The one-dimensional array is considered one of the simplest forms of arrays, known for its ease of use and definition in programming. This type of array is particularly practical as a data structure because it allows for straightforward initialization and modification of the stored values. Declarati...
in a user interface on a display associated with a computing device, where the first file is included in a first folder included in a folder structure stored in a memory included within the computing device, and the second file is included in a second folder included in the folder structure...
Building a quantum computer with a one-dimensional (1D) architecture, instead of the typical two-dimensional (2D) layout, could be significantly less difficult experimentally. However such a restricted topology necessitates a large overhead for shuffling
Here, we demonstrate an improved round-trip efficiency of ~80% by means of a mesoporous carbon electrode, which directs the growth of one-dimensional and amorphous lithium peroxide. Morphologically, the one-dimensional nanostructures with small volume and high surface show improved charge transport ...
One-dimensional (1D) ZnO nanostructures have been studied intensively and extensively over the last decade not only for their remarkable chemical and physical properties, but also for their current and future diverse technological applications. This article gives a comprehensive overview of the progress ...
PDFAnalyze.m: Computes a probability density estimate for a one-dimensional data sample and produces optional plots for analysis. (Calls EstimatePDF.mex function, which can also be called directly) Please cite at least one of these publication if you use this code for your research: Jenny, F...
[ 0.]]),'b2': np.array([[ 0.]])}returnX_assess, parametersdefcompute_cost_test_case(): np.random.seed(1) Y_assess= np.random.randn(1, 3) parameters= {'W1': np.array([[-0.00416758, -0.00056267], [-0.02136196, 0.01640271], ...
If you’re working with high-dimensional data, consider dimensionality reduction to simplify the problem and speed up the training process. You can specify more features and parameters for your model to interpret if you have time to let it train longer. So giving your algorithm more time to ...
Off-chip beam steering with a one-dimensional optical phased array on silicon-on-insulator A silicon-on-insulator (SOI) chip structure with a substrate-embedded optical waveguide is disclosed. Also disclosed is a method of forming the SOI chip st... K Van Acoleyen,W Bogaerts,J Jágerská,....
Especially, learning task-based representations can achieve better performance on high-dimensional data. One of the most representative achievements is the method based on the Siamese network proposed by Koch et al.26 which rank the similarity between inputs and perform classification recognition. The ...