Zeng et al., 2024 - Google Patents
The study of DDPG based spatiotemporal dynamic deployment optimization of Air-Ground ad hoc network for disaster emergency responseZeng et al., 2024
View HTML- Document ID
- 16411243123514537885
- Author
- Zeng Y
- Tan X
- Sha M
- Hussain Z
- Lin T
- Tu J
- Wang H
- Liu B
- Li C
- Huang F
- Sha Z
- Publication year
- Publication venue
- International Journal of Applied Earth Observation and Geoinformation
External Links
Snippet
In situations where natural disasters damage public communication networks, self- organized emergency communication networks play a vital role as important resources for disaster monitoring and emergency response. Geographical conditions, communication …
- 238000005457 optimization 0 title abstract description 53
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Qadir et al. | Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review | |
| Yazid et al. | UAV-enabled mobile edge-computing for IoT based on AI: A comprehensive review | |
| Lv | The security of Internet of drones | |
| Aggarwal et al. | Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges | |
| Alsamhi et al. | Survey on artificial intelligence based techniques for emerging robotic communication | |
| Yan et al. | Task allocation and route planning of multiple UAVs in a marine environment based on an improved particle swarm optimization algorithm | |
| Abubakar et al. | A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches | |
| Yazici et al. | A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems | |
| Michailidis et al. | AI-inspired non-terrestrial networks for IIoT: Review on enabling technologies and applications | |
| Venturini et al. | Distributed reinforcement learning for flexible and efficient UAV swarm control | |
| Gupta et al. | Optimal placement of UAVs of an aerial mesh network in an emergency situation | |
| Feng et al. | Allocation using a heterogeneous space Voronoi diagram | |
| Tang et al. | A joint global and local path planning optimization for UAV task scheduling towards crowd air monitoring | |
| Li et al. | Multi-mechanism swarm optimization for multi-UAV task assignment and path planning in transmission line inspection under multi-wind field | |
| Zeng et al. | The study of DDPG based spatiotemporal dynamic deployment optimization of Air-Ground ad hoc network for disaster emergency response | |
| Shahid et al. | Path planning in unmanned aerial vehicles: An optimistic overview | |
| Prawiyogi et al. | Smart cities using machine learning and intelligent applications | |
| Sai et al. | A comprehensive survey on artificial intelligence for unmanned aerial vehicles | |
| Albanese et al. | Low-power deep learning edge computing platform for resource constrained lightweight compact UAVs | |
| Nengroo et al. | Management of distributed renewable energy resources with the help of a wireless sensor network | |
| Turukmane et al. | Multispectral image analysis for monitoring by IoT based wireless communication using secure locations protocol and classification by deep learning techniques | |
| CN110633843A (en) | Park inspection method, device, equipment and storage medium | |
| Mehmood et al. | An intelligent cluster-based communication system for multi-unmanned aerial vehicles for searching and rescuing | |
| Domingo | Power Allocation and energy cooperation for UAV-enabled mmwave networks: A multi-agent deep reinforcement learning approach | |
| Hassan et al. | Applications of Machine Learning in UAV Networks |