Anomaly detection using edge computing in video surveillance system
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 …
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 …
industry. The objective is understanding the current applications of the traditional …
Privacy-Preserving and Traceable Federated Learning for data sharing in industrial IoT applications
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 …
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
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 …
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
Visual surveillance systems have recently captured the attention of the research community.
Most of the proposed surveillance systems deal with stationary cameras. Nevertheless …
Most of the proposed surveillance systems deal with stationary cameras. Nevertheless …
Uav-based surveillance system: an anomaly detection approach
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 …
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 …
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
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 …
inspection and progress monitoring, human operators continue to play a critical role in …
Testing the efficiency of laser technology to destroy the rogue drones
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 …
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 …
facilitate, improve, and transform the operational efficiency of industries with significant …