a Proposed W-Method Based on AES and DES Algorithms by Wisam Abed Shukur, Luheb Kareem Qurban, Ahmed Aljuboori

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ABOUT THE METHOD OF GATING SYSTEMS ANALYSIS BASED ON MODELING DATA OF SPATIAL IMAGES TEMPERATURES OF MELT by S. Lihouzov, A. Chichko, V. Sobolev, T. Matjushinec, O. Sachek, O. Chichko

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Semi-Supervised Fault Diagnosis Method for Hydraulic Pumps Based on Data Augmentation Consistency Regularization by Siyuan Liu, Jixiong Yin, Zhengming Zhang, Yongqiang Zhang, Chao Ai, Wanlu Jiang

“…Due to the scarcity of labeled samples, the practical engineering application of deep learning-based hydraulic pump fault diagnosis methods is extremely challenging. This study proposes a semi-supervised learning method based on data augmented consistency regularization (DACR) to address the issue of lack of labeled data in diagnostic models. …”
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The challenges of replication: A worked example of methods reproducibility using electronic health record data. by Richard Williams, Thomas Bolton, David Jenkins, Mehrdad A Mizani, Matthew Sperrin, Cathie Sudlow, Angela Wood, Adrian Heald, Niels Peek, CVD-COVID-UK/COVID-IMPACT Consortium

“…Our aim is to identify the barriers to methods reproducibility for replication studies using EHR data.…”
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Comparison of brain activity metrics in Chinese and Russian students while perceiving information referencing self or others by Q. Si, J. Tian, V. A. Savostyanov, D. A. Lebedkin, A. V. Bocharov, A. N. Savostyanov

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Adaptive multi classifier traffic data interpolation model based on information entropy by Yunkai ZHANG, Jin GAO, Qing LI, Xu WANG

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SMQVP: A Web Application for Spatial Metabolomics Quality Visualization and Processing by Zhanlong Mei, Wan Sun, Yun Zhao, Haoke Deng, Xiaolian Ning, Chunlu Feng, Jin Zi

“…Methods: To address these limitations, we present Spatial Metabolomics data Quality Visualization and Processing (SMQVP v1.0), a novel software with a user-friendly graphical interface designed for the systematic quality assessment and preprocessing of spatial metabolomics data. …”
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Comparative analysis of software optimization methods in context of branch predication on GPUs by I. Yu. Sesin, R. G. Bolbakov

“…General Purpose computing for Graphical Processing Units (GPGPU) technology is a powerful tool for offloading parallel data processing tasks to Graphical Processing Units (GPUs). …”
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