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The Role of Artificial Intelligence in Improving Failure Mode and Effects Analysis (FMEA) Efficiency in Construction Safety Management output regressor, and focused on three types (multiple output regressor algorithms), namely: Linear
Управление в сфере децентрализованных финансов на основе технологии блокчейн in the context of return on investment (ROI) for DeFi companies. The method of linear regression analysis
Advancements in Coverage Path Planning and Motion Stabilization for Control Object Motion along Designed Paths metaheuristic algorithms and symbolic regression methods. This study addresses a novel problem where
Automatic search of reliability function by symbolic regression of methods of symbolic regression and provides an evolutionary search for the best compositions
Symbolic Regression based Solution for the Optimal Control Problem with Constraints attractors, is solved. To solve the synthesis problem, methods of symbolic regression are used, which
Solution of the optimal control problem by symbolic regression methodThe paper introduces an approach to solve the optimal control problem applying symbolic regression
Using robust regression methods for improve the accuracy of the estimating of observational models parameters). Regression analysis (RA) is widely used in the prediction and assessment of model parameters. For many years
Using symbolic regression techniques for machine learning to control robot movement: Advantages and consSymbolic regression techniques, a prominent facet of machine learning, have garnered attention
Incomplete Least Squared Regression Function Estimator Based on WaveletsIn this paper, we introduce an estimator of the least squares regression function, for Y right
Certain classes of problems on linear conjugation for a two-dimensional vector admitting explicit solutionsWe consider the structure of the set of piecewise meromorphic solutions to the linear conjugation
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