Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Autonomous unmanned aerial vehicle navigation using reinforcement learning: A systematic review
F AlMahamid, K Grolinger - Engineering Applications of Artificial …, 2022 - Elsevier
There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones,
in different applications such as packages delivery, traffic monitoring, search and rescue …
in different applications such as packages delivery, traffic monitoring, search and rescue …
B5G and explainable deep learning assisted healthcare vertical at the edge: COVID-I9 perspective
B5G-based tactile edge learning shows promise as a solution to handle infectious diseases
such as COVID-19 at a global level. By leveraging edge computing with the 5G RAN …
such as COVID-19 at a global level. By leveraging edge computing with the 5G RAN …
Leveraging deep reinforcement learning for traffic engineering: A survey
After decades of unprecedented development, modern networks have evolved far beyond
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …
Efficient online testing for DNN-enabled systems using surrogate-assisted and many-objective optimization
With the recent advances of Deep Neural Networks (DNNs) in real-world applications, such
as Automated Driving Systems (ADS) for self-driving cars, ensuring the reliability and safety …
as Automated Driving Systems (ADS) for self-driving cars, ensuring the reliability and safety …
[HTML][HTML] Flying free: A research overview of deep learning in drone navigation autonomy
Drones | Free Full-Text | Flying Free: A Research Overview of Deep Learning in Drone
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
Automatic domain-specific soc design for autonomous unmanned aerial vehicles
Building domain-specific accelerators is becoming increasingly paramount to meet the high-
performance requirements under stringent power and real-time constraints. However …
performance requirements under stringent power and real-time constraints. However …
Reinforcement learning algorithms: An overview and classification
F AlMahamid, K Grolinger - 2021 IEEE Canadian Conference …, 2021 - ieeexplore.ieee.org
The desire to make applications and machines more intelligent and the aspiration to enable
their operation without human interaction have been driving innovations in neural networks …
their operation without human interaction have been driving innovations in neural networks …
UAV path planning and obstacle avoidance based on reinforcement learning in 3d environments
GT Tu, JG Juang - Actuators, 2023 - mdpi.com
This study proposes using unmanned aerial vehicles (UAVs) to carry out tasks involving
path planning and obstacle avoidance, and to explore how to improve work efficiency and …
path planning and obstacle avoidance, and to explore how to improve work efficiency and …
Roofline model for uavs: A bottleneck analysis tool for onboard compute characterization of autonomous unmanned aerial vehicles
We introduce an early-phase bottleneck analysis and characterization model called the F-1
for designing computing systems that target autonomous Unmanned Aerial Vehicles (UAVs) …
for designing computing systems that target autonomous Unmanned Aerial Vehicles (UAVs) …