Clustering is one of the basic tasks in machine learning and data mining. Euclidean minimum-sum-of-squares clustering problem is probably the most common clustering model. It consists in finding k cluster centers or r...
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Water quality affects many human activities. Remote sensing is efficient and economical instrument for water monitoring. The paper investigates the problem of choosing an algorithm for Chl-a concentration determinatio...
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Clustering is traditionally one of the basic tools of data analysis widely applied in diverse fields. By now, one of the most common clustering models is the Euclidean minimum-sum-of-squares clustering problem (MSSC)....
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Forest is the most important natural resource of the Baikal natural territory (BNT), which ensures sustainable development of the ecological system of the Lake Baikal, performing water protection, soil protection and ...
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This paper addresses the optimistic statement of one class of bilevel optimization problems (BOPs) with a nonconvex lower level. Namely, we study BOPs with a convex quadratic objective function at the upper level and ...
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The Conflict-Driven Clause Learning algorithms for solving the Boolean satisfiability problem comprise the major part of the methods used to solve various instances of the problems that arise in industry and science. ...
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The article proposes a method based on the use of logical dynamic systems in the classification problem for Boolean vectors (binary feature vectors). This method has practical application in various fields of science ...
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The paper addresses a relevant problem of computation scheduling in scientific applications (distributed applied software packages) executed in distributed environments. Forming an optimal schedule of jobs for executi...
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A constructive logical method for the synthesis of the characteristic matrix of a linear binary dynamical system with a given set of one-point attractors and one-step dynamics of reaching this set from any state is pr...
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The paper represents a prototype of service-oriented tools for developing digital twins. These tools automate most of the stages in preparing and carrying out a computational experiment reducing the possibility of hum...
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