They can represent individual data points as 1D arrays, manage matrices as 2D arrays for image recognition or text processing, and even handle higher-dimensional data like video or time-series data.

Without tensors it would not be possible for neural networks to function. Tensors represent multi-dimensional data points, for example as one-dimensional, two-dimensional, three-dimensional or more.

In this paper, we will present an extension of the Unified Modeling Language (UML) using a UML profile to represent multidimensional and security aspects of our conceptual modeling. Our approach ...

Abstract: A monolithic two-dimensional horn imaging array has been fabricated for millimeter wavelengths. In this configuration, a dipole is suspended in an etched pyramidal cavity on a 1- mu m ...

Here, we present a facile method for synthesizing 2-D hexagonally patterned gold nanoparticle arrays on centimeter-sized substrates of mesoporous silica thin films with vertical nanochannels by ...

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate ...

Contribute to Dael-uic/-Dael-Multidimensional-Array-Multiplication-Matrix development by creating an account on GitHub.

Thematic Unit of Excellence on Nanodevice Technology and Department of Condensed Matter Physics and Material Sciences, S. N. Bose National Centre for Basic Sciences, Block JD, Sector III, Salt Lake, ...