An Efficient Connected Swarm Deployment via Deep Learning
Saved in:
| Main Authors: | Kiril Danilchenko, Michael Segal |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Information Processing Society
2021-09-01
|
| Series: | Annals of computer science and information systems |
| Online Access: | https://annals-csis.org/Volume_25/drp/pdf/001.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Online Learning Framework for Radio Link Failure Prediction in FANETs
by: Kiril Danilchenko, et al.
Published: (2023-09-01) -
Multi-Static Radar System Deployment Within a Non-Connected Region Utilising Particle Swarm Optimization
by: Yi Han, et al.
Published: (2024-10-01) -
Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks
by: Rahul Priyadarshi
Published: (2025-08-01) -
Design and Deployment of Swarm Engineering Systems: Insights, Challenges, and Innovations
by: Raza Muhammad Kazim, et al.
Published: (2025-01-01) -
Autonomous deployment and energy efficiency optimization strategy of UAV based on deep reinforcement learning
by: Yi ZHOU, et al.
Published: (2019-06-01)