Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

It will be practically useful to know the mechanical properties of granular materials by only
taking a photo of particles. This study attempts to deal with this challenge by developing a …

Microseismic monitoring system is one of the effective methods for deep mining geo-stress
monitoring. The principle of microseismic monitoring system is to analyze the mechanical …

The computational fluid dynamics (CFD) simulation method is commonly used for large-
scale computational engineering problems. However, it usually leads to higher …

While storing invoice content as metadata to avoid paper document processing may be the
future trend, almost all of daily issued invoices are still printed on paper or generated in …

To identify all desired shape parameters of granular particles with less computational cost,
this study proposes a three‐dimensional convolutional neural network (3D‐CNN) based …

In this paper we propose a CNN classifier base on image bit-plane slicing. The purpose is to
improve recognition accuracy when we apply it to breast cancer images classification. Each …

Understanding soil properties and behaviours are fundamental to geotechnical design.
Myriad empirical and analytical models have been proposed for prediction accordingly but …

Zero-shot learning (ZSL) aims to recognize new objects that have never seen before by
associating categories with their semantic knowledge. Existing works mainly focus on …

The following paper presents an algorithm for sorting up to 5 different tools based on deep
learning and specifically in a convolutional neural network, according to the top in pattern …