Zobrazeno 1 - 10
of 2 742
pro vyhledávání: '"gradient algorithm"'
Publikováno v:
工程科学学报, Vol 46, Iss 9, Pp 1630-1637 (2024)
Deep neural network-based video classification models enjoy widespread use because of their superior performance on visual tasks. However, with its broad-based application comes a deep-rooted concern about its security aspect. Recent research signals
Externí odkaz:
https://doaj.org/article/870860a303d249c29d70568f78b5c89c
Publikováno v:
Modelling, Vol 5, Iss 3, Pp 951-968 (2024)
Automated driving is a promising development in reducing driving accidents and improving the efficiency of driving. This study focuses on developing a decision-making strategy for autonomous vehicles, specifically addressing maneuvers such as lane ch
Externí odkaz:
https://doaj.org/article/f71439355fa041a8adbbee9c401e1c6d
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 164, Iss , Pp 110370- (2025)
The performance of existing protection methods for multi-terminal direct current systems depends on the availability and sizes of boundary components. To overcome the limitation, this paper proposes a non-unit DC line protection method based on the n
Externí odkaz:
https://doaj.org/article/ba2575889b834f398546972f8f8251d9
Autor:
Juan Carlos Lozano Medina, Vicente Henríquez Concepción, Carlos A. Mendieta Pino, Federico León Zerpa
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 9, Pp 103345- (2024)
Island electricity generation systems (IES) pose challenges in the integration of renewable energies that are compatible with security of supply. This work proposes a methodology and a proposed decision tool that allows the optimization of the produc
Externí odkaz:
https://doaj.org/article/8ef2e90fde8143d6ab43be6facb141f5
Publikováno v:
水下无人系统学报, Vol 32, Iss 1, Pp 79-86 (2024)
Based on the background of future modern maritime combats, a multi-agent deep reinforcement learning scheme was proposed to complete the cooperative round-up task in the swarm game confrontation of unmanned surface vehicles (USVs). First, based on di
Externí odkaz:
https://doaj.org/article/018c9e6c89c14515a342b69917ebb237
Autor:
Zhiling Chen, Xinghong Dai
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32477- (2024)
A dynamic cooperation is poised to redefine the limits of athlete safety and performance optimization in the dynamic field of sports science. A new age in sports analysis is promised by the combination of artificial intelligence (AI) and the internet
Externí odkaz:
https://doaj.org/article/dd3568acf6ea419e95bceb6777e302a0
Publikováno v:
Revue des Énergies Renouvelables, Pp 13 – 21-13 – 21 (2024)
This paper presents two novel maximum power point tracking (MPPT) control strategies utilizing the gradient optimization algorithm to maximize the wind turbine's output power while minimizing the chattering effect resulting from intermittent control
Externí odkaz:
https://doaj.org/article/ca88ffd3bcc94704a4472186d06141ec
Publikováno v:
Jixie chuandong, Vol 47, Pp 40-46 (2023)
A deep reinforcement learning (DRL)-based motion planning method is proposed to improve long planning elapse and lengthy path of the traditional planning algorithms for robotic manipulator movement in obstacle avoidance. Firstly, based on the mathema
Externí odkaz:
https://doaj.org/article/05a37baed57949dca57c4127b3a77bf0
Publikováno v:
In Journal of Energy Storage 1 July 2024 92
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