Results 51 to 60 of about 277,600 (360)
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction
IEEE Transactions on Medical Imaging, 2021 Deep learning has attracted rapidly increasing attention in the field of tomographic image reconstruction, especially for CT, MRI, PET/SPECT, ultrasound and optical imaging.
Weiwen Wu +5 more
semanticscholar +1 more source
Signal Expansion Method in Indoor FMCW Radar Systems for Improving Range Resolution
Sensors, 2021 As various unmanned autonomous driving technologies such as autonomous vehicles and autonomous driving drones are being developed, research on FMCW radar, a sensor related to these technologies, is actively being conducted. The range resolution, which is
Seongmin Baek, Yunho Jung, Seongjoo Lee
doaj +1 more source
Exact Methods for the Traveling Salesman Problem with Drone
Transportation Science, 2021 Efficiently handling last-mile deliveries becomes more and more important nowadays. Using drones to support classical vehicles allows improving delivery schedules as long as efficient solution methods to plan last-mile deliveries with drones are ...
R. Roberti, Mario Ruthmair
semanticscholar +1 more source
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey [PDF]
IEEE Communications Surveys and Tutorials, 2021 Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural changes are not made, the upcoming
Vikas Hassija +7 more
semanticscholar +1 more source
Intelligent Video Data Security: A Survey and Open Challenges
IEEE Access, 2021 A range of video contents and technology have provided convenience to humans, with real-time video applications-such as surveillance applications-able to contribute to increasing public safety by reducing physical crimes.
Jin-Yong Yu, Yujun Kim, Young-Gab Kim
doaj +1 more source
A Deep Learning Approach to Drone Monitoring
, 2017 A drone monitoring system that integrates deep-learning-based detection and tracking modules is proposed in this work. The biggest challenge in adopting deep learning methods for drone detection is the limited amount of training drone images.
Aggarwal, Pranav +3 more
core +1 more source
Enhancement of dronogram aid to visual interpretation of target objects via intuitionistic fuzzy hesitant sets [PDF]
, 2019 In this paper, we address the hesitant information in enhancement task often caused by differences in image contrast. Enhancement approaches generally use certain filters which generate artifacts or are unable to recover all the objects details in images.
Bhattacharyya, Siddhartha +3 more
core +1 more source
IEEE AccessThe increasing demand for wind power requires more frequent inspections to identify defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise the structural integrity and safety of wind turbines.
Majid Memari +4 more
doaj +1 more source
Drone Detection and Tracking Using RF Identification Signals
Italian National Conference on Sensors, 2023 The market for unmanned aerial systems (UASs) has grown considerably worldwide, but their ability to transmit sensitive information poses a threat to public safety.
Driss Aouladhadj +5 more
semanticscholar +1 more source
Expanding Electric and Vehicle-Based Solar Transit Options with Breakthrough Vehicular Efficiencies
World Electric Vehicle JournalTraditional approaches to overcoming energy loss from resistances of vehicular transit velocities have focused primarily on reducing aerodynamic drag through streamlining air flow.
Adam B. Suppes, Galen Suppes
doaj +1 more source