The fuzzy logic system is used to approximate the unknown nonlinear function, and the tan-type barrier technique ... Finally, the efficacy of the proposed method is exemplified via a simulation ...

Abstract: The prescribed-time semi-global control for a class of time-varying uncertain systems under a nonlinear growth condition is achieved via linear time-varying feedback ... properties of ...

Still, laying off every librarian but the dean raises new questions: Can a library function without librarians ... Bowers Sharpe, for example, serves as a liaison to certain departments outside ...

This paper presents an Automated Biomedical Document Summarization using Dwarf Mongoose Optimization with Graph Attention Networks (ABDS-DMOGAN ... agent is calculated based on the defined objective ...

1 Laboratory of Nonlinear Analysis ... the maximum principle even for the model case of linear two- dimensional fourth-order hyperbolic equations with constant coefficients and homogeneous symbol ...

Here we have an example data with 100 samples and 8 classes of member. Due to the number of samples and classes, it is very hard to discern anything from this graph without optimizing the order of ...

In the same example as stated above, if the user wants to extract the first 7 characters from ‘The Windows Club’, he may use the ‘LEFT’ function as: f(x)=LEFT (A3, 7) The output of the ...

For example ... line on a graph. Linear regression is easy to interpret, computationally efficient, and works well with linear relationships. However, it struggles with complex, nonlinear data ...

A linear model is a function that has a constant rate of change, meaning that the output changes by the same amount for any given change in the input. For example, y = 2x + 5 is a linear model ...