Search Results - data processing methods
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301
Diagnostics of biological compounds by optical resonator matrices
Published 2019-06-01“…The mechanism of biochemical compounds diagnostics using matrices based on optical resonance in closed dielectric microcavities is discuss in this paper. A method for sensor fabrication, interrogation of the optical elements as well as approach for spectral data processing are represented. …”
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302
An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language
Published 2019-06-01“…This method demonstrated improved accuracy of data collected, reduced data processing time and arranged data to the willing model.…”
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303
Automated method for determination of geological horizons nonconformity according to three-dimensional seismic data
Published 2019-12-01“…In algorithm of preliminary processing of seismic data spatial summation of traces is present that leads to «corrosion» of exact location of the fault. …”
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RESEARCH AND DEVELOPMENT OF METHODS FOR ENDOSCOPIC (MEDICAL) IMAGES ENHANCEMENT
Published 2019-04-01“…For implementation of the research were used open endoscopic image data-bases, by the instrumentality of which, as a result of modeling and experiment, were evaluated quality characteris-tics of the proposed method.Results. …”
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Water Microelement Composition Influence on the Efficiency of the Milk Powder Dissolution Process
Published 2019-04-01“…In this connection, there is a need to generalize the existing theoretical and practical foundations of this process and find ways to further improve them. Analysis of scientific and technical material in this area showed, that a number of scientists proposed various descriptions not only of individual stages, but also of the dissolution process as a whole, and its determining factors were identified, mathematical models were built, making it possible to determine critical areas depending on from the properties of the raw materials and the process, data were obtained on the parameters of the system during the dissolution of dry dairy products.In the article presents the sanitary and hygienic, physicochemical and organoleptic require-ments for drinking water by Russian legislation, international organizations and national standards of a number of countries.Presented a review of widely used and promising water treatment methods.Analyzed data, describing the effect of the microelement water composition on the efficiency of milk powder dissolving process. …”
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308
Social Intelligence Mining: Transforming Land Management with Data and Deep Learning
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309
Data Hiding Method Based on Graph Coloring and Pixel Block‘s Correlation in Color Image
Published 2017-12-01“…In theproposed algorithm, during graph explanation, independent pixels placed side by side were colored.Then, based on “pixel block correlation data hiding” process is done. This method grows thesecurity and capacity of hiding process. …”
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310
Secure Data Collection Method Based on Quantum Encryption Algorithm for Power IoT Gateway
Published 2025-06-01“…In order to realize the secure and high-efficiency collection of electric power IoT gateway data, the secure collection method of electric power IoT gateway data based on quantum encryption algorithm is proposed. …”
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The method of increasing the information content of microfocus X-ray images
Published 2021-12-01“…A method for processing microfocus X-ray images is described. …”
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A Comparative Study of Unsupervised Deep Learning Methods for Anomaly Detection in Flight Data
Published 2025-07-01“…This paper provides a comparative study of unsupervised Deep Learning (DL) methods for anomaly detection in Flight Data Monitoring (FDM). …”
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313
A Small-Sample Scenario Optimization Scheduling Method Based on Multidimensional Data Expansion
Published 2025-06-01“…Therefore, this paper proposes a small-sample scenario optimization scheduling method based on multidimensional data expansion. Firstly, based on spatial correlation, the daily power curves of PV power plants with measured power are screened, and the meteorological similarity is calculated using multicore maximum mean difference (MK-MMD) to generate new energy output historical data of the target distributed PV system through the capacity conversion method; secondly, based on the existing daily load data of different types, the load historical data are generated using the stochastic and simultaneous sampling methods to construct the full historical dataset; subsequently, for the sample imbalance problem in the small-sample scenario, an oversampling method is used to enhance the data for the scarce samples, and the XGBoost PV output prediction model is established; finally, the optimal scheduling model is transformed into a Markovian decision-making process, which is solved by using the Deep Deterministic Policy Gradient (DDPG) algorithm. …”
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314
Dataset on cognitive distortions for text classification in Indonesian languageMendeley Data.
Published 2025-08-01“…To address the relatively small number of samples in certain distortion classes, data augmentation was performed using the back-translation method. …”
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315
Parallel construction of binary tree based on sorting
Published 2018-12-01“…The work objective is to develop and study ways of accelerating the process of organizing and transforming the tree-like data structures on the basis of the stable maximum parallel sorting algorithms for their application to the basic operations of information retrieval on databases.Materials and Methods. …”
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Handbook of statistics, vol. 1-9.
Published 1980Subjects: “…Mathematical statistics Data processing.…”
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The forecasting of operating results of fish processing enterprises: problems and methodological approaches to their solving
Published 2019-12-01“…The research required quite a deep study of the character and peculiarities of the dynamics of the indexes of daily revenue and preparation of the data for modeling. While studying the regularities of interdependent dynamics of the indexes of revenue and environmental temperature the number of important conclusions were received that consequently defined the methods of building of the regression model and the order of calculation of the forecasting levels. …”
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Estimating the Parameters of Laser Processing of Diamonds Using the Finite Element Method and Artificial Neural Networks
Published 2023-08-01“…This paper provides the simulation of laser processing of diamonds by using a combination of artificial neural networks and the finite element method. …”
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320