The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Vast amount of data available in health care industry is difficult to handle, hence mining is
necessary to find the necessary pattern and relationship among the features available …

This paper offers a hybrid approach that uses the artificial bee colony (ABC) algorithm for
feature selection and support vector machines for classification. The purpose of this paper is …

Medical Expert Systems is an active research area where data analysts and medical experts
are continuously collaborating to make these systems more accurate and therefore, more …

The amount of feed dispense to match fish appetite plays a significant role in increasing fish
cultivation. However, measuring the quantity of fish feed intake remains a critical challenge …

The quality and quantity of agricultural products is being affected by numerous plant
diseases. With the advent of the fourth industrial revolution, detection of plant diseases using …

With advanced data analysis techniques, efforts for more accurate decision support systems
for disease prediction are on the rise. According to the World Health Organization, diabetes …

In this paper, the exponential stabilization of delayed complex-valued neural networks
(DCNNs) is addressed via sampled-data control. First, aperiodic sampled-data control …

One of the challenges in the operation of Unmanned Aerial Vehicle (UAV) is power
optimization under different operation mode. In solving the aforementioned problem …

This paper proposes a hybrid technique that applies artificial bee colony (ABC) algorithm for
the feature selection and combined k-nearest neighbor (k-NN) with genetic algorithm (GA) …