תוצאות חיפוש - problem solving data processing*

A method for determining the size of a population is proposed. The general approach for determining the size of a population follows from the statement that the chromosomes of a population must contain the maximum number of different values that cover most of the search area. The method is based on...

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More and more scenarios require approximate membership queries for incomplete query data, but traditional Bloom filters for membership queries cannot meet these requirements. An approximate membership query algorithm for incomplete data based on Bloom filter is proposed. It first preprocesses the mi...

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Background. Currently at bacterioscopic diagnosis of tuberculosis there is a large number of errors that is associated with a number of problems that can be solved by automated analysis of microscopic images of sputum. Automated image analysis usually consists of several stages: image segmentation a...

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Statistics agencies are the main data provider on the economic position of the macroeconomic level. Most economic decisions on a national scale are based on statistical data. Data processing is a key business process for statistical agencies. At the same time, the quality of statistical data supplie...

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In order to solve the problem that the center position of the belt layer is offset during transmission, a 3D sensor based belt layer deviation correction algorithm is proposed in this paper. Firstly, the contour data collected by 3D sensor is preprocessed to make the data smoother. Secondly, in the...

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Migration methods are traditionally subdivided into two groups depending on carrying out the procedure of summing up the route by the method of common deep point (CDP): before and after summing up (pre- and post-stack migration in English variant). Despite the fact that while processing seismic dat...

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Educational process data offers valuable opportunities to enhance teaching and learning by providing more detailed insights into students’ learning and problem-solving processes. However, its large size, unstructured format, and inherent noise pose significant challenges for effective analysis. Mach...

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This paper is devoted to some of the infrastructural problems of neuroinformatics in the context of existing analog-to-digital systems and high-performance solutions. We surveyed results and analyzed some of the existing methods required in various experiments. Special attention was devoted to the p...

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The article considers methodological aspects of allocation and substantiation of exploration areas for scarce types of ore minerals taking into account the concept of of mineral systems and using Earth remote sensing data with the application of geoinformation and neural network technologies using t...

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Internet of Things (IoT) and more new technologies have brought great convenience to daily life, but they have also raised more data security and privacy protection. To ensure the security of IoT data and user privacy in various scenarios, the federated learning (FL) method is optimized based on fun...

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Objective: to compare modern approaches in law to the use of program codes and algorithms in decision-making that meet the principles of transparency and openness, as well as the increasingly stringent requirements for ensuring the security of personal and other big data obtained and processed algor...

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In complicated geological media mapping of faults according to wave seismic field often becomes difficult. In algorithm of preliminary processing of seismic data spatial summation of traces is present that leads to «corrosion» of exact location of the fault. Automated method is proposed for identif...

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Introduction. This work is aimed at solving the problem of phytoplankton dynamics in the coastal environments using the example of the Azov Sea. This takes into account the transformation of forms of phosphorus, nitrogen and silicon, as well as the aquatic medium motion, the distribution of temperat...

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Urban street scene segmentation is a key technology in the field of intelligent transportation. For the objective factors in the urban street scene environment such as occlusion, small objects, etc. , a DF-SOLO(Data Augmentation and Feature Enhancement SOLO) instance segmentation algorithm of urb...

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Objective: to analyze the current technological and legal theories in order to define the content of the transparency principle of the artificial intelligence functioning from the viewpoint of legal regulation, choice of applicable means of legal regulation, and establishing objective limits to lega...

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Introduction. Conventional contact measurements of hydrographic parameters frequently fail to provide the necessary accuracy of data in the field of water area monitoring. This problem can be solved using coherent radars enabling direct measurements of surface current velocities.Aim. To establish th...

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The problem of strong earthquake forecasting is a pressing issue. This issue has attracted special attention from scientists around the world working in this area. Interesting and encouraging results have been obtained over the past 50 years. Geophysical (geomagnetic, geoelectric, ionospheric),geode...

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Introduction. The basis for research, analysis and mathematical optimization of any chemical process is an adequate mathematical model that takes into account the kinetics of the object. Kinetic analysis is a challenge in chemical technology, since it allows for optimizing synthesis processes and pr...

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Madrasah Tsanawiyah Mishbahul Falah is an educational institution, but in the process of calculating grades it is still classified as manual because technically the subject teacher provides a list of student scores to the principal, then the class teacher copies the student's scores into a repo...

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This study explores the possibility of integrating and retrieving heterogenous data across platforms by using ontology graph databases to enhance educational insights and enabling advanced data-driven decision-making. Motivated by some of the well-known universities and other Higher Education Instit...

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