Search Results - data processing methods

Multitaper Magnitude‐Squared Coherence for Time Series With Missing Data: Understanding Oscillatory Processes Traced by Multiple Observables by Sarah E. Dodson‐Robinson, Charlotte Haley

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The New Method for Determining the Composition of Wood Gas Produced in Gas Generators of the Inverted Gasification Process by E. M. Kashin, V. N. Didenko

“…The article presents a new method for determining the composition of wood generator gas produced in gas generators of the inverted gasification process. …”
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Investigation of the Carbon Dioxide Centrifugal Compressor Working Process using Computational Fluid Dynamics Methods by Fateeva E.S., Danilishin A.M., Kozhukhov Y.V., Kazantsev R.A.

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Spatial distribution estimation by considering the cross-correlation between components with indirect data using Gaussian process regression by Yuto Tsuda, Ikumasa Yoshida, Shinichi Nishimura

“…To rationally estimate the spatial distribution of soil properties, it is preferable to effectively use all available measurement data, including indirect data. We propose a Gaussian process regression with multiple random fields that considers the cross-correlation between one of the random fields of direct data and indirect data, and show the application to simulated data and actual measured data. …”
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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…Therefore, imputing missing values is necessary to maintain the integrity and utility of the SHM data. This research work investigates the use of Gaussian Process Regression (GPR) for imputing missing data in ordered time series. …”
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Adjoint‐Based Marker‐In‐Cell Data Assimilation for Constraining Thermal and Flow Processes From Lagrangian Particle Records by Atsushi Nakao, Tatsu Kuwatani, Shin‐ichi Ito, Hiromichi Nagao

“…These Lagrangian particles can be useful for constraining unknown parameters, such as their sources and the thermal and flow processes of the surrounding fluid. To use information about Lagrangian particles to constrain unknown parameters about the surrounding fluid in an inverse manner, we have developed a 4D‐Var (four‐dimensional variational) data assimilation for thermal convection in a particle‐grid coupled system. …”
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Research of physical and chemical processes associated with corrosion of cements (“Caking”) in dampy wet air by A. A. Krutilin, T. V. Krapchetova, N. A. Inkova, O. K. Pakhomova

“…The paper is aimed at clarifying the mechanism and kinetics of the processes leading to cement caking. Methods. To determine phase composition, the following modern physical and chemical methods were used: XRF, derivatography and electron microscopy. …”
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Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment by Ashutosh Sarangi, Sailesh Kumar Raula, Sohamdev Ghoshal, Swadhin Kumar, Chinta Sai Kumar, Neelamadhab Padhy

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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…This paper introduces the League of Legends Match Data Compactor (LoL-MDC), a tool designed to transform extensive match data into a concise and structured format optimized for LLM processing. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…The method comprises five modules: data preprocessing, basic feature processing, exploratory data analysis, key feature extraction, and data visualization. …”
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THE INNOVATIVE TECHNIQUES IN HIGHER EDUCATION PROCESS IN AZERBAIJAN by Samira Huseyn qizi Abasova

“…The following research methods were employed such as the observation method, data grouping, statistical analysis, and data comparison. …”
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Shallow velocity model from the transient electromagnetic method data: results of application in Eastern and Western Siberia by I. A. Shelokhov, I. V. Buddo, A. S. Smirnov, A. A. Piyankov, N. V. Tatiyanin

“…The approach based on the original method of restoring the elastic-velocity characteristics from the data of transient electromagnetic method (TEM) in the near field zone.Research devoted to test the methodology of the shallow section velocity model calculation based on TEM data in a number of fields in Eastern and Western Siberia. …”
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Comparison on two different methods for assessment of population fertility of the Okhotsk herring on the data of standard roe survey by A. A. Dulenin, P. A. Dulenina, V. V. Sviridov

“…Besides, the standard method for data processing of the roe diving surveys is based on a number of non-formalized subjective assessments and assumptions that cannot ensure verification of the survey results. …”
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Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study by Mohammed A Almanna, Lior M Elkaim, Mohammed A Alvi, Jordan J Levett, Ben Li, Muhammad Mamdani, Mohammed Al‑Omran, Naif M Alotaibi

“…ObjectiveThis study aims to explore the public perception of BCI technology by examining posts on X (formerly known as Twitter) using natural language processing (NLP) methods. MethodsA mixed methods study was conducted on BCI-related posts from January 2010 to December 2021. …”
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A Progressive Noise Removal Method for ICESat-2 Data Based on Terrain Slope Adaptive Calculation by Z. Hui, Z. Hui, Z. Hui, L. Zhang, L. Zhang, L. Zhang, Y. Chen, P. Cheng, P. Cheng, P. Cheng, Y. Xia, Y. Xia, Y. Xia, T. Hui, Z. Huang

“…Therefore, the removal of this noise is a crucial step in processing the ICESat-2 data further. This paper proposes a novel noise removal method based on adaptive terrain slope calculation to address this issue. …”
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Statistical Analysis Method for Optimal Prameters of Telemetry Communication by XIE Jun, WU Sailong, HAO Hang, ZHANG Songwei, WU Ruiqing, SUN Xiangyang

“…In addition, the proposed method completes a parameter optimization time of merely 0.08 seconds when processing 350 000 logging data points, demonstrating significant superiority over the existing optimization method based on machine learning and genetic algorithm. …”
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Hierarchical data modeling: A systematic comparison of statistical, tree-based, and neural network approaches by Marzieh Amiri Shahbazi, Nasibeh Azadeh-Fard

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Vehicle Network Beamforming Method Based on Multimodal Feature Fusion by Jiali NIE, Yuanhao CUI, Di ZHANG, Ronghui ZHANG, Junsheng MU, Xiaojun JING

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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

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Data Processing Technology for the Forecasting of the Water Inflow into a Reservoir with the Use of Earth Remote Sensing and the Network of Meteorological and Hydrological Posts by Eroshenko S.A., Matrenin P.V., Khalyasmaa A.I., Klimenko D.E., Sidorova A.V.

“…However, the problem arises of combining the specified heteroge-neous data for aggregated processing with the use of machine learning methods. …”
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