Results 31 to 40 of about 277,600 (360)
Combined Deep Learning and SOR Detection Technique for High Reliability in Massive MIMO Systems
IEEE Access, 2021 In this paper, a novel iterative detection technique that combines deep learning (DL) and the approximated algorithm of successive over relaxation (SOR) is proposed to achieve high reliability and reduce the computational complexity.
Jun-Yong Jang +3 more
doaj +1 more source
Drones and Cognitive Dissonance [PDF]
, 2013 There’s something about drones that makes sane people crazy. Is it those lean, futurist profiles? The activities drone technologies enable? Or perhaps it’s just the word itself–drone–a mindless, unpleasant, dissonant thrum.
Brooks, Rosa
core +2 more sources
Embedded Firmware Rehosting System Through Automatic Peripheral Modeling
IEEE Access, 2023 Embedded devices are becoming increasingly common and, as a result, more susceptible to security threats. Consequently, analyzing the firmware of these devices is essential for detecting and mitigating vulnerabilities.
Youngwoo Lee +3 more
doaj +1 more source
Proceedings of the 38th International Conference on Software Engineering Companion, 2016 We propose and explore a new paradigm called Code Drones in which every software artifact such as a class is an intelligent and socially active entity. In this paradigm, humanized artifacts take the lead and choreograph (socially, in collaboration with other intelligent software artifacts and humans) automated software engineering solutions to a myriad
Acharya, Mithun P. +4 more
openaire +2 more sources
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections [PDF]
2020 IEEE Intelligent Vehicles Symposium (IV), 2019 Automated vehicles rely heavily on data-driven methods, especially for complex urban environments. Large datasets of real world measurement data in the form of road user trajectories are crucial for several tasks like road user prediction models or ...
Julian Bock +5 more
semanticscholar +1 more source
Improved YOLOv5: Efficient Object Detection Using Drone Images under Various Conditions
Applied Sciences, 2022 With the recent development of drone technology, object detection technology is emerging, and these technologies can also be applied to illegal immigrants, industrial and natural disasters, and missing people and objects.
Hyun-Ki Jung, Gi-Sang Choi
semanticscholar +1 more source
Joint Resource and Trajectory Optimization for Energy Efficiency Maximization in UAV-Based Networks
Mathematics, 2022 The explosive growth of unmanned aerial vehicles (UAVs)-based networks has accelerated in recent years. One of the crucial tasks of a UAV-based network is managing and allocating resources, including time, power, fly trajectory, and energy resources.
Tran Van Tung +2 more
doaj +1 more source
Journal of Current Ophthalmology, 2019 To report a case of solar retinopathy due to inadvertent exposure to the sun while piloting a drone without protective eyewear.A 29-year-old male underwent a complete eye exam including optical coherence tomography (OCT) of the macula.Bilateral juxtafoveal outer retinal microcystic cavities present on OCT consistent with solar retinopathy.With the ...
Victoria Rohring +4 more
openaire +3 more sources
Italian National Conference on Sensors, 2023 Recently, owing to the high mobility and low cost of drones, drone-based delivery systems have shown considerable potential for ensuring flexible and reliable parcel delivery.
Asif Mahmud Raivi +3 more
semanticscholar +1 more source
Remote Sensing, 2023 In this paper, we propose a multi-position cluster-based weighted position estimation method that minimizes the influence of multipath (MP)/non-line-of-sight (NLOS) signals using a global navigation satellite system (GNSS) receiver.
Hak Ju Kim +5 more
doaj +1 more source