An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning
Deep reinforcement learning (DRL) provides a new solution for autonomous robotic path
planning in a known indoor environment. Previous studies mainly focused on robot path …
planning in a known indoor environment. Previous studies mainly focused on robot path …
Joint Data Offloading and Energy-Efficient Secure MEC Resource Allocation Method for IoT Device Data in RAN Communication
Q He, J Li, X Zhu, A Jolfaei, Z Feng… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
As information technology rapidly advances, 5G technology, Radio Access Networks (RAN),
and the Internet of Things (IoT) have emerged as the core elements of next-generation …
and the Internet of Things (IoT) have emerged as the core elements of next-generation …
A Markov Jump System-based Mathematical Modeling Method for Collaborative Control of Unmanned Vehicles
H Bian, P Hao - IEEE Access, 2024 - ieeexplore.ieee.org
The rapid development of smart vehicles has made collaborative control of unmanned
vehicles a highly focused research field. Owing to the time-varying traffic context …
vehicles a highly focused research field. Owing to the time-varying traffic context …
A Novel Gesture Recognition Model Under Sports Scenarios Based on Kalman Filtering and YOLOv5 Algorithm
T Wu, X Fan - IEEE Access, 2024 - ieeexplore.ieee.org
With the development of computer vision, automatic gesture recognition towards sports
scenarios has been more significant in recent years. However, due to the complexity of …
scenarios has been more significant in recent years. However, due to the complexity of …
[引用][C] Road Network Traffic Flow Prediction Method Based on Graph Attention Networks
J Wang, S Yang, Y Gao, J Wang… - Journal of Circuits …, 2024 - World Scientific
With the acceleration of urbanization and the continuous growth of transportation demand,
the traffic management of smart city road networks has become increasingly complex and …
the traffic management of smart city road networks has become increasingly complex and …
[引用][C] A Deep Neural Network-Fused Mathematical Modeling Approach for Reliable Flight Control of Small Unmanned Aerial Vehicles
G Xu, W Su, M Pan, Y Wang, Z He, J Dong… - Journal of Circuits …, 2024 - World Scientific
In order to ensure the flight safety of small unmanned aerial vehicles (UAVs), a deep neural
network-fused mathematical modeling approach is put up for reliable flight control of small …
network-fused mathematical modeling approach is put up for reliable flight control of small …
[引用][C] An Intelligent Apple Identification Method via The Collaboration of YOLOv5 Algorithm and Fast Guided Filter Theory
E Zhang, H Zhang - Journal of Circuits, Systems and Computers, 2023 - World Scientific
Apple-picking robot can promote the development of smart agriculture, and accurate object
recognition in complex natural environments using deep learning algorithms is critical …
recognition in complex natural environments using deep learning algorithms is critical …
[引用][C] Data-Driven Smart Assessment For Enterprise Audit Risks Based on Radial Base Function Neural Network and Grey Correlation Analysis
J Yuan, Z Zhang, Z Chen - Journal of Circuits, Systems and …, 2024 - World Scientific
In era of big data, audit risk assessment is facing increasing business volume. Hence, it is
important to develop automatic audit risk assessment methods for enterprises with the …
important to develop automatic audit risk assessment methods for enterprises with the …