Innovative information and communication technologies have reformed higher education
from the traditional way to smart learning. Smart learning applies technological and social …

Abstract Design of hardware accelerators for neural network (NN) applications involves
walking a tight rope amidst the constraints of low-power, high accuracy and throughput …

This paper describes a sheep biometric identification system based on facial images. A
machine vision system and deep learning model were developed and applied for animal …

Multi-object tracking in video surveillance is subjected to illumination variation, blurring,
motion, and similarity variations during the identification process in real-world practice. The …

As we are living in the era of big data, huge volumes of a wide variety of complex data-which
can be of different levels of veracity-are generated or collected at a high velocity from rich …

Education 4.0 contemplates the involvement of emerging technologies like IoT (Internet of
Things), Fog and cloud computing. Ubiquitous real-time monitoring in the challenging …

Container virtualization is recognized as indispensable for realizing the vision of edge
computing due to its advantages. However, OS-level virtualization suffers from a relatively …

Real-time Vehicle-of-Interest (VoI) detection is becoming a core application to smart cities,
especially in areas with high accident rates. With the increasing number of surveillance …

Multiobject tracking (MOT) using computer vision on smart cameras has become more
popular owing to its continuously improving performance. However, the number of tracking …

The heterogeneity of modern computing architectures allows software engineers to refine
their algorithms and assign the procedures with peculiar characteristics to the device with …