Results 11 to 20 of about 638,049 (357)

Research on automatic pilot repetition generation method based on deep reinforcement learning

Frontiers in Neurorobotics, 2023
Using computers to replace pilot seats in air traffic control (ATC) simulators is an effective way to improve controller training efficiency and reduce training costs.
Weijun Pan, Peiyuan Jiang, Yukun Li, Zhuang Wang, Junxiang Huang   +4 more
doaj   +1 more source

A Normal Wiggly Pythagorean Hesitant Fuzzy Bidirectional Projection Method and Its Application in EV Power Battery Recycling Mode Selection

IEEE Access, 2020
As a useful mathematical tool to solve the multi-attribute decision-making (MADM) problems, Pythagorean hesitant fuzzy set (PHFS) permits decision makers (DMs) to give several evaluation values in membership and non-membership degrees.
Chengxiu Yang, Qianzhe Wang, Weidong Peng, Jiaqiang Zhang, Jie Zhu   +4 more
doaj   +1 more source

Air Channel Planning Based on Improved Deep Q-Learning and Artificial Potential Fields

Aerospace, 2023
With the rapid advancement of unmanned aerial vehicle (UAV) technology, the widespread utilization of UAVs poses significant challenges to urban low-altitude safety and airspace management.
Jie Li, Di Shen, Fuping Yu, Renmeng Zhang   +3 more
doaj   +1 more source

Air traffic control activity increases attention capacity in air traffic controllers

Dementia & Neuropsychologia, 2010
Abstract Air traffic controllers simultaneously develop complex and multiple tasks in the course of their activities. In this context, concern is raised over the high level of attention needed by these professionals which can ultimately be affected by stress and fatigue.
Ribas, Valdenilson Ribeiro, Martins, Hugo André de Lima, Amorim, Gutemberg Guerra, Ribas, Renata de Melo Guerra, Almeida, Cláudia Ângela Vilela de, Ribas, Valéria Ribeiro, Vasconcelos, Carlos Augusto Carvalho de, Lima, Murilo Duarte Costa, Sougey, Everton Botelho, Castro, Raul Manhães de   +9 more
openaire   +5 more sources

Panoramic Convolutional Long Short-Term Memory Networks for Combat Intension Recognition of Aerial Targets

IEEE Access, 2020
Aiming at the limitation that traditional methods for combat intention recognition of aerial targets are difficult to effectively capture the essential characteristics of intelligence information, we design a novel deep learning method, Panoramic ...
Junjie Xue, Jie Zhu, Jiyang Xiao, Sheng Tong, Ling Huang   +4 more
doaj   +1 more source

Abstractions of stochastic hybrid systems [PDF]

, 2005
Many control systems have large, infinite state space that can not be easily abstracted. One method to analyse and verify these systems is reachability analysis. It is frequently used for air traffic control and power plants.
Bujorianu, L.M., Bujorianu, M. C., Lygeros, J.   +2 more
core   +2 more sources

Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning

Hangkong gongcheng jinzhan, 2022
Unmanned aerial vehicle(UAV)with the advantages of high effectiveness and flexible autonomy has gradually replaced manned aircraft to combat,and multi-UAV cooperative combat mission planning becomes the hot research issue.An end-to-end cooperative attack
LI Junsheng, YUE Longfei, ZUO Jialiang, YU Lixin, ZHAO Jiale   +4 more
doaj   +1 more source

Exploring the Use of Invalid Action Masking in Reinforcement Learning: A Comparative Study of On-Policy and Off-Policy Algorithms in Real-Time Strategy Games

Applied Sciences, 2023
Invalid action masking is a practical technique in deep reinforcement learning to prevent agents from taking invalid actions. Existing approaches rely on action masking during policy training and utilization.
Yueqi Hou, Xiaolong Liang, Jiaqiang Zhang, Qisong Yang, Aiwu Yang, Ning Wang   +5 more
doaj   +1 more source

Clustering Method of Large-Scale Battlefield Airspace Based on Multi A * in Airspace Grid System

Applied Sciences, 2022
Aiming at the problem of the wide range and great difficulty in the future of battlefield airspace control, based on the unique advantages of an airspace grid system in an airspace grid representation and time–space binary computing, this paper designs a
Ming Cai, Lujun Wan, Zhiqiang Jiao, Maolong Lv, Zhizhou Gao, Duo Qi   +5 more
doaj   +1 more source

Reconnaissance Mission Conducted by UAV Swarms Based on Distributed PSO Path Planning Algorithms

IEEE Access, 2019
Reconnaissance mission has a wide application in both civil and military fields, which provides intelligence and basis for the following decision-making to accomplish certain goals.
Yubing Wang, Peng Bai, Xiaolong Liang, Weijia Wang, Jiaqiang Zhang, Qixi Fu   +5 more
doaj   +1 more source