Results 51 to 60 of about 202,379 (215)

Lightweight Drone-to-Ground Station and Drone-to-Drone Authentication Scheme for Internet of Drones

Symmetry
The implementation of the Authentication and Key Agreement (AKA) protocol in the Internet of Drones (IoD) is crucial for enhancing the security and reliability of information transmission. However, almost all existing authentication protocols between drones and Ground Station (GS) may suffer from several attacks due to capture attacks. In addition, the
Qi Xie, Jilin Zhang
openaire   +1 more source

A Survey on Air-Gap Attacks: Fundamentals, Transport Means, Attack Scenarios and Challenges

Sensors, 2023
Major public institutions and organizations that handle sensitive data frequently enforce strong security policies by implementing network separation policies that segregates their internal work networks and internet network using air gaps to prevent the
Jangyong Park, Jaehoon Yoo, Jaehyun Yu, Jiho Lee, JaeSeung Song   +4 more
doaj   +1 more source

Building Height Using the UAS DJI Phantom 3 and Drone2Map Software [PDF]

, 2017
At Stephen F. Austin State University, the Arthur Temple College of Forestry and Agriculture has invested in the most current drone technology in order to keep up with the new trends in Geographic Information System (GIS).
Busch-Peterson, Kai, Fong, Chandler
core   +1 more source

LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms [PDF]

, 2021
Mehran Behjati, Aishah Binti Mohd Noh, Haider A. H. Alobaidy, Muhammad Aidiel Zulkifley, Rosdiadee Nordin, Nor Fadzilah Abdullah   +5 more
openalex   +1 more source

Data Fusion and Ensemble Learning for Advanced Anomaly Detection Using Multi-Spectral RGB and Thermal Imaging of Small Wind Turbine Blades

Energies
This paper introduces an innovative approach to Wind Turbine Blade (WTB) inspection through the synergistic use of thermal and RGB imaging, coupled with advanced deep learning techniques.
Majid Memari, Mohammad Shekaramiz, Mohammad A. S. Masoum, Abdennour C. Seibi   +3 more
doaj   +1 more source

Desert/Forest Fire Detection Using Machine/Deep Learning Techniques

Fire, 2023
As climate change and human activity increase the likelihood of devastating wildfires, the need for early fire detection methods is inevitable. Although, it has been shown that deep learning and artificial intelligence can offer a solution to this ...
Mason Davis, Mohammad Shekaramiz
doaj   +1 more source

Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification [PDF]

, 2022
Waleed Albattah, Momina Masood, Ali Javed, Marriam Nawaz, Saleh Albahli   +4 more
openalex   +1 more source

Approximate Image-Space Multidirectional Occlusion Shading Model for Direct Volume Rendering

Applied Sciences, 2021
Understanding and perceiving three-dimensional scientific visualizations, such as volume rendering, benefit from visual cues produced by the shading models.
Yun Jang, Seokyeon Kim
doaj   +1 more source

Dynamic Base Station Repositioning to Improve Spectral Efficiency of Drone Small Cells

, 2017
With recent advancements in drone technology, researchers are now considering the possibility of deploying small cells served by base stations mounted on flying drones. A major advantage of such drone small cells is that the operators can quickly provide
Ding, Ming, Fotouhi, Azade, Hassan, Mahbub   +2 more
core   +1 more source

Computer Vision-Based Path Planning with Indoor Low-Cost Autonomous Drones: An Educational Surrogate Project for Autonomous Wind Farm Navigation

Drones
The application of computer vision in conjunction with GPS is essential for autonomous wind turbine inspection, particularly when the drone navigates through a wind farm to detect the turbine of interest. Although drones for such inspections use GPS, our
Angel A. Rodriguez, Mohammad Shekaramiz, Mohammad A. S. Masoum   +2 more
doaj   +1 more source