Vision based text entry systems aim to help disabled people achieve text communication
using eye movement. Most previous methods have employed an existing eye tracker to …

Dynamic human activity recognition (HAR) is a domain of study that is currently receiving
considerable attention within the fields of computer vision and pattern recognition. The …

This paper presents a hybrid krill herd (CSKH) approach to solve structural optimization
problems. CSKH improved the Krill herd algorithm (KH) by combining KU/KA operator …

Blockchain is a hash chain with chain structure formed by data blocks in chronological order.
With the promotion of bitcoin, the research and application of blockchain, the underlying …

Urban water quality is of great importance to our daily lives. Prediction of urban water quality
help control water pollution and protect human health. However, predicting the urban water …

In the literature, numerous techniques have proposed to enhance the performance of
tracking the visual objects and each method has its own merits and demerits. For instance …

In the 21st century, the landscape of education has changed dramatically due to the
application of technology in teaching and learning. This is especially true for teaching …

In recent years, object detection and classification has been gaining more attention, thus,
there are several human object detection algorithms being used to locate and recognize …

In this paper, a hybrid approach, which combines back propagation neural network (BPNN),
generalized regression neural network (GRNN) and particle swarm optimization (PSO), is …

Coral reef image classification with the help of its texture features is a challenging task, due
to its variation in class samples. This is achieved with the proposed feature descriptor …