US developers Vesper Energy, rPlus Energies and Matrix Renewables have announced a number of project advancements in the US ...
Abstract: Neural networks have received a lot of attention in recent years. However, neural networks are rarely used in the construction industry, especially for the risk assessment of new projects ...
Abstract: In this study, we investigate the application of the stochastic path integral (SPI) for 2-D magnetotelluric (MT) modeling. Our goal is to assess whether electromagnetic (EM) numerical ...
Spot is a Matlab toolbox for the construction, manipulation, and application of linear operators. The aim of the Spot Toolbox is to bring the expressiveness of Matlab's built-in matrix notation to ...
We propose a scalable manifold learning (SUDE) method that can cope with large-scale and high-dimensional data in an efficient manner. It starts by seeking a set of landmarks to construct the ...
Simultaneous profiling of multi-omics single-cell data represents exciting technological advancements for understanding cellular states and heterogeneity. Cellular indexing of transcriptomes and ...