The idea of the method is to localize the nonregularities peculiar to fast algorithms for other trigonometric transforms into the nodes of the Cooley-Tukey FFT type computational graph. Only the basic ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

Graphs and networks are powerful tools for representing connections or relationships between objects or people. They belong to a branch of mathematics called graph theory which is quite distinct from ...

Abstract: Sine-Cosine algorithm (SCA) is an optimization algorithm formulated based on mathematical Sine and Cosine terms. It is widely used to solve various optimization problems. However the ...

Finding the shortest path in a network can sometimes be done by inspection, particularly when the network is simple. However, as the complexity of the network increases, a more systematic approach is ...

With the emergence of advanced machine learning, graph-guided neural networks have gained attention for their unique ability to represent structured data and relationships among process variables. By ...

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Part of a journal that advances our understanding across the earth sciences, this section explores theoretical and applied research in remote sensing, geophysical, and analogue and modelling approa ...