The intelligent use of deep learning (DL) techniques can assist in overcoming noise and
uncertainty during fingerprinting-based localization. With the rise in the available …

Introduction During the last few years, a heightened interest has been shown in classifying
scene images depicting diverse robotic environments. The surge in interest can be attributed …

Hyperspectral Imagery (HSI) data analysis and processing is an emerging topic in the arena
of remote sensing and earth observation technology. Recently land cover deep learning …

Abstract In recent years Artificial Intelligence (AI) models have gained applications in various
fields. A wave of Machine Learning (ML) and AI is happening as the domination of edge …

Indoor navigation solutions are essential for navigating within the building where GPS
based solutions cannot be used. The applications of indoor navigations are robotics, drones …

Machine learning technologies, especially deep convolution neural network (CNN), play an
important role in image classification tasks. However, performing image classification tasks …

Accepted: 26 July 2022 Indoor scene recognition is complex due to the commonality shared
between different spaces. Still, when it comes to robotics applications, the uncertainty …

Building new systems used for indoor sign recognition and indoor wayfinding assistance
navigation, especially for blind and visually impaired persons, presents a very important …

In this paper, we propose AnoVid, an automated video annotation tool based on deep
neural networks, that automatically generates various meta data for each scene or shot in a …

In this paper, we propose AnoVid, an automated video annotation tool based on deep
neural networks, that automatically generates various meta data for each scene or shot in a …