Anomaly detection using edge computing in video surveillance system

DR Patrikar, MR Parate - International Journal of Multimedia Information …, 2022 - Springer
The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

A review of modern approaches of digitalization in oil and gas industry

S Al-Rbeawi - Upstream Oil and Gas Technology, 2023 - Elsevier
This paper introduces a review of the modern approaches of digitalization in the oil and gas
industry. The objective is understanding the current applications of the traditional …

Privacy-Preserving and Traceable Federated Learning for data sharing in industrial IoT applications

J Chen, J Xue, Y Wang, L Huang, T Baker… - Expert Systems with …, 2023 - Elsevier
Federated learning enables data owners to jointly train a neural network without sharing
their personal data, which makes it possible to share sensitive data generated from various …

Deep reinforcement learning for vision-based navigation of UAVs in avoiding stationary and mobile obstacles

AP Kalidas, CJ Joshua, AQ Md, S Basheer, S Mohan… - Drones, 2023 - mdpi.com
Unmanned Aerial Vehicles (UAVs), also known as drones, have advanced greatly in recent
years. There are many ways in which drones can be used, including transportation …

Deep learning and handcrafted features for one-class anomaly detection in UAV video

A Chriki, H Touati, H Snoussi, F Kamoun - Multimedia Tools and …, 2021 - Springer
Visual surveillance systems have recently captured the attention of the research community.
Most of the proposed surveillance systems deal with stationary cameras. Nevertheless …

Uav-based surveillance system: an anomaly detection approach

A Chriki, H Touati, H Snoussi… - 2020 IEEE Symposium …, 2020 - ieeexplore.ieee.org
Recent advancements in avionics and electronics systems led to the increased use of
Unmanned Aerial Vehicles (UAVs) in several military and civilian missions. One of the main …

U-SSD: Improved SSD based on U-Net architecture for end-to-end table detection in document images

SH Lee, HC Chen - Applied Sciences, 2021 - mdpi.com
Tables are an important element in a document and can express more information with
fewer words. Due to the different arrangements of tables and texts, as well as the variety of …

A feedforward neural network for drone accident prediction from physiological signals

MN Sakib, T Chaspari, AH Behzadan - Smart and sustainable built …, 2021 - emerald.com
Purpose As drones are rapidly transforming tasks such as map** and surveying, safety
inspection and progress monitoring, human operators continue to play a critical role in …

Testing the efficiency of laser technology to destroy the rogue drones

MZ Chaari, S Al-Maadeed - Security and Defence Quarterly, 2020 - ceeol.com
A large body of research shows the increasing numbers of drones attacks despite RF
jammer systems and other technologies. This incredible increase in drone attacks means …

ADVANCES IN RESEARCH ON THE USE OF DRONES IN PRODUCTION AND TRANSPORTATION ENGINEERING IN THE HYDROCARBONS INDUSTRY: A …

L ROMÁN-PIEDRA, J SOLÓRZANO… - WIT Transactions on …, 2023 - witpress.com
Unmanned aerial vehicles are considered a part of emerging technologies designed to
facilitate, improve, and transform the operational efficiency of industries with significant …