Powering uav with deep q-network for air quality tracking

HIGHLIGHTS

• who: Alaelddin F. Y. Mohammed and collaborators from the School of Computing, Gachon University, Seongnam, Korea European IT Solutions Institute, Dhaka, Bangladesh have published the research: Powering UAV with Deep Q-Network for Air Quality Tracking, in the Journal: Sensors 2022, 22, 6118. of /2022/
• what: To overcome the issue of limited navigation time in a complex polluted environment, the authors propose a Deep Q-network (DQN) solution. The aim is to find out the unhealthy area (AQI value 5 of 17 is greater than 150) in a short time. In DUPT, the authors compare . . .
  

   

  

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