Recent advances of continual learning in computer vision: An overview
In contrast to batch learning where all training data is available at once, continual learning
represents a family of methods that accumulate knowledge and learn continuously with data …
represents a family of methods that accumulate knowledge and learn continuously with data …
Systematic and comprehensive review of clustering and multi-target tracking techniques for LiDAR point clouds in autonomous driving applications
Autonomous vehicles (AVs) rely on advanced sensory systems, such as Light Detection and
Ranging (LiDAR), to function seamlessly in intricate and dynamic environments. LiDAR …
Ranging (LiDAR), to function seamlessly in intricate and dynamic environments. LiDAR …
A unified spatial framework for UAV-aided mmWave networks
For unmanned aerial vehicle (UAV) aided millimeter wave (mmWave) networks, we propose
a unified three-dimensional (3D) spatial framework in this paper to model a general case …
a unified three-dimensional (3D) spatial framework in this paper to model a general case …
Automatic jamming signal classification in cognitive UAV radios
The integration of Cognitive Radio (CR) with Unmanned Aerial Vehicles (UAVs) is an
effective step towards relieving the spectrum scarcity and empowering the UAV with a high …
effective step towards relieving the spectrum scarcity and empowering the UAV with a high …
AI-based abnormality detection at the PHY-layer of cognitive radio by learning generative models
Introducing a data-driven Self-Awareness (SA) module in Cognitive Radio (CR) can support
the system to establish secure networks against various attacks from malicious users. Such …
the system to establish secure networks against various attacks from malicious users. Such …
Self-learning Bayesian generative models for jammer detection in cognitive-UAV-radios
Unmanned Aerial Vehicles (UAVs) attracted both industry and research community owing to
their fascinating features like mobility, deployment flexibility and strong Line of Sight (LoS) …
their fascinating features like mobility, deployment flexibility and strong Line of Sight (LoS) …
Multilevel anomaly detection through variational autoencoders and bayesian models for self-aware embodied agents
Anomaly detection constitutes a fundamental step in developing self-aware autonomous
agents capable of continuously learning from new situations, as it enables to distinguish …
agents capable of continuously learning from new situations, as it enables to distinguish …
A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks
Deploying unmanned aerial vehicles (UAVs) as aerial base stations is an exceptional
approach to reinforce terrestrial infrastructure owing to their remarkable flexibility and …
approach to reinforce terrestrial infrastructure owing to their remarkable flexibility and …
Active inference integrated with imitation learning for autonomous driving
Classical imitation learning methods suffer substantially from the learning hierarchical
policies when the imitative agent faces an unobserved state by the expert agent. To address …
policies when the imitative agent faces an unobserved state by the expert agent. To address …