… research directions for Bayesian filtering with deep learning. … Deep learning-aided synthetic
airspeed estimation of UAVs … Machine learning/artificial intelligence for sensor data fusion–…

… urgent problem to detect UAVs (Unmanned aerial vehicles) in … direction motion parameters
are key motion patterns for UAV … Convolutional LSTM network: A machine learning approach …

… , high data rate and antijamming capability in UAV-to-UAV (V2V) communication grow rapidly.
… ad-hoc network were reviewed. Some valuable research directions were summarized to …

… tection in large images using deep reinforcement learning[C]//… UAV imagery, relevant
algorithms were analyzed. At last, the existing problems and possible future development directions …

… problem of inconsistency between the optimization direction … Deep reinforcement learning
for joint channel selection and … reinforcement learning aided resource allocation for UAV anti-…

… Finally, problems that remain to be addressed as well as future research directions in the …
-time efficient cluster collaboration are the research directions of cluster control technology. …

… challenges faced by VNE in these networks based on their characteristics. It then elucidated
the current state of research … Finally, it provided a foresight into future research directions, …

… =(drone or UAV or AI or intelligent or detection or segmentation or precision or spray or
unmanned or robot or sensor or “deep learning” or “machine learning” … The research directions of …

… Deep transfer learning network model for micro-motion feature recognition of drones …
Deep reinforcement learning control for radar detection and tracking in congested spectral …

… (MADRL, multi-agent deep reinforcement learning)方法来 … UAV-based estimation of
direction of arrival: an approach … highly mobile networks: a hierarchical DRL approach[J]. IEEE …