Titlebook: Mathematical Modeling in Physical Sciences; 12th IC-MSQUARE, Bel Dimitrios Vlachos Conference proceedings 2024 The Editor(s) (if applicable

痛恨

Least Squares for Generalized Gauss–Laplace Distribution of the Error in Certain Nonlinear Regressiontal errors. In the present work, it is proposed to use an iterative algorithm for the calculation of the regression parameters using LS of perpendicular offsets under the assumption of GL distributed error. The method is exemplified on a non-linear regression model.

單調(diào)性

Two-Terminal Reliability of the K4-Ladder—Revisiteder matrices, obtained from recursion: their entries represent probabilities to transit from one state to another when eliminating a K. block. As a consequence, secondary results may be derived more easily—by modifying the initial and targeted states, or by invoking classical results in Markov chain theory.

incontinence

Conference proceedings 2024d in Belgrade, Serbia from August 28–31, 2023. This proceedings offers a compilation of cutting-edge research, which aims to advance the knowledge and development of high-quality research in mathematical fields related to physics, chemistry, biology, medicine, economics, environmental sciences, and

accrete

medieval

Lipoma

Exterior

流動才波動

Optimal PD-PD and State Feedback Control of Underactuated Ball and Beam System with Uncertainty and ngle on the robustness of the system is also examined. MATLAB software is employed to implement and evaluate the performance of the different control methods. The findings contribute to the understanding of how to achieve optimal control of complex systems like the ball and beam system.

粉筆

The Use of Twins in Isotopic Analysisxistence) of the chemical element in the mixture. With another type of twins we can estimate the minimum and maximum contents of element that are possible in the sample. The suggested twin approach covers a very wide application set: the cosmology, global climatology, biology, Earth sciences, forensics sciences,?etc.

沙草紙

Algorithmic Feature Selection and Dimensionality Reduction in Signal Classification Taskses. Subsequently, we conducted a comprehensive performance evaluation by comparing various classifiers applied to the low-dimensional projections. Lastly, we put the feature based classification approach to the test with direct signal classification employing convolutional neural networks.