[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Wang et al., 2020 - Google Patents

Intelligent drone-assisted fault diagnosis for B5G-enabled space-air-ground-space networks

Wang et al., 2020

View PDF
Document ID
14403725447805291390
Author
Wang X
Lin H
Zhang H
Miao D
Miao Q
Liu W
Publication year
Publication venue
IEEE Transactions on Network Science and Engineering

External Links

Snippet

The ubiquitous network services provided by the Beyond 5G enabled space-air-ground-sea networks (B5G-SAGS) depends on the reliability of each intelligent device within. However, the QoS of B5G-SAGS could be compromised if there exists faults on individual network …
Continue reading at drive.google.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps

Similar Documents

Publication Publication Date Title
Heidari et al. Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Wang et al. Intelligent drone-assisted fault diagnosis for B5G-enabled space-air-ground-space networks
Alsamhi et al. Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perspectives
Xiao et al. A sampling-based Bayesian approach for cooperative multiagent online search with resource constraints
Capitan et al. Decentralized multi-robot cooperation with auctioned POMDPs
CN109116349B (en) Multi-sensor cooperative tracking joint optimization decision method
Bahr et al. Cooperative localization for autonomous underwater vehicles
Hoffmann et al. Distributed cooperative search using information-theoretic costs for particle filters, with quadrotor applications
Zhang et al. An efficient UAV localization technique based on particle swarm optimization
Khan et al. RSSI‐controlled long‐range communication in secured IoT‐enabled unmanned aerial vehicles
Zhu et al. Design and Analysis of Collaborative Unmanned Surface‐Aerial Vehicle Cruise Systems
Yadav et al. A systematic review of localization in WSN: Machine learning and optimization‐based approaches
Lin et al. Topology‐based distributed optimization for multi‐UAV cooperative wildfire monitoring
Khelifi et al. Swarm unmanned aerial vehicles (SUAVs): a comprehensive analysis of localization, recent aspects, and future trends
Severson et al. Distributed multitarget search and track assignment with consensus-based coordination
Zhang et al. Aerial edge computing: A survey
Tuba et al. Drone placement for optimal coverage by brain storm optimization algorithm
Wang et al. Task scheduling for distributed AUV network target hunting and searching: An energy-efficient AoI-aware DMAPPO approach
Sai et al. A comprehensive survey on artificial intelligence for unmanned aerial vehicles
Zhang et al. Rapid penetration path planning method for stealth uav in complex environment with bb threats
Feng et al. Target tracking based on improved square root cubature particle filter via underwater wireless sensor networks
Vazquez-Olguin et al. Distributed UFIR filtering over WSNs with consensus on estimates
Gura et al. Automated system for dispatching the movement of unmanned aerial vehicles with a distributed survey of flight tasks
Varotto et al. Active sensing for search and tracking: A review
Sun et al. Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques