This paper reviews different steps in an automated sign language recognition (SLR) system.
Developing a system that can read and interpret a sign must be trained using a large dataset …

Abstract Background and Aims Light interception is closely related to canopy architecture.
Few studies based on multi-view photography have been conducted in a field environment …

With the speedy development of e-commerce, a growing number of customers tend to share
their subjective perceptions of the product or service on the Internet. This phenomenon …

Coal is heterogeneous in nature, and thus the characterization of coal is essential before its
use for a specific purpose. Thus, the current study aims to develop a machine vision system …

Steel fiber reinforced self-compacting concrete (SFRSCC) is a special type of concrete that
is widely researched in literature due to its superior properties. As it is difficult to provide its …

This article presents a novel technique for automatic archaeological sherd classification.
Sherds that are found in the field usually have little to no visible textual information such as …

This study describes the classification of four varieties of bulk rice grain images using back‐
propagation neural network (BPNN). Eighteen colour features, 27 texture features using …

Color classification of wooden boards is helpful to improve the appearance of wooden
furniture that is spliced from multiple wooden boards. Due to the similarity of colors among …

Content based image classification is a vital component of machine learning and is attaining
increasing importance in the field of image processing. This paper has carried out …

Motor imagery (MI) based electroencephalogram (EEG) signals are a widely used form of
input in brain computer interface systems (BCIs). Although there are a number of ways to …