Using logical clauses to represent patterns, Tsetlin machines (https://arxiv.org/abs/1804.01508) have obtained competitive performance in terms of accuracy, memory ...

Abstract: Problem exists to effectively learn technical topics requiring sound mathematical practices. Especially in engineering domain, detailed mathematical illustrations sometimes robs the time of ...

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...

Abstract: In industrial processes, data-driven soft sensors have played an important role for the effective process control, optimization, and monitoring. Deep learning technique has been widely used ...

Three-dimensional (3D) liver tumor segmentation from Computed Tomography (CT) images is a prerequisite for computer-aided diagnosis, treatment planning, and monitoring of liver cancer. Despite many ...

Chromosomes are compactly folded in nuclei, and their specific 3D structures play a role in the regulation of gene expression. While cell type specificity of gene regulation has been revealed through ...

Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods that are used in the ...