Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Mingwei Lin"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6647-6665 (2024)
Abstract In the field of autonomous driving, trajectory prediction of traffic agents is an important and challenging problem. Fully capturing the complex spatio-temporal features in trajectory data is crucial for accurate trajectory prediction. This
Externí odkaz:
https://doaj.org/article/57980a275c76442291cc1c97fa002b80
Publikováno v:
Tongxin xuebao, Vol 45, Pp 166-181 (2024)
Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative traini
Externí odkaz:
https://doaj.org/article/0074ff611eb741f7a1042a50a6ecb0cf
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
IntroductionAutonomous Underwater Vehicles (AUVs) are capable of independently performing underwater navigation tasks, with side-scan sonar being a primary tool for underwater detection. The integration of these two technologies enables autonomous mo
Externí odkaz:
https://doaj.org/article/3f7a2f679f9a45c6a4426f50a967207c
Gaze-Assisted Prescribed Performance Controller for AUV Trajectory Tracking in Time-Varying Currents
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1643 (2024)
Trajectory tracking for underactuated autonomous underwater vehicles (AUVs) is challenging due to coupling dynamics, modeling inaccuracies, and unknown disturbances. To tackle this, we propose a decoupling gaze-assisted prescribed performance control
Externí odkaz:
https://doaj.org/article/e2c1604aacbf472182489b32745379da
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7419-7420 (2024)
Externí odkaz:
https://doaj.org/article/e2da0098e7d94cd2949afbbc14734f8d
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 6, p 1023 (2024)
The Autonomous Underwater Vehicle (AUV) is capable of autonomously conducting underwater cruising tasks. When combined with docking operations, the AUV can replenish its electric power after long-distance travel, enabling it to achieve long-range aut
Externí odkaz:
https://doaj.org/article/c557daeb73c54279be10be992538dfd8
Publikováno v:
AIMS Mathematics, Vol 8, Iss 7, Pp 16340-16359 (2023)
The concept of single-valued neutrosophic sets (SVNSs) is considered as an attractive tool for dealing with highly ambiguous and uncertain information. The correlation coefficient of SVNSs acts as an important measure in the single-valued neutrosophi
Externí odkaz:
https://doaj.org/article/63bf19d2fa0f40c9bf3cc8465a6349e5
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6089-6101 (2023)
Abstract Information leakage has become an urgent problem in multiple Online Social Networks (OSNs). The interactive communication of users has raised several privacy concerns. However, the current related work on privacy measurement only considers t
Externí odkaz:
https://doaj.org/article/487c17d7bb734e0eb172e47724c7d769
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 14072-14088 (2022)
In recent years, artificial intelligence methods have been widely applied to solve issues related to renewable energy because of their ability to solve nonlinear and complex data structures. In this paper, we provide a comprehensive bibliometric anal
Externí odkaz:
https://doaj.org/article/91b07d8c01f744da9b3924fdab4cd21b
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 2, Pp 1507-1524 (2022)
Abstract This study proposes a primary node election method based on probabilistic linguistic term set (PLTS) for the practical Byzantine fault tolerance (PBFT) consensus mechanism to effectively enhance the efficiency of reaching consensus. Specific
Externí odkaz:
https://doaj.org/article/422a91fd24c841caba61775631b6055f