Pattern classification represents a challenging problem in machine learning and data
science research domains, especially when there is a limited availability of training samples …

Pakistan's economy is largely driven by agriculture, and wheat, mostly, stands out as its
second most produced crop every year. On the other hand, the average consumption of …

Background In digital mammography, finding accurate breast profile segmentation of
women's mammogram is considered a challenging task. The existence of the pectoral …

In disaster situations, collapse of local communication infrastructure is a major issue due to
destruction of buildings, antennas, power sources, and to name a few. Drones, as flying …

Abstract Quantum-dot Cellular Automata (QCA) is pioneer nanotechnology that has been
gained attention in the research community for proposing low power, low area, and highly …

In remote sensing, images have assorted appearances due to fused boundaries, making it
difficult to generate discriminative feature representation for the purpose of conducting …

A new embedded chaotic cryptosystem is introduced herein with the aim to encrypt digital
images and performing speech recognition as an external access key. The proposed …

Hazy image observation is a serious phenomenon occurred by random scattering of
atmospheric elements. This reduces the scene prominence in terms of color contrast and …

Near-field tides prediction for tsunami detection in the coastal area is a significant problem of
the cable-based tsunami meter system in north Sipora, Indonesia. The problem is caused by …

Reconfigurable multivalue logic functions, which can perform the versatile arithmetic
computation of weighted electronic data information, are demonstrated at room temperature …