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Found 6 papers, 3 papers with code
AAM-VDT: Vehicle Digital Twin for Tele-Operations in Advanced Air Mobility
This study advanced tele-operations in Advanced Air Mobility (AAM) through the creation of a Vehicle Digital Twin (VDT) system for eVTOL aircraft, tailored to enhance remote control safety and efficiency, especially for Beyond Visual Line of Sight (BVLOS) operations.
Neural Multigrid Memory For Computational Fluid Dynamics
Turbulent flow simulation plays a crucial role in various applications, including aircraft and ship design, industrial process optimization, and weather prediction.
Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation Control
The feature that measures the total distance traveled by the UAVs is incorporated with the UAV LDS environment to validate the energy efficiency.
Ranked #1 on
Multi-agent Reinforcement Learning
on UAV Logistics
Multi-agent Reinforcement Learning
reinforcement-learning
+3
QRGAN: Quantile Regression Generative Adversarial Networks
Least Squares GAN (LSGANs) and Wasserstein GANs (WGAN) are of representative variants of GANs in literature that diminish the inherent problems of GANs by proposing the modification methodology of loss functions.
WaNet - Imperceptible Warping-based Backdoor Attack
With the thriving of deep learning and the widespread practice of using pre-trained networks, backdoor attacks have become an increasing security threat drawing many research interests in recent years.
Deep Learning Approach for Receipt Recognition
Inspired by the recent successes of deep learning on Computer Vision and Natural Language Processing, we present a deep learning approach for recognizing scanned receipts.
