Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …

Advances in the Internet of Things (IoT) and aviation sector have resulted in the emergence
of smart airports. Services and systems powered by the IoT enable smart airports to have …

Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

The 'You Only Look Once'v3 (YOLOv3) method is among the most widely used deep
learning-based object detection methods. It uses the k-means cluster method to estimate the …

Mobile-edge computing (MEC) has emerged as a promising supporting architecture
providing a variety of resources to the network edge, thus acting as an enabler for edge …

Deep learning of artificial neural networks has become the de facto standard approach to
solving data analysis problems in virtually all fields of science and engineering. Also in …

Surveillance frameworks actualized in true environment are strong in nature. As the
environment is uncertain and dynamic, the surveillance turns out to be increasingly …

Video Surveillance plays a pivotal role in today's world. The technologies have been
advanced too much when artificial intelligence, machine learning and deep learning pitched …

Emergency evacuation is viewed as a common strategy adopted during the disaster
preparedness stage of evacuation to ensure the safety of potentially affected populations. In …

The growth and development of generative organs of the tomato plant are essential for yield
estimation and higher productivity. Since the time-consuming manual counting methods are …